Literature DB >> 26484209

Genome-wide copy number profiling of mouse neural stem cells during differentiation.

U Fischer1, N Ludwig1, A Keller2, C Backes2, E Meese1.   

Abstract

There is growing evidence that gene amplifications were present in neural stem and progenitor cells during differentiation. We used array-CGH to discover copy number changes including gene amplifications and deletions during differentiation of mouse neural stem cells using TGF-ß and FCS for differentiation induction. Array data were deposited in GEO (Gene Expression Omnibus, NCBI) under accession number GSE35523. Here, we describe in detail the cell culture features and our TaqMan qPCR-experiments to validate the array-CGH analysis. Interpretation of array-CGH experiments regarding gene amplifications in mouse and further detailed analysis of amplified chromosome regions associated with these experiments were published by Fischer and colleagues in Oncotarget (Fischer et al., 2015). We provide additional information on deleted chromosome regions during differentiation and give an impressive overview on copy number changes during differentiation induction at a time line.

Entities:  

Keywords:  Array-CGH; Gene amplification; Neural stem cell differentiation; qPCR

Year:  2015        PMID: 26484209      PMCID: PMC4583622          DOI: 10.1016/j.gdata.2015.04.021

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Direct link to deposited data

Deposited data can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE35523.

Experimental design, materials and methods

Cell culture and differentiation

SFME cells cultured in the absence of fibronectin formed spheres and served as non-differentiated controls. SFME cells were seeded on fibronectin-coated cultureware and allowed to grow for 18 h prior to differentiation induction with TGF-β or FCS. SFME cells were differentiation induced using above supplemented ATCC DMEM:F12 Medium containing TGF-β (10 ng/ml) for 8 h, 12 h and 24 h or DMEM:F12 supplemented with FCS for 8 h, 12 h and 24 h. Cells were harvested and cell pellet was frozen before proceeding to DNA extraction as described previously (Fischer et al., 2014 genomics data) [1].

Array-CGH data analysis

Array data were deposited in GEO under accession number GSE35523. Signal intensity data were extracted from scanned images of each array using Roche NimbleGen NimbleScan v2.6 software. After spatial correction, the Cy3 and Cy5 signal intensities were normalized using qspline normalization. Following normalization a 10 × window–averaging step is applied. For amplification and deletion detection we used the dynamic segMNT algorithm that identifies segments by minimizing the squared error relative to the segment means. To detect representative alterations and to minimize the identification of random alterations, we extracted segments with segment means greater than 0.1 threshold and a size greater than 250 kb. Deletions detected in undifferentiated, TGF-ß differentiation induced and FCS differentiation induced cells were summarized in Table 1.
Table 1

Overview of deleted chromosome regions.

Start and end points of deleted chromosome regions are according to NCBI37/mm9. Size is displayed in kb.

