Computational identification of preneoplastic cells displaying high stemness and risk of cancer progression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE199654 | GEO | 2022/04/01
REPOSITORIES: GEO
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Project description:While changes in chromatin are integral to transcriptional reprogramming during cellular differentiation, it is currently unclear how chromatin modifications are targeted to specific loci. We developed a computational model on the premise that transcription factors (TFs) direct dynamic chromatin changes during cell fate decisions. When applied to a neurogenesis paradigm, this approach predicted the TF REST as a determinant of gain of Polycomb-mediated H3K27me3 in neuronal progenitor cells. We prove this prediction experimentally by showing that the absence of REST causes loss of H3K27me3 at target promoters in trans at the same cellular state. Moreover, promoter fragments containing a REST binding site are sufficient to recruit H3K27me3 in cis, while deletion of their REST site results in loss of H3K27me3. These findings illustrate that computational modeling can systematically identify TFs that regulate chromatin dynamics genome-wide. Local determination of Polycomb activity by REST exemplifies such TF based regulation of chromatin. Expression profiling of REST knock-out (RESTko) versus REST wildtype (RESTwt) or REST heterozygous knock-out (RESThet) cells at three stages of in vitro neuronal differentiation. RESTko and RESTwt/RESThet embryonic stem (ES) cells were differentiated to terminal neurons (TN) via a defined neuronal progenitor (NP) state. Three biological replicates (suffixes a to c).
2012-09-04 | E-GEOD-27114 | biostudies-arrayexpress
Project description:Transcription factors (TFs) in concert with chromatin pathways stably reset transcriptional programs during differentiation. Yet we know little how local sites of chromatin reprogramming are specified and how the estimated 3000 TF encoded in mammalian genomes contribute to chromatin dynamics. To identify candidate TFs we developed an integrated computational approach (Epi-MARA) that models chromatin dynamics in terms of predicted transcription factor binding sites and show that it correctly predicts key TFs involved in epigenome reorganization. When applied to a time course of genome-wide H3 lysine 27 trimethylation (H3K27me3), a chromatin mark set by the Polycomb system, during neuronal differentiation of murine stem cells Epi-MARA predicted that the repressive transcription factor REST contributes to a gain of H3K27me3 at a subset of promoters during the transition from the stem to the progenitor state. To test this prediction we identified, genome-wide, the actual binding sites of REST and H3K27me3 during the differentiation in cells that are either wildtype or in which REST had been deleted. REST indeed localizes to a subset of sites that gain H3K27me3 in progenitors. Importantly, absence of REST in trans leads to a loss of H3K27me3 predominantly in the neuronal progenitor state and specifically at those regions where REST was bound. This function further requires REST binding sites in cis as their mutation leads to substantial loss of H3K27me3. Taken together we provide a novel approach to identify epigenome and TF crosstalk during cellular reprogramming and prove experimentally the prediction that REST acts as an important recruiter of Polycomb repression during early steps of neurogenesis. Dataset comprises of 15 ChIP-seq samples using chromatin from embryonic stem (ES) and neuronal progentor (NP) of wildtype and RESTko cells, which was immunoprecipitated, using antibodies against REST, H3K27me3, or Suz12
2012-09-04 | E-GEOD-27148 | biostudies-arrayexpress
Project description:Computational identification of preneoplastic cells displaying high stemness and risk of cancer progression
| PRJNA821067 | ENA
Project description:Combinatorial transcription factor (TF) interactions control cellular phenotypes and therefore underpin stem cell formation, maintenance and differentiation. Here we report the genome-wide binding patterns and combinatorial interactions for 10 key regulators of blood stem/progenitor cells (Scl/Tal1, Lyl1, Lmo2, Gata2, Runx1, Meis1, Pu.1, Erg, Fli-1, Gfi1b) thus providing the most comprehensive TF dataset for any adult stem/progenitor cell type to date. Genome-wide computational analysis of complex binding patterns followed by functional validation revealed the following: First, a previously unrecognized combinatorial interaction between a heptad of TFs (Scl, Lyl1, Lmo2, Gata2, Runx1, Erg, Fli-1). Second, we implicate direct protein-protein interactions between four key regulators (Runx1, Gata2, Scl, Erg) in stabilising complex binding to DNA. Third, Runx1+/-::Gata2+/- compound heterozygous mice are not viable with severe haematopoietic defects at midgestation. Taken together, this study demonstrates the power of genome-wide analysis in generating novel functional insights into the transcriptional control of stem and progenitor cells. 10 Samples (9 Transcription Factors and 1 Histone Modification) and 1 Control (IgG). All from the same cell line, a haematopoietic progenitor cell line (HPC-7).
