Recently, we identified a population of Oct4+Sca-1+Lin-CD45- very small embryonic-like stem-cells (VSELs) in adult tissues. Open chromatin structure of pluripotency genes and genomic imprinting-related epigenetic mechanisms maintain pluripotency and quiescence of VSELs, respectively. However, global transcriptome signature of this rare stem-cell population remains elusive. Here, we demonstrate by genomewide gene-expression analysis with a small number of highly purified murine bone-marrow (BM)-derived VSELs, that Oct4+ VSELs i) express a similar, yet nonidentical, transcriptome as embryonic stem-cells (ESCs), ii) up-regulate cell-cycle checkpoint genes, iii) down-regulate genes involved in protein turnover and mitogenic pathways, and iv) highly express Ezh2, a polycomb group protein.
Global gene expression analysis of very small embryonic-like stem cells reveals that the Ezh2-dependent bivalent domain mechanism contributes to their pluripotent state.
Age, Specimen part, Cell line
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Sirt1 Regulates DNA Methylation and Differentiation Potential of Embryonic Stem Cells by Antagonizing Dnmt3l.
No sample metadata fields
View SamplesDespite education and aggressive treatment, breast cancer (BC) remains a clinical problem. BC cells (BCCs) can migrate early to metastatic sites where they may exist in cellular dormancy for decades. Presently, there are no consensus markers for cancer stem cells (CSCs) that are involved in tumor initiation and progression, and drug resistance. The current designation of CSCs might comprise similar tumor initiating cells, but at different developmental phase. In order to understand these differences, we developed a working hierarchy of BCCs. We initiated the studies in which three BCC subsets were selected based on the relative expressions of the stem cell-linked genes, Octamer4A (Oct4A). The sorted BCCs were subjected to array analyses using Affymetrix gene chip. Hierarchical clustering indicated distinct gene expression among the three subsets. Differential gene expressions of membrane proteins validated three novel genes, TMEM-98, GPR64 and FAT4. These three genes, in combination of known markers for CSCs, CD44, CD24, aldehyde dehydrogenase 1 (ALDH1) and Oct4A, were used to stratify BCCs led to a working hierarchy of BCCs. The validity of the hierarchical BCCs was applied to blood samples from patients, during relapse, and before and after treatment. These studies resulted in the patients grouped with distinct BCCs in the circulation. The relevance of the latter findings are discussed with regards to prediction of treatment response and time of BC relapse. The findings require a larger cohort of patients in a prospective multi-center study. The stratification could be important to understand treatment response, strategies for alternative approaches, and an understanding of the interaction between particular BCC subsets and the tissue microenvironment.
Evaluation of a developmental hierarchy for breast cancer cells to assess risk-based patient selection for targeted treatment.
Specimen part, Cell line
View SamplesStem-cells and transformed cancer cells specifically express a polycomb repressive complex subtype, PRC4 which characteristically contains Sirt1 (Sirtuin-1), a NAD+ dependent class III histone deacetylase (HDAC) and Eed2 isoform as specific members. Analyzing the transcriptiome and methylome analysis of Sirt1 deficient murine ESCs (Sirt1-/- ESC), we demonstrate that these cells repressed specifically on some genomic imprinted and germ-line related genes.
Sirt1 Regulates DNA Methylation and Differentiation Potential of Embryonic Stem Cells by Antagonizing Dnmt3l.
No sample metadata fields
View SamplesAbstract Background. The cellular effects of androgen are transduced through the androgen receptor, which controls the expression of genes that regulate biosynthetic processes, cell growth, and metabolism. Androgen signaling also impacts DNA damage signaling through mechanisms involving gene expression and transcription-associated DNA damaging events. Defining the contributions of androgen signaling to DNA repair is important for understanding androgen receptor function, and it also has important translational implications. Methods. We generated RNA-seq data from multiple prostate cancer lines and used bioinformatic analyses to characterize androgen-regulated gene expression. We compared the results from cell lines with gene expression data from prostate cancer xenografts, and patient samples, to query how androgen signaling and prostate cancer progression influences the expression of DNA repair genes. We performed whole genome sequencing to help characterize the status of the DNA repair machinery in widely used prostate cancer lines. Finally, we tested a DNA repair enzyme inhibitor for effects on androgen-dependent transcription. Results. Our data indicates that androgen signaling regulates a subset of DNA repair genes that are largely specific to the respective model system and disease state. We identified deleterious mutations in the DNA repair genes RAD50 and CHEK2. We found that inhibition of the DNA repair enzyme MRE11 with the small molecule mirin inhibits androgen-dependent transcription and growth of prostate cancer cells. Conclusions. Our data supports the view that crosstalk between androgen signaling and DNA repair occurs at multiple levels, and that DNA repair enzymes in addition to PARPs, could be actionable targets in prostate cancer. Overall design: RNA was extracted from PC3-AR, VCaP, and LNCaP cells under untreated and androgen (2 nM, R1881) treated conditions. A total of 21 samples were sequenced with 3 replicates for each condition.
Genomic analysis of DNA repair genes and androgen signaling in prostate cancer.
Cell line, Subject
View SamplesUnder conditions of hormonal adjuvant treatment the estrogen receptor apoprotein supports breast cancer cell cycling through the retinoic acid receptor 1 apoprotein.
During hormone depletion or tamoxifen treatment of breast cancer cells the estrogen receptor apoprotein supports cell cycling through the retinoic acid receptor α1 apoprotein.
Cell line
View SamplesWe were interesed in defining the gene signautre of volar skin.
To Control Site-Specific Skin Gene Expression, Autocrine Mimics Paracrine Canonical Wnt Signaling and Is Activated Ectopically in Skin Disease.
No sample metadata fields
View SamplesWe were interested in defining the gene signature of volar skin.
To Control Site-Specific Skin Gene Expression, Autocrine Mimics Paracrine Canonical Wnt Signaling and Is Activated Ectopically in Skin Disease.
Specimen part
View SamplesWe were interested in defining the gene signature of volar skin.
To Control Site-Specific Skin Gene Expression, Autocrine Mimics Paracrine Canonical Wnt Signaling and Is Activated Ectopically in Skin Disease.
No sample metadata fields
View SamplesWe were interested in defining the gene signature of volar skin.
To Control Site-Specific Skin Gene Expression, Autocrine Mimics Paracrine Canonical Wnt Signaling and Is Activated Ectopically in Skin Disease.
Specimen part
View Samples