Sphere
24 h TGF-ß
12 h FCS
StartEndlog2SizeStartEndlog2SizeStartEndlog2Size
chr130199999259999− 0.113086240
chr11041999912539999− 0.168812120
chr12145999933339999− 0.1245311,880
chr14705999951179999− 0.209534120
chr16785999968979999− 0.208771120
chr195859999106179999− 0.1155610,320
chr1108899999120099999− 0.1313611,200
chr1110459999112459999− 0.154372000
chr1125099999125779999− 0.1133680
chr1141739999151499999− 0.128079760
chr1157499999166019999− 0.116728520chr1157699999164339999− 0.112516640
chr1179699999180099999− 0.17032400
chr23929999949379999− 0.1175910,080
chr28089999983139999− 0.163132240
chr28561999989979999− 0.11514360chr28553999989979999− 0.198324440
chr294819999101179999− 0.101446360chr294419999101179999− 0.148936760
chr2140259999140739999− 0.10916480
chr2174619999176979999− 0.108192360chr2174539999176979999− 0.104092440
chr331799997819999− 0.164594640
chr31077999915219999− 0.102174440chr31069999914179999− 0.210133480
chr31525999915819999− 0.25966560chr31533999918379999− 0.187843040chr31545999915779999− 0.2969320
chr32321999926019999− 0.124032800
chr34165999948699999− 0.203947040
chr34741999948019999− 0.20803600chr34873999950819999− 0.103072080
chr36665999967219999− 0.14445560
chr36985999971299999− 0.141440
chr37133999973539999− 0.15022200chr37133999972859999− 0.241881520
chr37289999975019999− 0.129642120
chr37617999978579999− 0.103632400
chr38005999981099999− 0.142371040chr38065999981059999− 0.20763400
chr39369999994059999− 0.18368360chr39369999994059999− 0.16031360
chr3110219999115099999− 0.169274880
chr3116859999120779999− 0.11093920
chr3123499999125779999− 0.26682280chr3123339999125779999− 0.359562440chr3123059999127819999− 0.169164760
chr3125819999127739999− 0.161441920chr3125819999128939999− 0.162943120
chr3131419999132379999− 0.13963960
chr3140139999140899999− 0.18969760
chr3149859999151299999− 0.183561440
chr3154499999159578619− 0.106215079
chr41237999932099999− 0.1378519,720
chr43577999939859999− 0.201664080
chr46457999975579999− 0.1154511,000
chr47565999980779999− 0.20695120chr47561999980779999− 0.29175160chr47557999978339999− 0.196772760
chr48925999994339999− 0.130135080
chr559399997859999− 0.157291920
chr51185999919539999− 0.128217680
chr55485999961859999− 0.201367000
chr56769999972699999− 0.138545000
chr57829999991059999− 0.1083912,760chr58145999981739999− 0.14919280
chr5146259999146579999− 0.10129320
chr64149999947339999− 0.106865840chr64153999947099999− 0.162565560
chr65573999966419999− 0.1069910,680
chr67337999981459999− 0.114138080
chr6103779999112019999− 0.10658240
chr6138299999140059999− 0.143341760chr6138379999140059999− 0.224731680
chr75689999970659999− 0.1069913,760
chr77553999979379999− 0.118913840
chr791779999103339999− 0.1001811,560
chr71069999912139999− 0.248881440
chr7110659999111699999− 0.238091040chr7110619999111379999− 0.20134760
chr845799999659999− 0.117525080
chr899539999106019999− 0.108096480
chr82997999934539999− 0.133384560
chr84945999955619999− 0.160846160
chr898739999106419999− 0.171827680
chr931399997299999− 0.105074160
chr91041999912939999− 0.153822520
chr91673999920259999− 0.108133520
chr93321999934019999− 0.11795800
chr93565999935939999− 0.21324280chr93565999936299999− 0.16454640chr93565999936059999− 0.16676400
chr93769999938899999− 0.100231200chr93741999939979999− 0.101492560
chr97169999972019999− 0.1087320
chr9115059999115619999− 0.10853560
chr101505999916899999− 0.19191840
chr103557999935939999− 0.17695360chr102673999938059999− 0.1192811,320
chr104589999951019999− 0.126175120chr104589999949499999− 0.209343600chr104773999949099999− 0.135821360
chr106305999965899999− 0.112662840
chr107109999974299999− 0.101063200
chr10100819999105099999− 0.165474280chr10100819999105099999− 0.221754280chr10101059999104739999− 0.111453680
chr10111619999114339999− 0.195672720
chr10122579999126139999− 0.116433560
chr10128539999129975647− 0.104641436chr10128539999129975647− 0.140841436
chr11897999918619999− 0.111649640chr111757999918619999− 0.106571040
chr113601999942459999− 0.113136440chr113645999942459999− 0.191526000
chr119049999993299999− 0.144772800
chr128993999999619999− 0.125129680
chr12114979999116219999− 0.106971240
chr137653999990659999− 0.1223414,120
chr13115939999120282113− 0.120494342
chr144981999953379999− 0.129333560chr145049999952099999− 0.121371600
chr145237999953419999− 0.102991040
chr147685999978259999− 0.106531400chr1476939999125175837− 0.1522748,236
chr148861999995699999− 0.177327080chr148033999998619999− 0.3100218,280
chr1498659999106899999− 0.142248240
chr14106939999118059999− 0.2660811,120
chr14118099999125175837− 0.135457076
chr15941999910299999− 0.13815880
chr151345999923819999− 0.137710,360chr151333999924459999− 0.2031711,120
6360chr151349999914979999− 0.108071480
chr154613999947259999− 0.151271120chr154465999951019999− 0.17027chr151969999922619999− 0.102222920
chr154741999951059999− 0.128083640
chr158945999990219999− 0.12766760
chr165905999989699999− 0.1362230,640
chr171749999922579999− 0.110225080chr171829999920899999− 0.27722600
chr173725999942659999− 0.178955400
chr175089999956019999− 0.110155120
chr175753999962859999− 0.145895320
chr177613999978259999− 0.134942120chr177613999978299999− 0.175572160
chr178149999983219999− 0.103411720
chr178949999995255954− 0.106695756chr178925999995255954− 0.153035996
chr181693999919899999− 0.119722960chr181697999919779999− 0.18132800chr1878999998339999− 0.13658440
chr182613999931459999− 0.119685320chr182621999931379999− 0.211265160
chr185105999952299999− 0.146491240chr185073999952659999− 0.190771920chr185165999952099999− 0.12795440
chr187065999973179999− 0.13042520
chr187597999976259999− 0.16726280chr187577999976499999− 0.11312720
chr188565999990459999− 0.11784800chr188529999990765552− 0.138015466
chr194777999952739999− 0.125614960
We used this low threshold of 0.1 for amplification and deletion detection because we were using a mixture of cells. Fluorescence in situ hybridization experiments at a single cell level had shown that gene amplifications were present at various percentages of the cells and in various copy numbers per single cell [2]. For further confirmation of the usefulness of a low threshold we did TaqMan copy number assay for two amplified genes namely GFAP and FZR1. GFAP revealed a 0.347 log2 ratio and FZR1 a 0.2 log2 ratio.

