Literature DB >> 27668656

TSHZ3 deletion causes an autism syndrome and defects in cortical projection neurons.

Xavier Caubit1, Goff Lydia Kerkerian-Le1, Paolo Gubellini1, Joris Andrieux2, Pierre L Roubertoux3, Mehdi Metwaly1, Bernard Jacq1, Ahmed Fatmi1, Laurence Had-Aissouni1, Kenneth Y Kwan4,5, Pascal Salin1, Michèle Carlier6, Agne Liedén7, Eva Rudd7, Marwan Shinawi8, Catherine Vincent-Delorme9, Jean-Marie Cuisset10, Marie-Pierre Lemaitre10, Fatimetou Abderrehamane2, Bénédicte Duban11, Jean-François Lemaitre11, Adrian S Woolf12, Detlef Bockenhauer13, Dany Severac14, Emeric Dubois14, Ying Zhu4, Nenad Sestan4, Alistair N Garratt15, Laurent Fasano1.   

Abstract

TSHZ3, which encodes a zinc-finger transcription factor, was recently positioned as a hub gene in a module of the genes with the highest expression in the developing human neocortex, but its functions remained unknown. Here we identify TSHZ3 as the critical region for a syndrome associated with heterozygous deletions at 19q12-q13.11, which includes autism spectrum disorder (ASD). In Tshz3-null mice, differentially expressed genes include layer-specific markers of cerebral cortical projection neurons (CPNs), and the human orthologs of these genes are strongly associated with ASD. Furthermore, mice heterozygous for Tshz3 show functional changes at synapses established by CPNs and exhibit core ASD-like behavioral abnormalities. These findings highlight essential roles for Tshz3 in CPN development and function, whose alterations can account for ASD in the newly defined TSHZ3 deletion syndrome.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27668656      PMCID: PMC5083212          DOI: 10.1038/ng.3681

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


Autism spectrum disorder (ASD) defines a heterogeneous group of neurodevelopmental disorders that share core behavioral abnormalities, characterized by impairments in social communication and interaction, restricted interests and repetitive behaviors, as defined in DSM-51. ASD has a large genetic component2 and recent integrative genomic analyses have converged on altered fetal development of glutamatergic projection neurons of the cerebral cortex as a possible substrate3–5. The neocortex is a highly organized laminar structure. Neurons within each layer adopt specific identities and form appropriate local and long-distance connections. The proper formation of these synaptic connections is instrumental for cognitive and motor abilities, and defects in these developmental processes have been associated to ASD6. The different subtypes of cerebral cortical projection neurons (CPNs), distinguished by their molecular, physiological and connectional properties, have characteristic layer distribution. Neuronal positioning and acquisition of laminar and projectional identity are concomitantly controlled by cell type-specific and layer-specific transcriptional programs7. Sequence and copy number variations in the genes encoding key transcription factors modulating neuron positioning and identity, such as FEZF2 (also known as FEZL or ZFP312), SATB2, SOX5 and TBR1, have been found in patients with ASD or disabilities frequently associated with ASD, such as developmental and language delays or intellectual disability (ID)8–11. Recent spatiotemporal analysis of the human brain transcriptome has positioned teashirt zinc finger homeobox family member 3 (TSHZ3; also known as ZNF537) as a hub gene in a module (M8) of co-expressed genes with the strongest levels of expression in early cortical development; “hub genes” being defined as having the highest degree of connectivity, suggesting functional importance, within the module12. The module notably contains TBR1, FEZF2, FOXG1, SATB2 and EMX1, which have been functionally implicated in the development of CPNs13–21. Linkage analysis implicated 19q12 in autism22,23 and a genome-wide association study24 mentioned TSHZ3 as a potential autism susceptibility gene among 860 candidate genes, but no follow-up study has been performed. These data raise the core question of the role of TSHZ3 in cortical development and in the pathogenesis of neurodevelopmental disorders. We previously provided evidence that Tshz3 is required for the proper differentiation and/or survival of a neuronal subpopulation in the developing mouse hindbrain involved in the control of breathing25. As a consequence, Tshz3 mice fail to breathe and die at birth. Tshz3 is also expressed in the developing and adult mouse cortex26, where its function remains unknown. Here, we identify the gene TSHZ3 as the minimal region of overlap of 19q12q13.11 heterozygous deletions found in patients with neurodevelopmental disorders. By combining mouse genetics, RNA-seq analyses, electrophysiology and behavioral testing, we provide strong experimental evidence for a causal relationship between Tshz3 heterozygosity, functional defaults in cortical projection neurons and ASD.

Results

TSHZ3 haploinsufficiency causes neurocognitive impairment

We identified seven new patients from six unrelated families with 19q12q13.11 deletions (Fig. 1a). Patients 1, 2 and 5 have large overlapping deletions (2.4, 4.02 and 2.87 Mb, respectively), defining a minimal region of overlap of 0.83 Mb that encompasses a unique protein-coding gene, TSHZ3 (Fig. 1a and Table 1). Patients 3a, b, 6 and 7 have smaller deletions (1.0, 0.46 and 0.05 Mb, respectively), which also overlap only TSHZ3; the 50 kb microdeletion found in patient 7 deletes the second exon and part of the intron of TSHZ3. Interestingly, TSHZ3 is also deleted in 7 previously reported cases with 19q12q13.1 deletions27–30, 3 of which do not delete the previously described minimal region of overlap on 19q13.11 (Fig. 1a). These 3 literature cases share characteristic clinical features with the 7 cases reported here, including developmental delay (in particular absence or delay of speech), ID, autistic features and renal tract abnormalities, but not microcephaly or ectodermal dysplasia that are unique features associated with the 19q13.11 microdeletion syndrome (Table 1). Notably, among the 22 patients (7 patients in our cohort and 15 previously reported cases) with 19q12q13.11 deletions (Table 1), those diagnosed with ASD (patients 2, 6 and 7 from present study; patient 6 from27 and 5 from28), atypical autism (patient 3a) or ASD-related deficits (1 and 5 from this study) have TSHZ3 deletion (Fig. 1a and Table 1).
Figure 1

Schematic of deletions of the TSHZ3 locus and TSHZ3 expression in the human and mouse fetal neocortex

(a) An ideogram of chromosome 19 and the relevant interval of 19q12q13.12 are displayed at the top. Horizontal bars represent deletions spanning the TSHZ3 gene. Orange bars are for individuals from this study. These new cases allow delineating a novel minimal region of overlap (MRO) of approximately 50kb ([hg19] chr19:31,765,881-31,812,396) represented by a vertical green box, which spans the TSHZ3 gene only. This MRO, which corresponds to the deletion found in patient 7, uncovers the second exon and part of the intron of TSHZ3. Grey and black bars are for published cases deleting TSHZ3 with or without deletion of a previously described MRO (vertical yellow box) for the syndrome associated with 19q13.11 microdeletions. (b) Expression of TSHZ3 (red) and of markers of deep layers cortical neurons BCL11B (blue) and TBR1 (green) in the human cerebral cortex at 20 weeks of gestation and (c) in coronal brain sections of the mouse cortex at E18.5. Scale bar = 100 µm in (b) and 50 µm in (c). L2-6: Cortical layers 2-6; MZ: Marginal zone; SP: Subplate. In b, arrowheads point to double positive cells.

Table 1

Clinical features of individuals with deletions including TSHZ3 and/or the critical region characterizing the 19q13.11 deletion syndrome.

