scholarly journals Identifying Cell Type-Specific Transcription Factors by Integrating ChIP-seq and eQTL Data-Application to Monocyte Gene Regulation

2016 ◽  
Vol 10 ◽  
pp. GRSB.S40768 ◽  
Author(s):  
Mudra Choudhury ◽  
Stephen A. Ramsey
Keyword(s):  
Gene Regulation ◽  
Transcription Factors ◽  
Cell Type ◽  
Data Application ◽  
Cell Type Specific ◽  
Eqtl Data

scholarly journals Annotations capturing cell-type-specific TF binding explain a large fraction of disease heritability

2018 ◽  
Author(s):  
Bryce van de Geijn ◽  
Hilary Finucane ◽  
Steven Gazal ◽  
Farhad Hormozdiari ◽  
Tiffany Amariuta ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Transcription Factors ◽  
Complex Traits ◽  
Complex Disease ◽  
Specific Binding ◽  
Large Fraction ◽  
Genome Wide Association ◽  
Cell Type ◽  
Genome Wide ◽  
Cell Type Specific

AbstractIt is widely known that regulatory variation plays a major role in complex disease and that cell-type-specific binding of transcription factors (TF) is critical to gene regulation, but genomic annotations from directly measured TF binding information are not currently available for most cell-type-TF pairs. Here, we construct cell-type-specific TF binding annotations by intersecting sequence-based TF binding predictions with cell-type-specific chromatin data; this strategy addresses both the limitation that identical sequences may be bound or unbound depending on surrounding chromatin context, and the limitation that sequence-based predictions are generally not cell-type-specific. We evaluated different combinations of sequence-based TF predictions and chromatin data by partitioning the heritability of 49 diseases and complex traits (average N=320K) using stratified LD score regression with the baseline-LD model (which is not cell-type-specific). We determined that 100bp windows around MotifMap sequenced-based TF binding predictions intersected with a union of six cell-type-specific chromatin marks (imputed using ChromImpute) performed best, with an 58% increase in heritability enrichment compared to the chromatin marks alone (11.6x vs 7.3x; P = 9 × 10-14 for difference) and a 12% increase in cell-type-specific signal conditional on annotations from the baseline-LD model (P = 8 × 10-11 for difference). Our results show that intersecting sequence-based TF predictions with cell-type-specific chromatin information can help refine genome-wide association signals.

Cell-Type Specific Genetic Influences on Gene Regulation During Human Neocortical Differentiation

2021 ◽  
Vol 89 (9) ◽  
pp. S25
Author(s):  
Dan Liang ◽  
Nil Aygün ◽  
Angela Elwell ◽  
Oleh Krupa ◽  
Felix Kyere ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Genetic Influences ◽  
Cell Type ◽  
Cell Type Specific

scholarly journals FIREcaller: Detecting Frequently Interacting Regions from Hi-C Data

2019 ◽  
Author(s):  
Cheynna Crowley ◽  
Yuchen Yang ◽  
Yunjiang Qiu ◽  
Benxia Hu ◽  
Armen Abnousi ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Spatial Organization ◽  
R Package ◽  
Specific Gene ◽  
List Type ◽  
Cell Type ◽  
R Software ◽  
Computational Tools ◽  
Cell Type Specific ◽  
User Friendly

AbstractHi-C experiments have been widely adopted to study chromatin spatial organization, which plays an essential role in genome function. We have recently identified frequently interacting regions (FIREs) and found that they are closely associated with cell-type-specific gene regulation. However, computational tools for detecting FIREs from Hi-C data are still lacking. In this work, we present FIREcaller, a stand-alone, user-friendly R package for detecting FIREs from Hi-C data. FIREcaller takes raw Hi-C contact matrices as input, performs within-sample and cross-sample normalization, and outputs continuous FIRE scores, dichotomous FIREs, and super-FIREs. Applying FIREcaller to Hi-C data from various human tissues, we demonstrate that FIREs and super-FIREs identified, in a tissue-specific manner, are closely related to gene regulation, are enriched for enhancer-promoter (E-P) interactions, tend to overlap with regions exhibiting epigenomic signatures of cis-regulatory roles, and aid the interpretation or GWAS variants. The FIREcaller package is implemented in R and freely available at https://yunliweb.its.unc.edu/FIREcaller.Highlights– Frequently Interacting Regions (FIREs) can be used to identify tissue and cell-type-specific cis-regulatory regions.– An R software, FIREcaller, has been developed to identify FIREs and clustered FIREs into super-FIREs.