qPCR analysis

TaqMan Copy Number Assays for genes GFAP and FZR1 were performed following manufacturer's instructions. We used the TERT TaqMan Copy Number reference assay for relative quantitation of copy number of target genes. Mouse genomic DNA (Clontech) was used as control standard for normal diploid copy number. TaqMan assays were run in two independent experiments, each in four technical replicates and results were analyzed using StepOne™ Software v2.0 and copy numbers were analyzed using CopyCaller™ software. Mean results of four technical replicates were summarized in Fig. 1a (GFAP) and b (FZR1). The copy number calculated by Software Copy Caller™ revealed an increased copy number 3-fold of GFAP for SFME cell differentiation induced by TGFß for 8 h, 12 h and 24 h. In SFME cell differentiation induced by FCS for 8 h, 12 h and 24 h, the copy number was 2.5, 3 and 2.5-fold respectively. The software also identified an increased copy number of 2.5-fold for FZR1 for SFME cell differentiation induced by TGFß for 8 h, 12 h and 24 h. Likewise we found an increased copy number of 2.5-fold for SFME cell differentiation induced by FCS for 24 h. These results confirmed our previous array-CGH analysis and FISH experiments. Interestingly the higher log2 ratio values for GFAP in array-CGH experiments corresponded to an elevated copy number value in TaqMan qPCR experiments.
Fig. 1

Amplification analysis using q-PCR.

Amplification of GFAP and FZR1 was analyzed by qPCR using the TaqMan copy number assays. SFME cells grown as spheres served as undifferentiated controls. SFME cells were investigated at three different time points with TGF-ß and FCS differentiation induction. Mouse genomic DNA served as standard for normal diploid copy number. The average copy number was 3 of GFAP in SFME cell differentiation induced by TGF-ß for 8 h, 12 h and 24 h. In SFME cell differentiation induced by FCS for 8 h, 12 h and 24 h, the average copy number was 2.5, 3 and 2.5 respectively. The average copy number was 2.5 for FZR1 in SFME cell differentiation induced by TGF-ß for 8 h, 12 h and 24 h, induced by FCS for 24 h. There was no copy number gain for FZR1 detectable in SFME cell differentiation induced by FCS for 8 h and 12 h.

Discussion

Here we report detailed information on threshold choice for detection of gene amplification using NimbleGen 730K mouse whole genome array and correlation between log2 ratio values and copy number values from TaqMan qPCR experiments. Here and in our previous report we detected a complex pattern of amplifications and deletions. Both amplifications and deletions were only detectable after a low threshold setting. Threshold settings of 0.8 used in many studies were very likely to miss alterations that were present in a subpopulation of the investigated cells. Our confirmation using qPCR strongly argues for a low threshold setting. This dataset is an additional step towards uncovering copy number changes upon differentiation in mammalian stem cells.
Specifications
Organism/cell line/tissueMus musculus
Sexn.d.
Sequencer or array typeNimbleGen 720K mouse whole genome tiling arrays.
Data formatRaw data: PAIR file, analyzed data: txt file
Experimental factorsSFME cells vs normal mouse genomic DNA, SFME cells grown as spheres and after differentiation induction using TGF-ß or FCS
Experimental featuresSFME cells were grown as spheres for undifferentiated state. Differentiation was induced by withdrawal of EGF and addition of TGF-ß or FCS. Array-CGH experiments were done with undifferentiated cells, 24 h-TGF-ß differentiation induced cells and 12 h-FCS differentiation induced cells.
Consentn/a
Sample source locationSFME cells (CRL-9392™) from ATCC
  2 in total

1.  Genome-wide copy number profiling to detect gene amplifications in neural progenitor cells.

Authors:  U Fischer; A Keller; C Backes; E Meese
Journal:  Genom Data       Date:  2014-06-28

2.  Gene amplification during differentiation of mammalian neural stem cells in vitro and in vivo.

Authors:  Ulrike Fischer; Christina Backes; Abdulrahman Raslan; Andreas Keller; Carola Meier; Eckart Meese
Journal:  Oncotarget       Date:  2015-03-30
  2 in total
  1 in total

1.  Specific amplifications and copy number decreases during human neural stem cells differentiation towards astrocytes, neurons and oligodendrocytes.

Authors:  Ulrike Fischer; Ella Kim; Andreas Keller; Eckart Meese
Journal:  Oncotarget       Date:  2017-04-18
  1 in total

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