2010-10-07 | E-GEOD-22178 | biostudies-arrayexpress
Project description:Transcription factors (TFs) in concert with chromatin pathways stably reset transcriptional programs during differentiation. Yet we know little how local sites of chromatin reprogramming are specified and how the estimated 3000 TF encoded in mammalian genomes contribute to chromatin dynamics. To identify candidate TFs we developed an integrated computational approach (Epi-MARA) that models chromatin dynamics in terms of predicted transcription factor binding sites and show that it correctly predicts key TFs involved in epigenome reorganization. When applied to a time course of genome-wide H3 lysine 27 trimethylation (H3K27me3), a chromatin mark set by the Polycomb system, during neuronal differentiation of murine stem cells Epi-MARA predicted that the repressive transcription factor REST contributes to a gain of H3K27me3 at a subset of promoters during the transition from the stem to the progenitor state. To test this prediction we identified, genome-wide, the actual binding sites of REST and H3K27me3 during the differentiation in cells that are either wildtype or in which REST had been deleted. REST indeed localizes to a subset of sites that gain H3K27me3 in progenitors. Importantly, absence of REST in trans leads to a loss of H3K27me3 predominantly in the neuronal progenitor state and specifically at those regions where REST was bound. This function further requires REST binding sites in cis as their mutation leads to substantial loss of H3K27me3. Taken together we provide a novel approach to identify epigenome and TF crosstalk during cellular reprogramming and prove experimentally the prediction that REST acts as an important recruiter of Polycomb repression during early steps of neurogenesis.
2012-09-04 | GSE27148 | GEO
Project description:Although transcription factor(TF)s regulate differentiation-related processes, including dedifferentiation and direct conversion, functional interactions between TFs regulating these processes are not well understood. Here we show that TFs preventing dedifferentiation are able to induce direct conversion. Using a neural lineage cell line and a large number of TFs expressed in it, we found a subset of TFs whose overexpression strongly interfered with dedifferentiation triggered by a procedure to induce induced pluripotent stem cells (iPSC), through a maintenance mechanism of the cell-type-specific transcriptional profile. Strikingly, the maintenance activity of the interfering TF set was strong enough to induce the cell line-specific transcriptional profile when overexpressed in a heterologous cell type. In addition, TFs that interfered with dedifferentiation in hepatic lineage cells involved known TFs with induction activity for hepatic lineage cells. Our results suggest that dedifferentiation suppresses a cell-type-specific transcriptional profile, which is primarily maintained by a small subset of TFs capable of inducing direct conversion. We anticipate that this functional correlation might be applicable in various cell types, which may include cancer cells, and might facilitate identification of TFs with induction activity to understand differentiation and tumorigenesis Examination of binding of 3 transcription factors and histone modifications in Neural progenitor like cells.
2013-01-01 | E-GEOD-41252 | biostudies-arrayexpress
Project description:A network of transcription factors (TFs) determines cell identity, but identity can be altered by overexpressing a combination of TFs. In principle, this opens the possibility of achieving one of the goals of regenerative medicine generating the desired differentiated cells from pluripotent stem cells, such as embryonic stem (ES) cells and induced pluripotent stem (iPS) cells. However, choosing and verifying combinations of TFs for specific cell differentiation has been daunting due to a large number of possible combinations of ~2,000 TFs. Here we report an unbiased systematic approach identifying individual TFs that can direct efficient and rapid specific lineage differentiation. We start from a correlation matrix of global gene expression responses to the induction of single TFs and global gene expression profiles of a variety of tissues and organs. Based on the correlation matrix, we select TFs as examples and show that their overexpression differentiates ES cells into cells of specific organs, as predicted: Sfpi1 for blood cells, Hnf4a or Foxa1 for hepatocytes, and Ascl1 for neurons. Furthermore, we show that transfection of synthetic mRNAs of Sfpi1, Hnf4a, or Ascl1 generate correspondingly specific target cells. These results demonstrate both the wide-ranging utility of this approach to identify potent TFs for cell differentiation, and also the unanticipated capacity of single TFs to directly guide differentiation to specific lineage fates. Previously, we generated the global gene expression profiles obtained by overexpressing single TFs using the NIA mouse ES cell bank, which consists of 137 mouse ES cell lines carrying a doxycycline-regulatable TF. We then generated the correlation matrix by comparing TF-induced gene expression profiles and the expression profiles of a variety of cell types. TFs predicted by the correlation matrix for specific cell differentiation were selected and subjected to the detailed differentiation assays. ES cell lines were cultured in the GMEM with 1% FBS, 10% knockout serum (invitrogen), and LIF (Millipore). To induce differentiation, ES cell lines were cultured in the differentiation medium (DM) [(alpha minimal essential medium, aMEM) supplemented with 10% fetal calf serum and 5 × 10–5 M 2-mercaptoethanol] with or without doxycycline (1 g/ml). The following organ-specific cell culture media were also used: StemPro-34 Serum Free Media (invitrogen) for blood cells, Hepatocyte culture media kit (BD Biosciences) for hepatocytes, and NeuroCult differentiation kit (StemCell Technologies Inc) for neurons.