DeletionTSHZ3 but not the 19q13.11 syndrome critical regionTSHZ3 and 19q13.11 syndrome critical region19q13.11 syndrome critical region but not TSHZ3
PatientsCurrent studyChowdhury et al. (28)Adalat et al. Family 6 (27)Malan et al. (30)Kulharya et al. (29)Chowdhury (28)Malan et al. (30)Schuurs-Hoeijmakers et al. Gana et al.Chowdhury (28)Forzano et al.Venegas-Vega et al.
123a3b567Patient 4Patient 5Patient 3Patient 1Patient 1Patient 2Patient 3Patient 1Patient 2Patient 2
GenderFMMMMFFMFFMMFFMMMMFMFM
Deletion size (Mb)2.404.021.061.062.870.460.053.914.616.254.56.16118.164.273.192.41.742.632.301.372.49
Inheritancede novode novoinherited from motherinherited from motherde novoinherited from fatherfather not testedde novode novode novofather not testedde novofather not testedde novode novo
Phenotypic characteristic
Autistic features/behavioral disorderstereotypical gesture, attentiveness disorder, echolaliaASDatypical autismNDhyperactivity, social behavioral deshinibition, graphic dificultiesAutismASDAutismASD*
Renal tract anomaliesPyelocalyceal dilatationNephrolithiasis----Vesico-ureteral reflux grade 2--Congenital hydroureterPostnatal echogenic kidney**hydronephrosis--
Postnatal growth retardation+-++---+++++++++++++++
Birth weight; size defect--------++++++++++++++
Slender habitus---+--+---++++++++
Intellectual disabilitycognitive dysexecutive trouble, reasoning trouble, limitations in adaptive behaviour+--+too early to testcognitive impairmentDD or IDDD or IDDD or IDcognitive impairment+++++++++++
Other neurologic featuresmemory deficitseizures that required anti-epileptic drugsautoagressive behavior requiring neurolepticsWide-based gaithigh pain threshold, atypical febrile seizures, normal EEGpoor articulationfebrile seizuresone febrile seizureone febrile seizure
Developmental delayspeech delayabsence of speech+-speech delayspeech delayspeech delayspeech delayspeech delayspeech delayspeech delayabsence of speechabsence of speechspeech delayspeech disturbancespeech disturbancespeech disturbancespeech disturbancespeech disturbancespeech delayspeech disturbancespeech disturbance
Neonatal feeding difficulty+-++-++++++++++++--+++
Fifth finger clinodactyly------++--+++++++++
Core clinical features of patients with 19q13.11 deletion syndrome
Aplasia cutis in midline of scalp----+-----+++-++++-+++
Hair/eyebrows/eyelashes anomalies----------+++++++++
Microcephaly----------++++++++++++
Male hypospadiasNA----NANA-NANA+NANA++++NA+NA+
IUGR--------+-++++++++++NA

+, feature present; -, feature absent; ASD: autism spectrum disorder; Blank spaces correspond to data not documented; DD, developmental disorder; EEG, electroencephalogram; F, female; ID, intellectual disability; IUGR, intrauterine growth retardation; M, male; NA, not applicable; ND, not determined; WG, week of gestation.

ASD diagnosed upon follow up

postnatal imaging revealed bilateral short, echogenic kidneys with the left side contributing 87% function.

Table 1-only References:

J. H. Schuurs-Hoeijmakers et al., Refining the critical region of the novel 19q13.11 microdeletion syndrome to 750 Kb. J. Med. Genet. 46, 421 (2009).

S. Gana et al., 19q13.11 cryptic deletion: description of two new cases and indication for a role of WTIP haploinsufficiency in hypospadias. Eur. J. Hum. Genet. 20, 852 (2012).

F. Forzano et al., 19q13 microdeletion syndrome: Further refining the critical region. Eur. J. Med. Genet. 55, 429 (2012).

C. Venegas-Vega et al., 19q13.11 microdeletion concomitant with ins(2;19)(p25.3;q13.1q13.4)dn in a boy: potential role of UBA2 in the associated phenotype. Mol. Cytogenet. 7, 61 (2014).

Midfetal human deep cortical layer neurons express TSHZ3

TSHZ3 has been identified as a hub gene in a module (M8) of co-expressed genes with the highest levels in midfetal cerebral neocortex12. We performed a novel analysis of the original spatio-temporal human brain transcriptome data set, using TSHZ3 as a seed, to identify the 49 genes whose expression profiles show the highest correlation with TSHZ3 in the developing neocortex. This TSHZ3 network contains 34 ASD candidate genes, out of which 6 encode transcription factors that are key regulators of CPN identity and connectivity: TBR116,17, FEZF214,18, FOXG113, SATB219,21, SOX531,32 and MEF2C33,34 (Supplementary Fig. 1a,b and Supplementary Table 1). This prompted us to characterize the distribution of the TSHZ3 protein in human midfetal neocortex (i.e., 20 weeks postconception), in comparison with the localization of TBR1 and of BCL11B (also known as CTIP2), which are respective markers of corticothalamic and subcerebral projection neurons17,35. TSHZ3 was detected at the highest levels in L5, where it co-localized with BCL11B, and in L6 and subplate, where it co-localized with TBR1 (Fig. 1b). Since coexpression networks have implicated midfetal L5/L6 CPNs in ASD pathogenesis5, these data support the view that behavioral deficits associated with TSHZ3 deletion may be related to developmental defects in deep CPNs.

TSHZ3 is expressed in the embryonic mouse neocortex

The 19q12 region where the human TSHZ3 gene resides is syntenic with the region of the mouse chromosome 7 containing the mouse Tshz3 gene, and there is a high degree of conservation between TSHZ3 and Tshz3, with 95% amino acid identity in the protein sequences. Similar to the human, at E18.5 in the mouse cortex (equivalent to human midfetal development36), TSHZ3 was detected in postmitotic neurons of L5, L6 and the subplate (Fig. 1c). In the subplate and L6, TSHZ3 was present in TBR1-positive neurons and, within L5, TSHZ3 was detected in BCL11B-positive neurons (Fig. 1c). In contrast to human, TSHZ3 was also detected in L2-3 neurons (Fig. 1c).

Tshz3 deletion alters cortical layer marker gene expression

To identify genes that are regulated by Tshz3 in the neocortex, we performed RNA sequencing (RNA-Seq) using whole mouse cortex isolated from Tshz3 mutants and wild-type controls at E18.5. This analysis identified 243 differentially expressed (DEX) genes among which 116 were down-regulated and 127 were up-regulated (p<0.05) in Tshz3 mice (Supplementary Table 2). To determine whether some of the DEX genes are expressed in neuronal subtypes and might play functional roles in their development, we integrated information from the literature and several public data sources (DeCoN, Allen Brain Atlas, GenePaint, Eurexpress, the subplate gene expression atlas). This search yielded 23 genes expressed in the subplate, which contains some of the earliest generated neurons and the first functional synapses of the neocortex37, and 144 markers of CPNs, 62 being expressed in all layers and 82 with layer specificity (Fig. 2a and Supplementary Table 3). These latter include 52 markers of deep layer cortical neurons, 12 being specific to L5 (subcerebral projection neurons) and 27 specific to L6 (corticothalamic neurons) (Fig. 2b). Interestingly, 11/12 (91.6%) of the L5 markers were up-regulated and 23/27 (85.1%) of the L6 markers were down-regulated (Fig. 2b and Supplementary Table 3), indicating that Tshz3 mutation profoundly alters the gene-expression properties of deep layer cortical neurons. In order to identify the biological processes in which TSHZ3 may be involved in the mouse cortex, we performed a pathway analysis of the 211 protein-coding genes out of the 243 DEX genes using the PANTHER database38. Whereas only 9% of all mouse protein-coding genes (2,070/22,275) are components of the 150 PANTHER regulatory pathways, 19% of the DEX protein-coding genes (40/211) were involved in as much as 63 of these pathways. More specifically, out of the 49 brain and general development pathways encoded by the mouse genome, 39 (79.5%) were represented among DEX genes, with an enrichment for pathways related to neurotransmitter/neuropeptide receptor signaling (“metabotropic glutamate receptor”, “5HT1-4 type receptor mediated signaling pathway”…). Gene ontology (GO) analysis was performed for the 144 DEX genes categorized as CPN markers, considering separately the 52 deep CPN-specific genes and the others. GO terms related to neuron and axon development (“axogenesis”, “cell morphogenesis involved in neuron differentiation”, “neuron projection development”…) were identified among the most significant categories for the deep CPN-specific genes, specifically. These data suggest regulatory functions for TSHZ3 in cortical circuit development (Supplementary Table 4).
Figure 2

