Ontology highlight
ABSTRACT:
PROVIDER: PRJNA823882 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18652134_1.fastq.gz | Fastqsanger.gz | |||
| SRR18652134_2.fastq.gz | Fastqsanger.gz |
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Project description:Collombet2016 - Lymphoid and myeloid cell
specification and transdifferentiation
This model is described in the article:
Logical modeling of lymphoid
and myeloid cell specification and transdifferentiation
Samuel Collombet, Chris van Oevelen,
Jose Luis Sardina Ortega, Wassim Abou-Jaoudé, Bruno Di
Stefano, Morgane Thomas-Chollier, Thomas Graf, and Denis
Thieffry
Proceedings of the National Academy of
Sciences of the United States of America
Abstract:
Blood cells are derived from a common set of hematopoietic
stem cells, which differentiate into more specific progenitors
of the myeloid and lymphoid lineages, ultimately leading to
differentiated cells. This developmental process is controlled
by a complex regulatory network involving cytokines and their
receptors, transcription factors, and chromatin remodelers.
Using public data and data from our own molecular genetic
experiments (quantitative PCR, Western blot, EMSA) or
genome-wide assays (RNA-sequencing, ChIP-sequencing), we have
assembled a comprehensive regulatory network encompassing the
main transcription factors and signaling components involved in
myeloid and lymphoid development. Focusing on B-cell and
macrophage development, we defined a qualitative dynamical
model recapitulating cytokine-induced differentiation of common
progenitors, the effect of various reported gene knockdowns,
and the reprogramming of pre-B cells into macrophages induced
by the ectopic expression of specific transcription factors.
The resulting network model can be used as a template for the
integration of new hematopoietic differentiation and
transdifferentiation data to foster our understanding of
lymphoid/myeloid cell-fate decisions.
This model is hosted on
BioModels Database
and identified by:
MODEL1610240000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-06-08 | MODEL1610240000 | BioModels
Project description:To study recombination at the fine-scale, we used high-throughput sequencing of 300 to 1,000 crossovers within the RAC1 R gene hotspot. This revealed focused intragenic crossovers, overlapping exons encoding the TIR, NBS and LRR domains. To examine the role of recombination pathways, we repeated this experiment in recq4a recq4b, fancm and recq4a recq4b fancm mutants. Finally, in order to investigate how varying patterns of interhomolog divergence influence local patterns of crossover frequency, we repeated RAC1 pollen typing sequencing in different F1 hybrids.
2018-07-01 | E-MTAB-6333 | biostudies-arrayexpress
Project description:Targeting of DNMT3A hotspot mutations in Clonal Hematopoiesis and Acute Myeloid Leukemia
| PRJNA612341 | ENA
Project description:DNA methyltransferases DNMT3A- and DNMT3B-mediated de novo DNA methylation critically regulates epigenomic and transcriptomic patterning during development. The hotspot DNMT3A mutations at the site of Arg822 (R882) promote macro-oligomer formation, leading to aberrant DNA methylation that in turn contributes to pathogenesis of acute myeloid leukemia (AML). However, the molecular basis underlying the hotspot mutation-induced functional mis-regulation of DNMT3A remains unclear. Here, we report the crystal structure of DNMT3A methyltransferase (MTase) domain, revealing a molecular basis for its DNMT3B-distinct oligomerization behavior. Introducing DNMT3B-converting mutations to DNMT3A R882 mutants also led to structure determination of R882H- and R882C-mutated DNMT3A, which show enhanced intermolecular contacts than wild-type DNMT3A. Consistently, our in vitro and genomic DNA methylation analyses reveal that the DNMT3B-converting mutations eliminate the gain-of-function effect of the DNMT3A R882 mutations in cells. Together, this study provides mechanistic insights into DNMT3A R882 mutation-triggered aberrant oligomerization and DNA hypomethylation in AML, with important implications in cancer therapy.
2023-12-31 | GSE225828 | GEO
Project description:PRDM9, a histone methyltransferase, initiates meiotic recombination by binding DNA at recombination hotspots and directing the position of DNA double-strand breaks (DSB). The DSB repair mechanism suggests that hotspots should eventually self-destruct, yet genome-wide recombination levels remain constant, a conundrum known as the hotspot paradox. To test if PRDM9 drives this evolutionary erosion, we compared activity of the Prdm9Cst allele in two Mus musculus subspecies, M.m. castaneus, in which Prdm9Cst arose, and M.m. domesticus, into which Prdm9Cst was introduced. Comparing these two strains, we find that haplotype differences at hotspots leads to qualitative and quantitative changes in PRDM9 binding and activity. Most variants affecting PRDM9Cst binding arose and were fixed in M.m castaneus, suppressing hotspot activity. Furthermore, M.m castaneus x M.m domesticus F1 hybrids exhibit novel hotspots, representing sites of historic evolutionary erosion. Together these data support a model where haplotype-specific PRDM9 binding directs biased gene conversion at hotspots, ultimately leading to hotspot erosion. Identify position of meiotic H3K4me3 from various sub-species of mice and F1 hybrids from crosses between subspecies. In addition, perform ChIP-seq analysis on the meiosis-specific methyltransferase PRDM9.
2015-01-13 | E-GEOD-60906 | biostudies-arrayexpress
Project description:High-throughput Discovery of Functional Protein Modifications by Hotspot Thermal Profiling
2019-05-16 | MSV000083786 | MassIVE
Project description:This data includes regulatory factor profiling using ChIP-seq. Cells were grown according to the approved ENCODE cell culture protocols. Cells were crosslinked with 1% formaldehyde, and the reaction was quenched by the addition of glycine. Fixed cells were rinsed with PBS, lysed in nuclei lysis buffer, and the chromatin was sheared to 200-500 bp fragments using Fisher Dismembrator (model 500). Sheared chromatin fragments were immunoprecipitated with specific polyclonal antibodies at 4 degrees C with gentle rotation. Antibody-chromatin complexes were washed and eluted. The cross linking in immunoprecipitated DNA was reversed and treated with RNase-A. Following proteinase K treatment, the DNA fragments were purified by phenol-chloroform-isoamyl alcohol extraction and ethanol precipitation. 20-50 ng of ChIP DNA was end-repaired, adenine ligated to Illumina adapters was added, and then a Solexa library was made for sequencing. ChIP-seq affinity is directly reflected in raw tag density (Raw Signal), which is shown in the track as density of tags mapping within a 150 bp sliding window (at a 20 bp step across the genome). ChIP-seq affinity zones (HotSpots) were identified using the HotSpot algorithm described in Sabo et al. (2004). 1.0% false discovery rate thresholds (FDR 0.01) were computed for each cell type by applying the HotSpot algorithm to an equivalent number of random uniquely mapping 36mers. ChIP-seq affinity (Peaks) were identified as signal peaks within FDR 1.0% hypersensitive zones using a peak-finding algorithm.
2014-10-07 | E-GEOD-50611 | biostudies-arrayexpress
Project description:To study recombination at the fine-scale we used high-throughput sequencing to analyse >1,000 crossovers within the RAC1 R gene hotspot. This revealed focused intragenic crossovers, overlapping exons encoding the TIR, NBS and LRR domains (RAC1 pollen typing sequencing). To analyse chromatin structure we performed micrococcal nuclease digestion of wild type (Col-0) chromatin and gel purified the resulting ~150 bp mononucleosomal DNA band. This DNA was used to generate a library and paired-end sequencing performed (MNase-seq)
2016-07-15 | E-MTAB-4556 | biostudies-arrayexpress