This SuperSeries is composed of the SubSeries listed below.
Genetic Variation, Not Cell Type of Origin, Underlies the Majority of Identifiable Regulatory Differences in iPSCs.
Sex, Age
View SamplesAnalysis of contribution of cell type of origin and individual to gene expression differences in iPSCs. The hypothesis tested in the present study was that cell type of origin affects iPSC gene expression. Results show that individual has a much stronger effect than cell type of origin on differences between iPSCs derived from multiple individuals.
Genetic Variation, Not Cell Type of Origin, Underlies the Majority of Identifiable Regulatory Differences in iPSCs.
Sex, Age
View SamplesRelapse, associated with therapy resistance, is a major clinical problem in acute myeloid leukemia (AML), yet little is known about the underlying molecular mechanisms. Using genome wide gene expression profiling on 11 paired samples from diagnosis and relapse, we show that the expression of a substantial number of genes was altered in a highly consistent manner between these disease stages. Furthermore, the relapse associated gene expression profile was significantly enriched for leukemia stem cell (LSC) genes, indicating that recurring AML is characterized by increased stemness, and supporting the concept that it is due to the outgrowth of chemotherapy resistant LSCs.
A gene expression profile associated with relapse of cytogenetically normal acute myeloid leukemia is enriched for leukemia stem cell genes.
Sex, Age
View SamplesBackground
Similar inflammatory DC maturation signatures induced by TNF or Trypanosoma brucei antigens instruct default Th2-cell responses.
Specimen part, Treatment
View SamplesClone (Whirly) of human BJhTERT (human foreskin cell line) cells exposed to PC3 mRFP cells
Inhibition of tumor cell proliferation and motility by fibroblasts is both contact and soluble factor dependent.
Cell line, Treatment
View SamplesDifferent fibroblast cells (eight in total) with different inhibitory capacity were analyzed and compared for their gene expression profile by whole genome microarray.
Confrontation of fibroblasts with cancer cells in vitro: gene network analysis of transcriptome changes and differential capacity to inhibit tumor growth.
Cell line, Treatment
View SamplesUOK257 cell line was derived from a BHD patient. It harbors a germline mutation in FLCN (c.1285dupC) and LOH. UOK257-2 cells were generated from UOK257 cells by introducing wildtype FLCN using retrovirus. FLCN inactivation induces TFE3 transcriptional activity by increasing its nuclear localization. Thus expression microarray was used to identify the genes regulated by FLCN and TFE3.
The UOK 257 cell line: a novel model for studies of the human Birt-Hogg-Dubé gene pathway.
Cell line
View SamplesStem cells reside in specific niches providing stemness-maintaining environments. Thus, the regulated migration from these niches is associated with differentiation onset. However, mechanisms retaining stem cells in their niche remain poorly understood. Here, we show that the epigenetic regulator lysine-specific demethylase 1 (Lsd1) organises the trophoblast niche of the early mouse embryo by coordinating migration and invasion of trophoblast stem cells (TSCs). Lsd1 deficiency leads to the depletion of the stem cell pool resulting from precocious migration of TSCs.
Lysine-specific demethylase 1 regulates differentiation onset and migration of trophoblast stem cells.
Specimen part, Time
View SamplesBackground: The main bottleneck for genomic studies of tumors is the limited availability of fresh frozen (FF) samples collected from patients, coupled with comprehensive long-term clinical follow-up. This shortage could be alleviated by using existing large archives of routinely obtained and stored Formalin-Fixed Paraffin-Embedded (FFPE) tissues. However, since these samples are partially degraded, their RNA sequencing is technically challenging. Results: In an effort to establish a reliable and practical procedure, we compared three protocols for RNA sequencing using pairs of FF and FFPE samples, both taken from the same breast tumor. In contrast to previous studies, we compared the expression profiles obtained from the two matched sample types, using the same protocol for both. Three protocols were tested on low initial amounts of RNA, as little as 100 ng, to represent the possibly limited availability of clinical samples. For two of the three protocols tested, poly(A) selection (mRNA-seq) and ribosomal-depletion, the total gene expression profiles of matched FF and FFPE pairs were highly correlated. For both protocols, differential gene expression between two FFPE samples was in agreement with their matched FF samples. Notably, although expression levels of FFPE samples by mRNA-seq were mainly represented by the 3'-end of the transcript, they yielded very similar results to those obtained by ribosomal-depletion protocol, which produces uniform coverage across the transcript. Further, focusing on clinically relevant genes, we showed that the high correlation between expression levels persists at higher resolutions. Conclusions: Using the poly(A) protocol for FFPE exhibited, unexpectedly, similar efficiency to the ribosomal-depletion protocol, with the latter requiring much higher (2-3 fold) sequencing depth to compensate for the relative low fraction of reads mapped to the transcriptome. The results indicate that standard poly(A)-based RNA sequencing of archived FFPE samples is a reliable and cost-effective alternative for measuring mRNA-seq on FF samples. Expression profiling of FFPE samples by mRNA-seq can facilitate much needed extensive retrospective clinical genomic studies. Overall design: We perform an unbiased evaluation of RNA-seq of archived tumor tissues by comparing the same library preparation methods for both FF and FFPE matched tumor samples and for small amounts of total RNA starting material. We have 3 matched FF/FFPE tumor samples with a moderate archival time of about 4-5 years (T1=T3), and additional 3 FFPE tumor samples archived for more than 10 years (T4-T6). all samples were tested with two protocols: illumina Truseq RNA after poly(A) selection (mRNA-seq); and Truseq after ribosomal depletion (RiboZero). Several initial amounts of starting material was tested for eacg protocol.
mRNA-seq whole transcriptome profiling of fresh frozen versus archived fixed tissues.
Specimen part, Disease, Subject
View SamplesInduced pluripotent stem cells (iPSCs) are an essential tool for studying cellular differentiation and cell types that are otherwise difficult to access. Here we investigate the use of iPSCs and iPSC-derived cells to study the impact of genetic variation across different cell types and as models for the genetics of complex disease. We established a panel of iPSCs from 58 well-studied Yoruba lymphoblastoid cell lines (LCLs); 14 of these lines were further differentiated into cardiomyocytes. We characterized regulatory variation across individuals and cell types by measuring RNA, chromatin accessibility and DNA methylation. Regulatory variation between individuals is lower in iPSCs than in the differentiated cell types, consistent with the intuition that developmental processes are generally canalized. While most cell-type- specific regulatory effects lie in chromatin that is open only in the affected cell-types, we find that 20% of cell-type specific effects are in shared open chromatin. Finally, we developed deep neural network models to predict open chromatin regions in these cell types from DNA sequence alone and were able to use the sequences of segregating haplotypes to predict the effects of common SNPs on tissue-specific chromatin accessibility. Our results provide a framework for using iPSC technology to study regulatory variation in cell types that are otherwise inaccessible. Keywords: Expression profiling by high throughput sequencing Overall design: Immortalized lymphoblastoid cell lines from 58 African individuals were reprogrammed into induced pluripotent stem cells
Impact of regulatory variation across human iPSCs and differentiated cells.
Specimen part, Subject
View Samples