Tshz3 mice show altered gene expression of cortical layer markers at E18.5

(a) Venn diagram identifying the DEX genes common or specific to cortical neuron subtypes (CaPN, callosal projection neurons; CThPN, corticothalamic projection neurons; ScPN, subcerebral projection neurons). (b) Fold changes (FC, log2 scale) in the 52 DEX genes that are preferentially expressed in L5 and/or L6 in Tshz3 cortex vs. wild-type. *indicate genes also expressed in the subplate. (c) In situ hybridization for selected DEX genes on coronal brain sections (Fezf2, Gdf10, Ramp3, Hs3st4, Stac2, Col5a1), CPLX3 immunoreactivity and mRNA level variation ± s.e.m. (n = 3) analyzed by qRT-PCR in Tshz3 versus wild-type mice. Scale bars, 100 µm. * p<0.05; ** p<0.02 by unpaired two-tailed t test. In c, arrowheads point to CPLX3 positive cells. (d) Human brain and nervous system pathologies associated with orthologs of the 52 Tshz3-regulated DEX genes. Scores: 1, one study; 2, two studies; 3, three or more studies. ADHD: attention deficit/hyperactivity disorder; ALS: amyotrophic lateral sclerosis; ASD: autism spectrum disorder; OCD: obsessive compulsive disorder.

qRT-PCR for 14 DEX genes representative of different expression profiles (Fgf10 for L5, Fezf2 and Nr4a1 for L5/6, Ramp3 for L6, Col23a1, Gdf10, Gsg1l, Hs3st3b1, Hs3st4, Igfbp3, Ngfr and Stac2 for L6/subplate and Col5a1 and Cplx3 for subplate) validated RNA-seqdata by showing 100% concordance (Fig. 2c and Supplementary Fig. 2a,b). In situ hybridization (ISH) or immunocytochemistry, which gave reliable signal for 10 of these selected DEX genes, also confirmed the RNA-seq data and further provided information on the layer specificity of the molecular changes (Fig. 2c and Supplementary Fig. 2b). In addition, ISH for Fgf10, Ngfr, Col5a1 and Igfbp3 revealed spatial caudo-rostral variations for DEX genes, consistent with the gradient of Tshz3 expression (Supplementary Fig. 2b,c). Accordingly, the DEX gene list included previously identified caudal markers (Dkk3, Crym, Tshz2, Bhlhe22, Ngfr)17, and five additional genes were categorized here as caudal markers based either on a search in gene expression databases (Col5a1, Gdf10, Flrt1, Igfbp3) or on the present ISH data (Fgf10).

Tshz3 deletion modifies ASD-associated gene expression

Since 232 of the 243 mouse DEX genes have a non-ambiguous human ortholog, we reasoned that examining their disease association could represent a valuable clue as to TSHZ3 function. Extensive PubMed searches for all DEX genes human orthologs identified 157/232 genes (67.7%), which are established or putative cause for brain and/or nervous system disorders. Interestingly, the great majority of these genes (110/157; 70.1%) has been associated with ASD, the second most represented disease (20.4%) being schizophrenia (Supplementary Table 5). Among the orthologs of the 52 DEX genes expressed in L5/6, these percentages were 61% for association with ASD and 27% for association with schizophrenia (Fig 2d). Since recent studies associated deep layer CPNs to neurodevelopmental pathologies, including autism and schizophrenia5,36, our analyses point to TSHZ3 as a nexus in a brain developmental gene network whose defects are associated with these disorders.

Tshz3 deletion preserves cortical layering and projections

To investigate potential changes in cortical layering and neuronal density in Tshz3 mutants, we analyzed at E18.5 the expression of classical layer-specific markers for CPNs: SATB2, BCL11B, SOX5, TBR1 and TLE4, whose genes were not among the DEX genes. Tshz3 mutants showed normal expression of these 5 markers (Fig. 3a), indicating that, despite altered molecular identity, cortical layering was unaffected by Tshz3 deletion. No significant differences in cell numbers in L5 and in L6 were found in Tshz3 mutants in comparison to wild-type mice, when quantifying respectively the numbers of BCL11B-positive (33.94 ± 1.55 vs. 33.10 ± 2.23; p=0.7561), and TBR1-positive cells (93.45 ± 3.19 vs. 87.14 ± 3.22; p=0.1705) (cells/100 µm; n=28 sections from 3 animals per genotype).
Figure 3

Cortical layering and major axonal tracts are preserved in Tshz3 brains at E18.5

(a) Staining of markers that allow the distinction of cortical layers in coronal brain sections of the mouse cortex at E18.5. DAPI (blue). (b) L1-CAM (L1, green) and neurofilament (NF, red) and (c) L1-CAM (L1, white) immunostainings of coronal brain sections at E18.5. Numbered arrows point to: (1) fibers in the cortical intermediate zone, (2) striatal axonal bundles, (3) anterior commissure, (4) corpus callosum, (5) internal capsule, (6) optic chiasm, (7) optic tract, (8) cerebral peduncle, (9) corticothalamic tract. Hp: hippocampus; Nctx: neocortex; Thal: thalamus. Scale bars: 50 µm (a), 1 mm (b) and 0.5 mm (c).

To investigate whether the differential gene expression by deep layer neurons in Tshz3 mutant is associated with changes in axon pathfinding, we immunostained coronal sections of E18.5 Tshz3 brains for neurofilament (NF) and the axonal marker L1-cam, and compared them to sections from wild-type brains. We found that Tshz3 brains displayed no gross defects in major axon tracts (Fig. 3b,c).

Tshz3 haploinsufficiency alters neocortical gene expression

Heterozygous Tshz3 deletion that genetically mimics the TSHZ3 patient condition is expected to provide data relevant to processes underlying the human syndrome. The Tshz3 heterozygous mice showed decreased neonatal viability25,39 (100% lethal on C57BL/6J background and 50% on CD1 [Crl:CD1 (ICR); Charles River] or CBA/H GNC background), but otherwise they remain poorly characterized. Consistent with the association of Tshz3 deletion with renal tract defects (100% of Tshz3 homozygous mice had bilateral hydroureter)39, about 1/4 of heterozygous embryos from E16.5 onwards presented unilateral hydroureter (26.8%; 19/71). We tested whether such heterozygosity altered the expression of DEX genes identified at E18.5 in Tshz3 cortex. We addressed this question using qRT-PCR for the 14 DEX genes previously selected for the validation of RNA-seq data. In Tshz3 mice at E18.5, significant up or down-regulations vs. wild-type were found for 10 of them, as in Tshz3 mutants: Col5a1, Col23a1 Cplx3, Fgf10, Gsg1l, Hs3st3b1, Hs3st4, Igfbp3, Ngfr, Ramp3 (Fig. 4a). At P5, the expression of five genes was also modified in Tshz3 mice vs. wild-type, similarly to Tshz3 mutants: Cplx3, Fgf10, Gsg1l, Igfbp3, Ramp3 (Fig. 4a). At P20, two were differentially expressed in Tshz3 mice vs. wild-type as in Tshz3 mutants (Nr4a1, Ramp3), while 4 were inversely regulated (Col5a1, Col23a1, Gdf10, Igfbp3) (Fig. 4a). These results show that Tshz3 haploinsufficiency induces a complex temporal dynamic of molecular changes from embryonic to postnatal stages, presumably affecting the maturation/differentiation of cortical neurons.
Figure 4

Tshz3 mice exhibit altered expression of genes in the neocortex from embryonic to postnatal stages but main projection systems from deep CPNs are preserved

(a) Quantitative-PCR analyses of DEX genes in the cortex of Tshz3 (n=6) and wild-type (n=6) at E18.5, P5 and P20. Data are expressed as mean ± s.e.m. * p<0.05; ** p<0.02; *** p<0.005; unpaired t test. (b) Immunodetection of TSHZ3 (red) and BCL11B (green) in the cortex and the striatum. Boxed regions are magnified. TSHZ3/BCL11B double positive neurons are found in L6 and L5 but not in L2/3. The few TSHZ3 positive cells found in the striatum are not positive for BCL11B, a marker of MSNs. (c) Ipsilateral L5 (red) and L6 (green) cortical neurons are labeled 10 days after unilateral injection of cholera toxin B conjugated with Alexa-Fluor 488 into the striatum and conjugated with Alexa Fluor 647 into the thalamus in P28-old wild-type and Tshz3 mice, showing that the corticostriatal and corticothalamic tracts are present in the mutant and L5/L6 layering is preserved. cc: corpus callosum; st: striatum; WT: wild-type. Scale bars 200 µm.

