Ultra-deep 3D genome structure mapping with Region Capture Micro-C
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ABSTRACT:
ORGANISM(S): Mus musculus Homo sapiens
PROVIDER: GSE207225 | GEO | 2022/07/12
REPOSITORIES: GEO
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2011-10-26 | E-GEOD-30551 | biostudies-arrayexpress
Project description:Ultra-deep 3D genome structure mapping with Region Capture Micro-C
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2022-04-25 | GSE173427 | GEO
Project description:Klf1 (formerly known as Eklf) regulates the development of erythroid cells from bi-potent progenitor cells via the transcriptional activation of a diverse set of genes. Mice lacking Klf1 die in utero prior to E15 from severe anemia due to the inadequate expression of genes controlling hemoglobin production, cell membrane and cytoskeletal integrity, and the cell cycle and proliferation. We have recently described the full repertoire of Klf1 binding sites in vivo by performing Klf1 ChIP-seq in primary erythroid tissue (E14.5 fetal liver). Here we describe the Klf1-dependent erythroid transcriptome by comparing mRNA-seq from Klf1+/+ and Klf1-/- erythroid tissue. This has revealed novel target genes not previously obtainable by traditional microarray technology and provided novel insights into the function of Klf1 as a transcriptional activator such as interactions with Gata1, Scl/Tal1 and p300. We also describe a set of erythroid specific promoters not previously identified that drive high level expression of otherwise ubiquitously expressed genes in erythroid cells. Additionally, our study has identified for the first time two novel lnc-RNAs that are dynamically expressed during erythroid differentiation as well as a role for Klf1 in directing apoptotic gene expression to drive the terminal stages of erythroid maturation. Examination of mRNA expression in 3 Klf1-/- and 3 Klf1+/+ fetal livers This submission represents mRNA-Seq component of study.
2012-04-01 | E-GEOD-33979 | biostudies-arrayexpress
Project description:To screen for novel toxicological endpoints of nano-particles, we conducted an in vitro expression profiling study using human lung epithelial cells (A549). To identify effects that are specific to size or chemical origin, we compared gene expression of A549 cells treated with nano-sized and micro-sized particulates of two chemical origins (carbon and silica) to the control (untreated) cells.
2009-07-10 | E-TABM-679 | biostudies-arrayexpress
Project description:The Krüppel-like factors, KLF1 and KLF2, positively regulate embryonic β-globin expression, and have additional overlapping roles in embryonic (primitive) erythropoiesis. KLF1-/-KLF2-/- double knockout mice are anemic at embryonic day 10.5 (E10.5) and die by E11.5, in contrast to single knockouts. To investigate the combined roles of KLF1 and KLF2 in primitive erythropoiesis, expression profiling of E9.5 erythroid cells was performed. A limited number of genes had a significantly decreasing trend of expression in wild-type, KLF1-/- and KLF1-/-KLF2-/-. Among these, c-myc emerged as a central node in the most significant gene network. c-myc expression is synergistically regulated by KLF1 and KLF2, and both factors bind the c-myc promoters. To characterize the role of c-myc in primitive erythropoiesis, ablation was performed specifically in mouse embryonic proerythroblast cells. After E9.5, these embryos exhibit an arrest in the normal expansion of circulating red cells and develop anemia analogous to KLF1-/-KLF2-/-. In the absence of c-myc, circulating erythroid cells do not show the normal increase in α- and β-like globin expression, but interestingly, have accelerated erythroid maturation, between E9.5 and E11.5. This study reveals a novel regulatory network by which KLF1 and KLF2 regulate c-myc, to control the primitive erythropoietic program. Timed-pregnant KLF1+/-, KLF1+/- KLF2+/- females were anesthetized and sacrificed. E9.5 yolk sacs were dissected from the embryo, cryoprotected in 20% sucrose in PBS and frozen in OCT media. A small portion of the embryo tail was used for PCR genotyping. Eight micron frozen yolk sac sections were obtained and laser capture microdissection (LCM) was used to isolate primitive erythroid precursors. For each biological replicate, 2 to 4 yolk sacs from 2 different litters were used. Total RNA was isolated from 8 different wild-type, 3 KLF1-/-, 3 KLF1-/- KLF2-/- erythroid samples and hybridized to Affymetrix 430 A 2.0 microarrays.
2012-03-12 | E-GEOD-36427 | biostudies-arrayexpress
Project description:Identification of cell-type specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. Using chromatin immunoprecipitation followed by massively parallel sequencing, genome-wide maps of candidate enhancers were constructed for p300 and four transcription factors, GATA1, NF-E2, KLF1, and SCL, using primary human erythroid cells. These data were combined with gene expression analyses and candidate enhancers identified. Consistent with their predicted function as candidate enhancers, there was statistically significant enrichment of p300 and combinations of co-localizing erythroid transcription factors within 1-50 kb of the TSS of genes highly expressed in erythroid cells. Candidate enhancers were also enriched near genes with known erythroid cell function or erythroid cell phenotypes. Candidate enhancers exhibited only moderate conservation with mouse and minimal conservation with nonplacental vertebrates. Candidate enhancers were mapped to a data set of erythroid-associated, biologically relevant, SNPs from the GWAS catalog of the NHGRI. Fourteen candidate enhancers, representing 10 genetic loci, mapped to sites associated with biologically relevant erythroid traits. Fragments from these loci directed statistically significant expression in reporter gene assays. Identification of enhancers in human erythroid cells will allow a better understanding of erythroid cell development, differentiation, structure, and function, and provide insights into inherited and acquired hematologic disease. CD34+-selected stem and progenitor cells were expanded for three days in the absence of EPO. The cells were further cultured in the presence of EPO, and formaldehyde crosslinked chromatin was isolated after cells differentiated into R3/R4 nucleated erythroid cells. Chromatin Immunoprecipitation followed by sequencing (chIP-seq) was performed using antibodies against GATA1, KLF1, NFE2, TAL1, p300, H3K4me2 and H3K4me3, along with a total input control. Raw data (fastq, SRA) is missing for the TAL1 chIP-seq dataset
2013-01-28 | E-GEOD-43625 | biostudies-arrayexpress
Project description:KLF1 (EKLF) regulates a diverse suite of genes to direct erythroid cell differentiation from bi-potent progenitors. To determine the local cis-regulatory contexts and transcription factor networks in which KLF1 operates, we performed KLF1 ChIP-seq in the mouse. We found at least 945 sites in the genome of E14.5 fetal liver erythroid cells which are occupied by endogenous KLF1. Many of these recovered sites reside in erythroid gene promoters such as β-globin, but the majority are distant to any known gene. Our data suggests KLF1 directly regulates most aspects of terminal erythroid differentiation including production of α and β-globin protein chains, heme biosynthesis, co-ordination of proliferation and anti-apoptotic pathways, and construction of the red cell membrane and cytoskeleton by functioning primarily as a transcriptional activator. Additionally, we suggest new mechanisms for KLF1 co-operation with other transcription factors, in particular the erythroid transcription factor GATA1, to maintain homeostasis in the erythroid compartment. Examination of KLF1 occupancy in primary erythroid cells. KLF1-ChIP and input samples were run on AB SOLiD Systems 2.0 and 3.0. The genomic alignment files (*sorted.txt) and peak file (*bed) contain the combined System 2.0 and 3.0 data.
2010-04-08 | E-GEOD-20478 | biostudies-arrayexpress
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