2014-03-14 | E-GEOD-43971 | biostudies-arrayexpress
Project description:Intra-tumor heterogeneity of tumor-initiating cell (TIC) activity drives colorectal cancer (CRC) progression and therapy resistance. Here, we used single-cell mRNA-sequencing (scRNA-seq) of patient-derived CRC models to decipher distinct cell subpopulations based on their transcriptional profiles. Cell type-specific expression modules of stem-like, transit amplifying-like, and differentiated CRC cells resemble differentiation states of normal intestinal epithelial cells. Strikingly, identified subpopulations differ in proliferative activity and metabolic state. In summary, we here show at single-cell resolution that transcriptional heterogeneity identifies functional states during TIC differentiation. Targeting transcriptional states associated to cancer cell differentiation might unravel vulnerabilities in human CRC.
2021-05-07 | PXD018230 | Pride
Project description:The germ cell lineage ensures the continuity of life through the generation of male and female gametes, which unite to form a totipotent zygote. We have established a culture system that recapitulates the mouse germ-cell specification pathway: Using cytokines, embryonic stem cells (ESCs)/induced pluripotent stem cells (iPSCs) are induced into epiblast-like cells (EpiLCs) and then into primordial germ cell-like cells (PGCLCs) with capacity both for spermatogenesis and oogenesis, creating an opportunity for understanding and regulating mammalian germ cell development in both sexes in vitro. Here we show that, without cytokines, simultaneous over-expression of three transcription factors (TFs), Blimp1 (also known as Prdm1), Prdm14 and Tfap2c (also known as AP2γ), directs EpiLCs, but not ESCs, swiftly and highly efficiently into a PGC state with endogenous transcription circuitry. The induction of the PGC state on EpiLCs minimally requires Prdm14 but not Blimp1 or Tfap2c. The TF-induced PGC state reconstitutes key transcriptome and epigenetic reprogramming in PGCs, but bypasses a mesodermal program that accompanies PGC specification in vivo and in vitro by cytokines including BMP4. Importantly, the TF-induced PGC-like cells robustly contribute to spermatogenesis and fertile offspring. Our findings provide not only a novel insight into the transcriptional logic that creates a germ cell state, but also a foundation for the TF-based reconstitution and regulation of mammalian gametogenesis. Aim of this analysis is characterization of transcription factor-induced primordial germ cells (TF-PGCLCs) compared with cytokine-induced primordial germ cells (Ck-PGCLCs) (Hayashi et al., 2011, Cell), epiblast-like cells (EpiLCs) (Hayashi et al., 2011, Cell), and embryonic stem cells (ESCs) and identification of genes differentially expressed among them. TF-PGCLCs induced by multiple combinations of TFs (Blimp1 (B), Prdm14 (P14), and Tfap2c (A) (BP14A), BP14, P14A, P14) on day 2 and 4 (for BP14A cells) of the induction were also compared. Parental clone without exogenous TFs cultured with doxycycline, are also included as a negative control. Ck-PGCLCs day 2 and day 4 samples, which are previously unreported, EpiLCs and ESCs used in this study were also included. Overexpression of exogenous three TFs in ESCs yields stella-ECFP (SC) positive cells, which were sorted and included in the analysis. cDNA samples, prepared from approximately 20,000 cells, were amplified with a quantitative global PCR method (Kurimoto et al., 2006, Nucleic Acids Research). Two biological duplicates for each cell type were analyzed. Samples from GSE30056 were also included and reanalysed (GSM1070855-GSM1070864).
2013-08-04 | E-GEOD-43775 | biostudies-arrayexpress
Project description:Tumour initiation begins with a single oncogenic mutation within a single cell, leading to hyperproliferation and clonal expansion. These mutant preneoplastic cells may undergo various fates such as: death, dormancy, benign growth or malignant growth. Whilst further genetic mutations have been linked to progression of preneoplastic cells, even genetically identical preneoplastic cells may undergo different fates. To better understand the phenotypic heterogeneity between genetically identical preneoplastic cells during tumour initiation we have performed single-cell RNA sequencing on preneoplastic cells derived from an inducible larval zebrafish model of skin cancer. Furthermore, inflammation has been identified as a potent driving force in oncogenesis. Macrophages have especially been shown to promote cancer cell growth and progression, whilst neutrophils have the potential to perform either pro- or anti-tumour functions. To study the first responses of myeloid cells following initial oncogenic transformation we also profiled sorted myeloid cells at the single cell level.
2024-02-09 | GSE232900 | GEO