Tshz3 haploinsufficiency alters synaptic function

Defects in the corticostriatal circuit have been implicated in ASD-like behaviors40. In the mouse, corticostriatal projection neurons are mostly located in L5 and their axons reach the striatum at P3-P441, where they start forming synapses from P10 onwards. Their main targets are the dendritic spines of medium-sized spiny neurons (MSNs), which constitute more than 90% of the whole striatal population and are projection neurons. In wild-type postnatal brains, TSHZ3 was expressed in corticostriatal neurons (Fig. 4b) but not in MSNs; the few striatal TSHZ3-positive neurons were not positive for BCL11B, which is enriched in MSNs (Fig. 4b)42, and are thus likely interneurons. We used the corticostriatal circuit as a model system to investigate the presence and functionality of CPNs in Tshz3. Dual retrograde tract-tracing from the dorsal striatum and from the thalamus using two different cholera toxin subunit B-conjugated fluorophores demonstrated that the corticostriatal projections from L5 CPNs and the corticothalamic projections from L6 CPNs were present in Tshz3 mouse brains as in wild-type (Fig. 4c). To analyze corticostriatal synaptic transmission, we performed slice electrophysiological recordings of MSNs in the dorsolateral striatum (Fig. 5a). Resting membrane potential, action potential (AP) discharge, input resistance and current-voltage relationship of MSNs were similar in wild-type and Tshz3 mice (Supplementary Fig. 3). However, paired-pulse ratio (PPR) of AMPA receptor-mediated excitatory postsynaptic currents (EPSCs), evoked by electrical stimulation of corticostriatal fibers, was lower in MSNs from Tshz3 mice (Fig. 5b). This suggests an increased probability of AP-dependent glutamate release from CPNs of heterozygous mice. Spontaneous miniature EPSCs (mEPSCs) recorded in the presence of tetrodotoxin were similar in wild-type and Tshz3 mice, in terms of both frequency (Fig. 5c) and amplitude (Fig. 5d). These data suggest, respectively, that AP-independent glutamate release from CPNs is not affected by heterozygous Tshz3 loss and that the sensitivity of AMPA receptors located on striatal MSNs is unchanged. Accordingly, the AMPA/NMDA receptor ratio was similar in Tshz3 mice compared to wild-type (Fig. 5e). Finally, we observed that corticostriatal long-term potentiation (LTP) was present in both wild-type and heterozygous mice, but was significantly enhanced in the latter (Fig. 5f).
Figure 5

Altered corticostriatal synaptic transmission and plasticity in Tshz3 mice

(a) Scheme of a mouse brain coronal slice with a CPN (dark gray), the stimulating electrode on the corpus callosum and the recording electrode on a striatal MSN (light gray). (b-f) Sample sizes (n) refer to the number of recorded MSNs. (b) PPR is lower in Tshz3 compared to wild-type (WT) mice [F(1,144)=38.7 (2-way ANOVA); *p<0.05, **p<0.01, ***p<0.001 (Bonferroni post-test)], suggesting increased AP-dependent glutamate release from corticostriatal synapses (traces show samples of 2 consecutive EPSCs normalized to EPSC1). (c) mEPSCs frequency (left graph: inter-event interval, p>0.05, 2-samples Kolmogorov-Smirnov test, 5 ms bins; right histogram: average frequency, p>0.05, Mann-Whitney test; traces show samples of mEPSCs) and (d) mEPSC amplitude (left graph: p>0.05, 2-samples Kolmogorov-Smirnov test, 1 pA bins; right histogram: p>0.05, Mann-Whitney test), as well as (e) AMPA/NMDA ratio, are similar between Tshz3 and WT mice, suggesting that heterozygous Tshz3 loss affects neither AP-independent glutamate release from corticostriatal synapses, nor ionotropic glutamate receptor sensitivity on striatal MSNs. (f) While corticostriatal LTP is induced in both WT and Tshz3 mice, this form of synaptic plasticity is significantly enhanced in mutants; left graph shows the time-course of EPSC amplitude (gray bar represents LTP induction protocol); right histogram shows the average EPSC amplitude after LTP induction (values are normalized to baseline; $p<0.001 vs. baseline, *p<0.001, Mann-Whitney test); traces depict sample EPSCs before (black) and after (gray) the induction of LTP in the two groups. Data are expressed as mean ± s.e.m.

Tshz3 haploinsufficiency results in autism-like behavior

Unless otherwise mentioned, Tshz3 male mice on a CBA/H/Gnc x CD1 F1 background were used for behavioral studies. We verified that these animals did not show visual, auditory or olfactory deficits (Supplementary Fig. 4). We then investigated whether Tshz3 haploinsufficiency resulted in ASD-like traits by measuring the two core features, i.e., impairment of social interactions and stereotyped repetitive behaviors with restricted interests, that serve to diagnose ASD (DSM-5)1. The first criterion was evaluated using a two-chamber device43 and a protocol we adapted44 (Fig. 6a) from the three-chamber test 45,46. Wild-type and Tshz3 did not significantly differ in exploration of empty boxes during the habituation stage (Fig. 6b). Unlike wild-type, Tshz3 mice did not interact more frequently with a conspecific than with an empty box containing a lure (sociability) (Fig. 6c) and they did not display more interaction with a “novel” vs. a “familiar” conspecific (preference for social novelty) (Fig. 6d). Similar results were obtained when examining mice with CD1 background and using the three-chamber test45,46 (Supplementary Fig. 5), which confirmed the robustness of the gene haploinsufficiency impact on social functioning. The second criterion (restricted, repetitive patterns of behavior) was assessed in three independent tasks. The marble-burying test showed a repetitive pushing and digging activity in the Tshz3 mice (Fig. 6e). In the hole-board, Tshz3 mice made a total number of nose dips similar to wild-type. But when considering separately exploratory and stereotyped dips as previously defined47,48, Tshz3 mice performed a higher number of stereotyped dips (Fig 6f, g). In the open-field, while the total distance walked was similar in the two genotypes (Fig 6h), the number of zone crossings was lower in the Tshz3 (Fig 6i), indicating a reduced field of interest. All the differences were characterized by an effect size that was large enough to be considered as being in the range of the pathological variation49. Since anxiety has a high prevalence in ASD50, we also measured anxiety-like behavior. Tshz3 mice avoided the central zone of the open-field (Fig. 6j) and, in an elevated plus-maze, while travelling similar total distance (Fig. 6k), they travelled less in the open arms (Fig. 6l), which indicates a higher anxiety-like behavior. The body mass was smaller in Tshz3 than in wild-type mice, but it did not reach the significance at the age of the experiment [(35.25 ± 2.10 g vs. 36.58 ± 1.96 g) for Fig. 6b-d and (36.01 ± 2.08 g vs. 37.18 ± 1.81 g) for Fig. 6e-l] and it never impacted the different behaviors when it was used as covariate (Supplementary Table 6). Together, the analyses indicated that Tshz3 haploinsufficiency resulted in ASD-like phenotype.
Figure 6

Tshz3 mice display autism-like behavioral deficits

(a-d) Social behavior. (a) Experimental design. Tshz3 mice have (b) normal activity in habituation, but (c) impaired sociability and (d) no preference for social novelty. The interaction genotype x sociability x social novelty is significant (F(1,22) = 39.88; p < 0.001; partial η2 = 0.64). The interactions genotype x sociability and genotype x social novelty are significant (ps < 0.001; partial η2 ≥ 0.48). Unlike wild-type, Tshz3 do not show higher number of contacts with a stranger B6 vs a lure (wild-type: dependent-t (11) = 4.53; d = 1.31; Tshz3 : dependent-t < 1) and with a stranger SWR vs the familiar B6 (wild-type: dependent-t (11) = 4.42; d = 1.28; Tshz3: dependent-t (11) = 1.40). (e-i) Narrowness of the field of interest. Tshz3 mice (e) bury more marbles (t(22)= 4.77; d = 1.96), (f) perform equivalent number of dips but (g) perform more stereotyped dips (t(22)= 4.41; d = 1.82). In the open field, Tshz3 mice (h) travel similar distance but (i) cross less the zones (t(22) = 3.33; d = 1.36). (j-l) Anxiety-like behavior. (j) Tshz3 mice spend less time in the open-field central area, with differences in each period (ts(22) ≥ 3.48; ds ≥ 1.17). In the elevated plus-maze, Tshz3 mice travel (k) a similar total distance compared to wild-type (t < 1), but (l) a smaller distance in the open arms (t(22) = 5.02; d = 2.05). ** p < 0.001; *** p < 0.0001. Data are mean ± s.e.m. from 12 mice per group.

