Literature DB >> 33663567

Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity.

Matan Sorek1,2, Walaa Oweis1, Malka Nissim-Rafinia1, Moria Maman1, Shahar Simon1, Cynthia C Hession3,4, Xian Adiconis3,4, Sean K Simmons3,4, Neville E Sanjana5,6,7, Xi Shi5, Congyi Lu7, Jen Q Pan3, Xiaohong Xu8,9, Mahmoud A Pouladi9,10,11, Lisa M Ellerby12, Feng Zhang5,6,13,14, Joshua Z Levin3,4, Eran Meshorer15,16.   

Abstract

BACKGROUND: Many neurodegenerative diseases develop only later in life, when cells in the nervous system lose their structure or function. In many forms of neurodegenerative diseases, this late-onset phenomenon remains largely unexplained.
RESULTS: Analyzing single-cell RNA sequencing from Alzheimer's disease (AD) and Huntington's disease (HD) patients, we find increased transcriptional heterogeneity in disease-state neurons. We hypothesize that transcriptional heterogeneity precedes neurodegenerative disease pathologies. To test this idea experimentally, we use juvenile forms (72Q; 180Q) of HD iPSCs, differentiate them into committed neuronal progenitors, and obtain single-cell expression profiles. We show a global increase in gene expression variability in HD. Autophagy genes become more stable, while energy and actin-related genes become more variable in the mutant cells. Knocking down several differentially variable genes results in increased aggregate formation, a pathology associated with HD. We further validate the increased transcriptional heterogeneity in CHD8+/- cells, a model for autism spectrum disorder.
CONCLUSIONS: Overall, our results suggest that although neurodegenerative diseases develop over time, transcriptional regulation imbalance is present already at very early developmental stages. Therefore, an intervention aimed at this early phenotype may be of high diagnostic value.

Entities:  

Keywords:  Huntington’s disease; Neurodegenerative diseases; Neurological diseases; Pluripotent stem cells; Single cell; Smart-seq2; Stem cell model; Transcriptional heterogeneity; scRNA-seq

Mesh:

Year:  2021        PMID: 33663567      PMCID: PMC7934477          DOI: 10.1186/s13059-021-02301-6

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


  64 in total

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Authors:  Nina Fedoroff; Walter Fontana
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

2.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

3.  Smart-seq2 for sensitive full-length transcriptome profiling in single cells.

Authors:  Simone Picelli; Åsa K Björklund; Omid R Faridani; Sven Sagasser; Gösta Winberg; Rickard Sandberg
Journal:  Nat Methods       Date:  2013-09-22       Impact factor: 28.547

4.  Open chromatin structure in PolyQ disease-related genes: a potential mechanism for CAG repeat expansion in the normal human population.

Authors:  Matan Sorek; Lea R Z Cohen; Eran Meshorer
Journal:  NAR Genom Bioinform       Date:  2019-07-30

5.  Validation of noise models for single-cell transcriptomics.

Authors:  Dominic Grün; Lennart Kester; Alexander van Oudenaarden
Journal:  Nat Methods       Date:  2014-04-20       Impact factor: 28.547

6.  Cell Type-Specific Transcriptomics Reveals that Mutant Huntingtin Leads to Mitochondrial RNA Release and Neuronal Innate Immune Activation.

Authors:  Hyeseung Lee; Robert J Fenster; S Sebastian Pineda; Whitney S Gibbs; Shahin Mohammadi; Jose Davila-Velderrain; Francisco J Garcia; Martine Therrien; Hailey S Novis; Fan Gao; Hilary Wilkinson; Thomas Vogt; Manolis Kellis; Matthew J LaVoie; Myriam Heiman
Journal:  Neuron       Date:  2020-07-17       Impact factor: 17.173

7.  A yeast functional screen predicts new candidate ALS disease genes.

Authors:  Julien Couthouis; Michael P Hart; James Shorter; Mariely DeJesus-Hernandez; Renske Erion; Rachel Oristano; Annie X Liu; Daniel Ramos; Niti Jethava; Divya Hosangadi; James Epstein; Ashley Chiang; Zamia Diaz; Tadashi Nakaya; Fadia Ibrahim; Hyung-Jun Kim; Jennifer A Solski; Kelly L Williams; Jelena Mojsilovic-Petrovic; Caroline Ingre; Kevin Boylan; Neill R Graff-Radford; Dennis W Dickson; Dana Clay-Falcone; Lauren Elman; Leo McCluskey; Robert Greene; Robert G Kalb; Virginia M-Y Lee; John Q Trojanowski; Albert Ludolph; Wim Robberecht; Peter M Andersen; Garth A Nicholson; Ian P Blair; Oliver D King; Nancy M Bonini; Vivianna Van Deerlin; Rosa Rademakers; Zissimos Mourelatos; Aaron D Gitler
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

8.  Transcriptional burst frequency and burst size are equally modulated across the human genome.

Authors:  Roy D Dar; Brandon S Razooky; Abhyudai Singh; Thomas V Trimeloni; James M McCollum; Chris D Cox; Michael L Simpson; Leor S Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-11       Impact factor: 11.205

9.  Direct observation of frequency modulated transcription in single cells using light activation.

Authors:  Daniel R Larson; Christoph Fritzsch; Liang Sun; Xiuhau Meng; David S Lawrence; Robert H Singer
Journal:  Elife       Date:  2013-09-24       Impact factor: 8.140

10.  CCT complex restricts neuropathogenic protein aggregation via autophagy.

Authors:  Mariana Pavel; Sara Imarisio; Fiona M Menzies; Maria Jimenez-Sanchez; Farah H Siddiqi; Xiaoting Wu; Maurizio Renna; Cahir J O'Kane; Damian C Crowther; David C Rubinsztein
Journal:  Nat Commun       Date:  2016-12-08       Impact factor: 14.919

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