scholarly journals NF-κB/Rel Transcription Factors in Pancreatic Cancer: Focusing on RelA, c-Rel, and RelB

Cancers ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 937 ◽  
Author(s):  
Derya Kabacaoglu ◽  
Dietrich A. Ruess ◽  
Jiaoyu Ai ◽  
Hana Algül
Keyword(s):  
Transcription Factors ◽  
Ductal Adenocarcinoma ◽  
Cell Type ◽  
Dual Nature ◽  
Ability To Act ◽  
Cell Type Specific ◽  
Additional Tumor ◽  
Light Chain Enhancer ◽  
Oncogenic Function

Regulation of Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB)/Rel transcription factors (TFs) is extremely cell-type-specific owing to their ability to act disparately in the context of cellular homeostasis driven by cellular fate and the microenvironment. This is also valid for tumor cells in which every single component shows heterogenic effects. Whereas many studies highlighted a per se oncogenic function for NF-κB/Rel TFs across cancers, recent advances in the field revealed their additional tumor-suppressive nature. Specifically, pancreatic ductal adenocarcinoma (PDAC), as one of the deadliest malignant diseases, shows aberrant canonical-noncanonical NF-κB signaling activity. Although decades of work suggest a prominent oncogenic activity of NF-κB signaling in PDAC, emerging evidence points to the opposite including anti-tumor effects. Considering the dual nature of NF-κB signaling and how it is closely linked to many other cancer related signaling pathways, it is essential to dissect the roles of individual Rel TFs in pancreatic carcinogenesis and tumor persistency and progression. Here, we discuss recent knowledge highlighting the role of Rel TFs RelA, RelB, and c-Rel in PDAC development and maintenance. Next to providing rationales for therapeutically harnessing Rel TF function in PDAC, we compile strategies currently in (pre-)clinical evaluation.

scholarly journals Dynamic epigenetic enhancer signatures reveal key transcription factors associated with monocytic differentiation states

Blood ◽  
2012 ◽  
Vol 119 (24) ◽  
pp. e161-e171 ◽  
Author(s):  
Thu-Hang Pham ◽  
Christopher Benner ◽  
Monika Lichtinger ◽  
Lucia Schwarzfischer ◽  
Yuhui Hu ◽  
...  
Keyword(s):  
Transcription Factors ◽  
De Novo ◽  
Histone H3 ◽  
Human Macrophage ◽  
Cell Type ◽  
Monocytic Differentiation ◽  
Hematopoietic Stem ◽  
Chip Sequencing ◽  
Monocytes And Macrophages ◽  
Cell Type Specific

Abstract Cellular differentiation is orchestrated by lineage-specific transcription factors and associated with cell type–specific epigenetic signatures. In the present study, we used stage-specific, epigenetic “fingerprints” to deduce key transcriptional regulators of the human monocytic differentiation process. We globally mapped the distribution of epigenetic enhancer marks (histone H3 lysine 4 monomethylation, histone H3 lysine 27 acetylation, and the histone variant H2AZ), describe general properties of marked regions, and show that cell type–specific epigenetic “fingerprints” are correlated with specific, de novo–derived motif signatures at all of the differentiation stages studied (ie, hematopoietic stem cells, monocytes, and macrophages). We validated the novel, de novo–derived, macrophage-specific enhancer signature, which included ETS, CEBP, bZIP, EGR, E-Box and NF-κB motifs, by ChIP sequencing for a subset of motif corresponding transcription factors (PU.1, C/EBPβ, and EGR2), confirming their association with differentiation-associated epigenetic changes. We describe herein the dynamic enhancer landscape of human macrophage differentiation, highlight the power of genome-wide epigenetic profiling studies to reveal novel functional insights, and provide a unique resource for macrophage biologists.

scholarly journals WAPL maintains a cohesin loading cycle to preserve cell-type-specific distal gene regulation

2020 ◽  
Vol 53 (1) ◽  
pp. 100-109
Author(s):  
Ning Qing Liu ◽  
Michela Maresca ◽  
Teun van den Brand ◽  
Luca Braccioli ◽  
Marijne M. G. A. Schijns ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Cell Type ◽  
Loading Cycle ◽  
Cell Type Specific ◽  
Distal Gene
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