Discussion

In the present study, we identified the TSHZ3 gene as the smallest region of overlap of 19q12q13.11 deletions in a new cohort of 7 patients and in 7 previously reported subjects27–30. The characteristic clinical features encompass neurodevelopmental disorders, including autistic traits, speech disturbance and intellectual disability, as well as renal tract abnormalities. Most deletions were de novo, supporting their association with the new syndrome described. Reduced penetrance can explain the inheritance of the deletion from unaffected parents. The autistic features presented by the patient who has the smallest (50 kb) deletion involving only the TSHZ3 gene lead to consider TSHZ3 as the gene of interest responsible for the neurocognitive phenotype of these patients. Thus, our data validate the GWAS-identified TSHZ3 gene24 as an ASD risk gene. A possible explanation for the scarcity of studies that have associated TSHZ3 with ASD could be that TSHZ3 is a dosage-sensitive gene whose haploinsufficiency is linked to high developmental lethality. In mice, Tshz3 heterozygosity is 50% lethal on CD1 background25 and 100% on C57BL/6J background39. We thus speculate that TSHZ3 mutations define an ASD subtype characterized by the clinical association of autistic features with other syndromic features, especially genito-urinary tract defects. Importantly, such an association should help identifying additional TSHZ3 patients. The link between TSHZ3 deletion and this newly reported syndrome is strengthened by the studies in the mouse. For instance, Tshz3/TSHZ3 is expressed at key stages of the developing metanephros51 and neocortex in mouse as in human, and Tshz3 mutation in the mouse recapitulates features of the human phenotype: hydroureter and ASD-relevant behavioral abnormalities. Interestingly, mutations in several genes have been associated with complex phenotype including both ASD features and renal tract abnormalities52–55. There is strong evidence for spatiotemporal convergence among groups of disease-related mutations, all known to lead to ASD, in midfetal L5/6 glutamatergic CPNs5. Interestingly, our coexpression network analysis of the developing human neocortex using TSHZ3 as a seed identified 34 ASD candidate genes among the 49 genes with highest correlation to TSHZ3, including TBR1, FEZF2 and SOX5. Moreover, 5 out of the 49 TSHZ3-connected genes in the human module are differentially expressed in Tshz3 mice and have been associated to ASD: FEZF2, KLHL1, PRDM8, SLA and SLC44A5 (Supplementary Fig. 1a). These data provide support to the hub position of TSHZ3 in a cortical transcriptional regulatory network associated with ASD. Our study in the mouse, by showing gene expression variation in the cerebral cortex, enrichment of ASD-related genes in orthologs of DEX genes, functional alteration in neural circuit formed by CPNs and behavioral abnormalities associated with Tshz3 deficiency, provide some clues on the link between TSHZ3 deletions and ASD. During prenatal development, we found that Tshz3 function is dispensable for cortical layering but required for normal expression of marker genes of subplate and deep layer cortical neurons, with enrichment for GO terms related to neuron and axon development when considering DEX genes categorized as deep CPN markers. In particular, the cortex of Tshz3 mice showed increased expression of Fezf2 in L6. Knowing that Fezf2 is normally down-regulated in L6 while being maintained at high level in L5 at the end of embryogenesis14,18, it can be suggested that high Fezf2 expression is aberrantly retained in L6 neurons in Tshz3 mutant cortex, as reported previously in Sox5 31,32 and Tbr1 16 mice neocortex. Tshz3 deletion also phenocopies the gene expression changes reported in Tbr1 mutant for Bhlhe22 (also known as Bhlhb5), Crym, Pcdh20, Ngfr and Tshz217, suggesting that Tshz3 may contribute to TBR1-dependent regulatory mechanism. However, contrarily to what has been observed in Tbr116 and Sox531 mutants, we found that axon pathfinding is preserved in Tshz3 mutants at E18.5, suggesting that Tshz3 may rather participate in the postnatal functional maturation of circuits formed by CPNs. This is consistent with the PANTHER analysis of DEX genes in these mutants showing enrichment for pathways related to neurotransmitter/neuropeptide receptor signaling. Perinatally in the mouse, axons from layer 5 CPNs of all cortical areas project towards the spinal cord and, from P0 to P6, they form a similar set of collaterals56. Then, between P6-P14, axon branches are selectively eliminated in an area-specific manner56. While defects in either collateral formation, selective branch elimination and/or synapse refinement might occur in Tshz3 mutant, the early neonatal lethality of Tshz3 makes it currently difficult to test this hypothesis. In the subplate, a highly dynamic sector of the developing neocortex, we observed altered expression of Fezf2 and Ngfr, which are critical for corticofugal connectivity and for giving information to thalamocortical incoming connections, respectively14,15. It is noteworthy that genes expressed in a subplate-specific manner during development show a statistically significant enrichment for association with ASD and schizophrenia37. Interestingly, Tshz3 mice, which closely model the condition of patients with heterozygous TSHZ3 deletion, also show altered gene expression in the embryonic and post-natal cortex, and their behavioral phenotype includes the two clinical traits characterizing ASD according to DSM-51: they display both poor sociability and poor interest in social novelty, not imputable to sensory deficits, and fulfill the restricted field of interest and repetitive behavior condition. The altered gene expression in the post-natal cortex of Tshz3 mice suggests that post-natal defects in CPN development or function can contribute to the ASD-like phenotype linked to Tshz3 heterozygosity. There is substantial evidence associating the corticostriatal circuitry with ASD40,57 and changes in corticostriatal function, although heterogeneous, have been evidenced in mouse ASD models, such as knock-outs for Shank358 or neuroligin-159 and in 16p11 mice60. Here we provide evidence for altered corticostriatal synaptic transmission (increased AP-dependent glutamate release) and plasticity (enhanced LTP) in Tshz3 mice, suggesting increased functional corticostriatal connectivity, consistent with functional imaging data from ASD patients57. The results from our mouse model thus reinforce the gene/phenotype relationship between TSHZ3 haploinsufficiency and autistic features we evidenced in patients with TSHZ3 deletion. This study, from human to rodent model, identifies TSHZ3/Tshz3 as a novel gene linked to ASD, essential for CPN development and function. Its deletion affects the cortical expression of a number of genes related to ASD and induces ASD-relevant deficits, associated with functional changes at synapses formed by deep layer CPNs without obvious alterations in neuron viability, layering and pathfinding. Our data point to TSHZ3 as a key member of a transcriptional regulatory network whose alteration at different nodes (such as TBR1, FEZF2, SATB2) can lead to a convergence of brain phenotypes centering on ASD, and to murine Tshz3 mutants as novel candidate animal models of ASD.

Online Methods

Consent and human ethics approval

All subjects or their legal representatives gave written informed consent for the study. The present work used only unlinked anonymized data and was performed in accordance with the declaration of Helsinski protocols and approved by the FRANCE, SWEDEN and USA ethics committees. The clinical cytogenetic sample consisted of patients referred to “France, Sweden, USA” from regional pediatricians, other health specialists and/or genetics centers. DNA from subjects was extracted from peripheral blood lymphocytes by standard extraction procedures.

Identification and mapping of deletions in 19q12q13.11

DNA concentration was measured with a NanodropTM spectrophotometer. The Agilent CGH array 60K was used for patients 1 and 2, 44K for patients 5 and 7 and 180K for patients 3a, 3b and parents (Agilent Technologies, Santa Clara, CA). Female or male genomic DNA was used as a reference in sex-match hybridization and results were analyzed with the CGH Analytics, CytoGenomics and Feature Extraction softwares (Agilent Technologies, Santa Clara, USA) and CytoSure Interpret software (Oxford Gene Technology, Oxfordshire, UK). To confirm deletion and check parents’ genome for carrier status (patients 1, 2, 4, 5 and 7), qRT-PCR was performed using the LightCycler480 SYBRgreen I Master chemistry on a LC480 apparatus (Roche, Basel, Switzerland) and data analyzed using the LightCycler 480 software. The Affymetrix Genome-Wide Human SNP Array 6.0 was used for patient 6. Copy number analysis was performed using the Affymetrix Genotyping Console Software.

Mouse strains

In all the experiments, wild-type littermates were used as control. The Tshz3 mouse line has been described previously39. Experimental procedures have been approved by the “Comité National de Réflexion Ethique sur l’Expérimentation Animale n°14” (ID number 57-07112012) and were in agreement with the recommendations of the European Communities Council Directive (2010/63/EU).

Histology

Fluorescence immunocytochemistry

Human fetal brains at 19 and 20 weeks of post-conception were obtained from the Human Fetal Tissue Repository of the Albert Einstein College of Medicine under the guidelines approved by the Yale Institutional Review Board. They were fixed by immersion in 4% paraformaldehyde (PFA) for 36 h, cryoprotected, frozen, and cryosectioned at 60 µm. For immunostaining, brain sections were prepared as previously published31. Mouse brains were dissected and fixed for 2 h in 4% PFA, cryoprotected overnight in PBS/20% sucrose, embedded in OCT, and cryostat (Leica CM 3050S) sectioned at 16 or 20 µm. Sections were incubated overnight at 4 °C with primary antibodies. L1-cam and neurofilament immunostaining was performed on 100 µm thick vibratome (Leica) sections processed for free floating and standard protocol. Primary/secondary antibodies and dilutions used are detailed in Supplementary Table 7. Images were acquired using a laser scanning confocal microscope (LSM780; Carl Zeiss) and processed using Adobe Photoshop.

Retrograde tracing

P28-old mice under xylazine/ketamine anesthesia received stereotaxic injections of 0.3 µl of Cholera Toxin Subunit B (CT-B, 1 mg/ml; Thermo Fisher Scientific) conjugated with Alexa-Fluor 488 in the striatum (A: +1 mm L:+1.8 mm DV: -2.9 mm from dura), and conjugated with Alexa Fluor 647 in the thalamus (A: -1.3 mm L: +1.15 mm DV: -3.5 mm from dura) using the bregma coordinates61. This allowed retrograde labeling of, respectively, L5 CPNs (striatal injection) and L6 CPNs (thalamic injection). At 10 days post-injection, animals were perfused transcardially with 4% PFA.

In situ hybridization

In situ hybridization was performed on 16 µm cryostat sections as previously described26, or on 80-100 µm thick vibratome (Leica) sections. Vibratome sections were pretreated with 10 μg/ml proteinase K for 5 min, hybridization and post-hybridization washes were done at 70 °C. Probes used are detailed in Supplementary Table 7. Signal was detected with alkaline phosphatase-conjugated anti-DIG antibody and nitro blue tetrazolium chloride/bromo-4-chloro-3-indolyl phosphate (NBT/BCIP) (Roche Applied Science).

Building of TSHZ3 gene co-expression network

The co-expression network of TSHZ3 was created using a published microarray data set, including samples from 1,340 tissue samples collected from 16 brain regions of 57 developing and adult healthy donors. A full description of tissue acquisition and processing, data generation, validation and analyses, has been provided12. We used TSHZ3 as a seed and we selected 49 genes with the highest correlation to TSHZ3. The network was created using VisANT, with nodes representing genes and edges representing pairwise correlation between genes. We set the cut-off of correlation > 0.7 for edges; i.e., only genes with correlation greater than 0.7 are connected.

Molecular analyses

RNA sequencing analysis

Three independent replicates, each containing cortices from 3-4 embryos from multiple litters, were prepared from wild-type and Tshz3 mutant neocortex at E18.5. RNA-Seq libraries were constructed from 1 µg of total RNA with the Truseq stranded mRNA sample preparation kit (Low throughput protocol) kit from Illumina. After poly-A based mRNA enrichment (poly-T oligo attached magnetic beads) and mRNA fragmentation (using divalent cations under elevated temperature), RNA fragments were copied into first strand cDNA using reverse transcriptase and random primers; the second strand cDNA was synthesized subsequently. These cDNA fragments were added with a single 'A' base and then ligated with the adapter. The products were purified and enriched with 15 cycles of PCR. The final cDNA libraries were validated with a DNA 1000 Labchip on a Bioanalyzer (Agilent) and quantified with a KAPA qPCR kit. For one sequencing lane, six libraries were pooled in equal proportions, denatured with NaOH and diluted to 7 pM before clustering. Clustering and 50 nt single read sequencing were performed according to the manufacturer’s instructions. Image analysis and basecalling were performed using the HiSeq Control Software and Real-Time Analysis component. Data quality was assessed using fastqc from the Babraham Institute and the Illumina software SAV (Sequence Analysis Viewer). Demultiplexing was performed using Illumina's sequencing analysis software (CASAVA 1.8.2). TopHat 2.0.9, a splice junction mapper62 (using Bowtie 2.1.063), was used to align RNA-Seq reads to mouse genome (mm10) with a set of gene model annotations (genes.gtf downloaded from UCSC on March 6 2013). Final read alignments having more than 3 mismatches were discarded. Then, the counting was performed with HTSeq count 0.5.3p9 (union mode). The data is from a strand-specific assay and the read has to be mapped to the opposite strand of the gene. Before statistical analysis, genes with less than 15 reads (cumulating all the analysed samples) were filtered and thus removed. DEX genes were identified using the Bioconductor package DESeq2 1.2.5. and the package edgeR 3.4.0., as genes with adjusted p-value<0.05, according to the false discovery rate method from Benjamini-Hochberg.

Database and bioinformatics analyses

In order to provide insight into the analyses of the 243 DEX genes, relevant information was extracted from several literature, disease or molecular databases: PubMed, SFARI, OMIM and PANTHER. The first three databases were used to characterize the brain and nervous system diseases associated to human orthologs of mouse DEX genes. Extensive Pubmed searches on each of these genes were performed between September 2015-April 2016 and all clinical brain/nervous system disorders observed in patients harboring mutations in each of the 232 orthologs of mouse DEX genes were noted (Supplementary Table 5). All 806 genes contained in the human module of the SFARI autism database64 were extracted and the SFARI genes common to the orthologs of mouse DEX genes were conserved (Supplementary Table 5). Finally, among the 232 human orthologs of mouse DEX genes, all genes for which a clear genotype-phenotype relationship is described in the human genetic OMIM database were also noted (Supplementary Table 5). The PANTHER database version 9.0 was used to characterize the regulatory pathways in which some of the DEX genes are engaged (Supplementary Table 4). Finally, a GO term enrichment analysis was performed using the MGI GO term finder in order to functionally compare, within the mouse DEX genes, those specific of cortical L5-L6 layers to those expressed in L2-L6 layers (Supplementary Table 4).

Quantitative RT-PCR

Total RNA from wild-type and Tshz3 mutant brains at E18.5 was prepared using Rneasy Plus Universal Mini Kit gDNA eliminator (Qiagen™) and first strand cDNA was synthesized using iScript Reverse Transcription Supermix kit (Bio-RAD™). Real-time PCR was performed on a CFX96 QPCR detection system (Bio-RAD™) using SYBR® GreenER™ qPCR SuperMixes (Life Technologies™). RT-qPCR conditions: 40 cycles of 95 °C for 15s and 60 °C for 60 s. Analyses were performed in triplicate. Transcript levels were first normalized to the housekeeping gene Gapdh, and then normalized to their respective control group. Primer sequences used for Sybr qPCR are listed in Supplementary Table 8. Statistical analysis was performed by unpaired t-test by using the qbasePLUS software version 2 (Biogazelle). A p- value <0.05 was considered to be significant.

Ex-vivo electrophysiology

Tshz3 and wild-type F1 littermates obtained by crossing CD1 Tshz3 males with CBA/H GNC females were used for electrophysiological recordings. Corticostriatal slices (250 µm) were obtained from brains at P21-28 as described previously65. MSNs of the dorsolateral striatum were identified by infrared videomicroscopy and by their electrophysiological properties66, and were recorded by borosilicate micropipettes (whole-cell patch-clamp, 5-6 MΩ) filled with an internal solution containing (in mM): 125 K-gluconate, 10 NaCl, 1 CaCl2, 2 MgCl2, 0.5 BAPTA, 19 HEPES, 1 Mg-ATP and 0.3 Na-GTP, pH 7.3. For NMDA/AMPA ratio experiments67, it contained (in mM): 140 CsCl, 10 NaCl, 0.1 CaCl2, 10 HEPES, 1 EGTA, 2 Mg-ATP and 0.5 Na-GTP. All recordings were performed in the presence of 50 µM picrotoxin. A tungsten bipolar electrode was placed in the dorsal corpus callosum to evoke EPSCs, while spontaneous miniature EPSCs (mEPSCs) were recorded in the presence of 1 µM tetrodoxin. LTP induction protocol consisted in three stimulation trains (100 Hz) of 3 s duration during which the neuron was depolarized to -10 mV, each train separated by a 20 s interval. Electrophysiological data were obtained by an AxoPatch 200B amplifier (Molecular Devices, USA) and analyzed offline by Clampfit 10.2 (Molecular Devices, USA) and MiniAnalysis 6.0 (Synaptosoft, USA). Statistical analysis was performed by Prism 5 (GraphPad, USA) software. Sample sizes, p values and statistical tests are indicated in Fig. 5 and Supplementary Fig. 3.

Behavioral testing

Unless otherwise mentioned, the Tshz3 and the wild-type mice were F1 littermates obtained by crossing CD1 Tshz3 males with CBA/H GNC females. Only the males were subjected to the experimental tasks, at 80-90 days of age. Each male was singly housed with a female in a physically-enriched environment from weaning until testing. Interest in social interactions was evaluated using a two-chamber social approach, restricted field of interest and repetitive behavior using the hole-board, open-field and marble burying tests, as described in44, and anxiety-like behavior using the open-field and elevated plus-maze. All the behavioral evaluations were scheduled between 10am-3pm, with low light (60-70 lux on the ground), except open-field (150 lux), by experimenters blinded to genotype. We performed parametric analysis with Statistical Package for the Social Science version 19 (SPSS)68. ANOVA for repeated measures was used for sociability and preference for social novelty with paired t for partial comparisons. Student t served for comparisons in the other tasks. ANCOVA served to partial out weight or general activity. The size of the effect was calculated for each inferential result 49.

Sociability and social novelty preference test

The sociability (number of interactions towards a conspecific) and the interest in social novelty (increased number of interactions towards an unknown conspecific, i.e a new arrival) were measured in the Tshz3 and wild-type male mice according to the principles of the three-chamber test45,46 but in a different two-chamber set up43,44, with opaque walls, as shown in Fig. 6a. The behavior was video recorded via a camera located 170 cm above the set up (Viewpoint-Behavior technologies). After a 5 min habituation in the smaller compartment, the assay consisted in three successive sessions of 10 min, during which the tested mouse was allowed to explore the total device and the numbers of nose pokes on two pencil boxes were counted. In the first session (habituation), the two boxes were empty. In the second (sociability), one box contained a stranger C57BL/6J (B6) male and the other a lure (a black pebble 37 mm long, 12 mm thick). In the third (social novelty), the C57BL/6J (B6) was left in its box and the lure was replaced by a stranger SWR male. Before the second and the third sessions, the tested mouse was gently pushed into the smaller compartment while positioning the B6 and the SWR conspecifics. The social interactions were also assessed in a separate series of experiments in Tshz3 and wild-type mice in a CD-1 background, using the three-chamber test according to the previously reported protocols45,46 but without the automation. Experiments were conducted in male mice, which were group-housed 3-5 per cage from weaning to behavioral testing.

Open field exploration test

Mice were placed at the periphery of a white cylinder (100 cm diameter), divided into three virtual concentric zones of equal surface (150 lux on the ground). The total distance walked, the number of zone crossing and the time spent in the center of the arena were video-recorded for 20 minutes and used respectively to assess ambulatory activity, field of interest and anxiety-like behavior.

Hole board test

Reduced field of interest with repetitive behavior was explored in an automated hole-board. The apparatus consisted of a grey vinyl plastic board (40 x 40 cm) with 16 equidistant holes (3.5cm diameter) forming 4 rows and four columns. Photobeams crossing the holes allowed automatic counts of nose pokes for each hole. The board was located in the center of a room (60 lux). The mouse was always placed in the same corner of the board and allowed to explore for 10 min. We measured the total number of nose dips according to47,48 distinguishing the exploratory dips from the stereotyped dips for each mouse.

Marble burying test

This test relates to pushing and digging behavior and provides a measure of repetitive and perseverating behavior69. The number of covered marbles depends on the frequency of pushing and digging episodes. The cages (40 x 40 x 18 cm) are filled with litter (5 cm thick). After a 10 min habituation period in a new cage, the tested mouse is restricted to a corner of the cage with a mobile partition, while twenty marbles (1 cm in diameter) in 4 evenly spaced rows of 5 marbles are placed on top of the bedding. The partition is removed and the mouse is left alone for 30 minutes. Buried was defined as completely covered by the litter and scored 3; the score 2 corresponded to 2/3 buried and score 1 to 1/2 buried.

Elevated plus-maze

The elevated plus-maze provides a measure of anxiety-like behavior based on the avoidance of a condition generating anxiety. We used a plus-shaped device with two open and two closed arms, elevated 80 cm from the floor. Each mouse was placed in the central area of the maze (6 × 6 cm), with its head towards the enclosed arm, and allowed to move freely for 15 min. The distance travelled (cm) in the opened and closed arms was measured by a video track system.

Sensory functions

We have examined Tshz3 and wild-type mice for vision, audition and olfaction, since the results obtained in different tasks depend on the integrity of these functions. The mice were subjected to sensorial controls within two weeks after the last experimental testing.

Visual performance

We took the mouse by the tail between the thumb and the forefinger and lifted it. The tip of a pencil was approached to its eyes, without touching the vibrissae. The mouse raised the head, extended the forelimbs and grasped or tried to grasp the pen when the visual function was undamaged. The scores were: raising the head (1), extending the forelimbs (2) and grasping or trying to grasp the pen (3). The task was administered four times at 10 minutes intervals. The score was the sum of the three last trials.

Auditory performance

The Preyer response was used for detecting potential auditory impairment. It consisted in pinna twitching and going flat backwards against the head as reaction to sound. The response was validated as an indicator of the auditory acuity by measuring the associated averaged evoked auditory potential70,71. We evaluated the responses to stimulations in the ultrasound bandwidth. The mice, placed in soundproof chamber, received sounds from two dog whistles (10 cm from the ear). The first produced 50 ± .008 kHz and the second 35 ± .010 kHz sounds. The mouse received 5 stimulations from each whistle at 3 minutes intervals. The Preyer response was scored 1 for a partial response (ear startling) and 2 for a full response (pinna going flat backwards against the head).

Olfactory capacities

The olfactory habituation/dishabituation test was performed according to the previously described classical protocol72 that measures the capacity to detect and discriminate different odors. Several odors were presented to the mouse on a cotton tip: neutral (water), non-social (synthetic violet and vanilla aromas that were sugar free) and social (urines from B6 and SWR male mice). Each odor was presented three times for two minutes and the time spent in sniffing the cotton tip was recorded. The median of three consecutive trials was calculated for each odor and for each mouse and the score of group was the mean score of the individual median score. The testing room was ventilated and only one mouse was present during the trials.
  65 in total

1.  Emx1 and Emx2 cooperate to regulate cortical size, lamination, neuronal differentiation, development of cortical efferents, and thalamocortical pathfinding.

Authors:  Kathie M Bishop; Sonia Garel; Yasushi Nakagawa; John L R Rubenstein; Dennis D M O'Leary
Journal:  J Comp Neurol       Date:  2003-03-17       Impact factor: 3.215

2.  Satb2 is a postmitotic determinant for upper-layer neuron specification in the neocortex.

Authors:  Olga Britanova; Camino de Juan Romero; Amanda Cheung; Kenneth Y Kwan; Manuela Schwark; Andrea Gyorgy; Tanja Vogel; Sergey Akopov; Miso Mitkovski; Denes Agoston; Nenad Sestan; Zoltán Molnár; Victor Tarabykin
Journal:  Neuron       Date:  2008-02-07       Impact factor: 17.173

3.  Fezl regulates the differentiation and axon targeting of layer 5 subcortical projection neurons in cerebral cortex.

Authors:  Bin Chen; Laura R Schaevitz; Susan K McConnell
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-11       Impact factor: 11.205

4.  Metabolic, synaptic and behavioral impact of 5-week chronic deep brain stimulation in hemiparkinsonian rats.

Authors:  Carine Chassain; Christophe Melon; Pascal Salin; Flora Vitale; Sébastien Couraud; Franck Durif; Lydia Kerkerian-Le Goff; Paolo Gubellini
Journal:  J Neurochem       Date:  2015-12-21       Impact factor: 5.372

5.  Modeling transformations of neurodevelopmental sequences across mammalian species.

Authors:  Alan D Workman; Christine J Charvet; Barbara Clancy; Richard B Darlington; Barbara L Finlay
Journal:  J Neurosci       Date:  2013-04-24       Impact factor: 6.167

6.  Deletions in 16q24.2 are associated with autism spectrum disorder, intellectual disability and congenital renal malformation.

Authors:  Gregory Ryan Handrigan; David Chitayat; Anath C Lionel; Maury Pinsk; Andrea K Vaags; Christian R Marshall; Sarah Dyack; Luis F Escobar; Bridget A Fernandez; Joseph C Stegman; Jill A Rosenfeld; Lisa G Shaffer; McKinsey Goodenberger; Jennelle C Hodge; Jason E Cain; Riyana Babul-Hirji; Dimitri J Stavropoulos; Verna Yiu; Stephen W Scherer; Norman D Rosenblum
Journal:  J Med Genet       Date:  2013-01-18       Impact factor: 6.318

7.  Membrane properties and synaptic responses of rat striatal neurones in vitro.

Authors:  Z G Jiang; R A North
Journal:  J Physiol       Date:  1991-11       Impact factor: 5.182

8.  Multiplex targeted sequencing identifies recurrently mutated genes in autism spectrum disorders.

Authors:  Brian J O'Roak; Laura Vives; Wenqing Fu; Jarrett D Egertson; Ian B Stanaway; Ian G Phelps; Gemma Carvill; Akash Kumar; Choli Lee; Katy Ankenman; Jeff Munson; Joseph B Hiatt; Emily H Turner; Roie Levy; Diana R O'Day; Niklas Krumm; Bradley P Coe; Beth K Martin; Elhanan Borenstein; Deborah A Nickerson; Heather C Mefford; Dan Doherty; Joshua M Akey; Raphael Bernier; Evan E Eichler; Jay Shendure
Journal:  Science       Date:  2012-11-15       Impact factor: 47.728

9.  Spatio-temporal transcriptome of the human brain.

Authors:  Hyo Jung Kang; Yuka Imamura Kawasawa; Feng Cheng; Ying Zhu; Xuming Xu; Mingfeng Li; André M M Sousa; Mihovil Pletikos; Kyle A Meyer; Goran Sedmak; Tobias Guennel; Yurae Shin; Matthew B Johnson; Zeljka Krsnik; Simone Mayer; Sofia Fertuzinhos; Sheila Umlauf; Steven N Lisgo; Alexander Vortmeyer; Daniel R Weinberger; Shrikant Mane; Thomas M Hyde; Anita Huttner; Mark Reimers; Joel E Kleinman; Nenad Sestan
Journal:  Nature       Date:  2011-10-26       Impact factor: 49.962

10.  Shank3 mutant mice display autistic-like behaviours and striatal dysfunction.

Authors:  João Peça; Cátia Feliciano; Jonathan T Ting; Wenting Wang; Michael F Wells; Talaignair N Venkatraman; Christopher D Lascola; Zhanyan Fu; Guoping Feng
Journal:  Nature       Date:  2011-03-20       Impact factor: 49.962

View more
  18 in total

1.  Integrative functional genomic analysis of human brain development and neuropsychiatric risks.

Authors:  Mingfeng Li; Gabriel Santpere; Yuka Imamura Kawasawa; Oleg V Evgrafov; Forrest O Gulden; Sirisha Pochareddy; Susan M Sunkin; Zhen Li; Yurae Shin; Ying Zhu; André M M Sousa; Donna M Werling; Robert R Kitchen; Hyo Jung Kang; Mihovil Pletikos; Jinmyung Choi; Sydney Muchnik; Xuming Xu; Daifeng Wang; Belen Lorente-Galdos; Shuang Liu; Paola Giusti-Rodríguez; Hyejung Won; Christiaan A de Leeuw; Antonio F Pardiñas; Ming Hu; Fulai Jin; Yun Li; Michael J Owen; Michael C O'Donovan; James T R Walters; Danielle Posthuma; Mark A Reimers; Pat Levitt; Daniel R Weinberger; Thomas M Hyde; Joel E Kleinman; Daniel H Geschwind; Michael J Hawrylycz; Matthew W State; Stephan J Sanders; Patrick F Sullivan; Mark B Gerstein; Ed S Lein; James A Knowles; Nenad Sestan
Journal:  Science       Date:  2018-12-14       Impact factor: 47.728

2.  MicroRNA-125b-1-3p mediates intervertebral disc degeneration in rats by targeting teashirt zinc finger homeobox 3.

Authors:  Xiaotong Meng; Yue Zhu; Lin Tao; Sichao Zhao; Shui Qiu
Journal:  Exp Ther Med       Date:  2018-01-08       Impact factor: 2.447

3.  Developmental Connectivity and Molecular Phenotypes of Unique Cortical Projection Neurons that Express a Synapse-Associated Receptor Tyrosine Kinase.

Authors:  Ryan J Kast; Hsiao-Huei Wu; Pat Levitt
Journal:  Cereb Cortex       Date:  2019-01-01       Impact factor: 5.357

Review 4.  Dysfunction of the corticostriatal pathway in autism spectrum disorders.

Authors:  Wei Li; Lucas Pozzo-Miller
Journal:  J Neurosci Res       Date:  2019-11-22       Impact factor: 4.164

5.  DNA methylome and transcriptome analysis established a model of four differentially methylated positions (DMPs) as a diagnostic marker in esophageal adenocarcinoma early detection.

Authors:  Weilin Peng; Guangxu Tu; Zhenyu Zhao; Boxue He; Qidong Cai; Pengfei Zhang; Xiong Peng; Shuai Shi; Xiang Wang
Journal:  PeerJ       Date:  2021-05-07       Impact factor: 2.984

6.  Modulation of miRNA expression in aged rat hippocampus by buttermilk and krill oil.

Authors:  M Carmen Crespo; Joao Tomé-Carneiro; Diego Gómez-Coronado; Emma Burgos-Ramos; Alba García-Serrano; Roberto Martín-Hernández; Shishir Baliyan; Javier Fontecha; César Venero; Alberto Dávalos; Francesco Visioli
Journal:  Sci Rep       Date:  2018-03-05       Impact factor: 4.379

7.  Multiplatform Molecular Profiling Reveals Epigenomic Intratumor Heterogeneity in Ependymoma.

Authors:  S John Liu; Stephen T Magill; Harish N Vasudevan; Stephanie Hilz; Javier E Villanueva-Meyer; Sydney Lastella; Vikas Daggubati; Jordan Spatz; Abrar Choudhury; Brent A Orr; Benjamin Demaree; Kyounghee Seo; Sean P Ferris; Adam R Abate; Nancy Ann Oberheim Bush; Andrew W Bollen; Michael W McDermott; Joseph F Costello; David R Raleigh
Journal:  Cell Rep       Date:  2020-02-04       Impact factor: 9.423

Review 8.  Congenital Disorders of the Human Urinary Tract: Recent Insights From Genetic and Molecular Studies.

Authors:  Adrian S Woolf; Filipa M Lopes; Parisa Ranjzad; Neil A Roberts
Journal:  Front Pediatr       Date:  2019-04-11       Impact factor: 3.418

Review 9.  Synaptic Wiring of Corticostriatal Circuits in Basal Ganglia: Insights into the Pathogenesis of Neuropsychiatric Disorders.

Authors:  Hsiao-Ying Kuo; Fu-Chin Liu
Journal:  eNeuro       Date:  2019-06-05

10.  A knock-in mouse model for KCNQ2-related epileptic encephalopathy displays spontaneous generalized seizures and cognitive impairment.

Authors:  Mathieu Milh; Pierre Roubertoux; Najoua Biba; Julie Chavany; Adeline Spiga Ghata; Camille Fulachier; Stephan Christopher Collins; Christel Wagner; Jean-Christophe Roux; Binnaz Yalcin; Marie-Solenne Félix; Florence Molinari; Pierre-Pascal Lenck-Santini; Laurent Villard
Journal:  Epilepsia       Date:  2020-04-02       Impact factor: 5.864

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.