Results 91 to 100 of about 357,335 (290)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

PHF13 is a molecular reader and transcriptional co-regulator of H3K4me2/3

open access: yeseLife, 2016
PHF13 is a chromatin affiliated protein with a functional role in differentiation, cell division, DNA damage response and higher chromatin order. To gain insight into PHF13's ability to modulate these processes, we elucidate the mechanisms targeting ...
Ho-Ryun Chung   +18 more
doaj   +1 more source

Hit and run versus long-term activation of PARP-1 by its different domains fine-tunes nuclear processes. [PDF]

open access: yes, 2019
Poly(ADP-ribose) polymerase 1 (PARP-1) is a multidomain multifunctional nuclear enzyme involved in the regulation of the chromatin structure and transcription.
Ampofo, Michelle   +13 more
core   +1 more source

Joint profiling of DNA methylation and chromatin architecture in single cells. [PDF]

open access: yes, 2019
We report a molecular assay, Methyl-HiC, that can simultaneously capture the chromosome conformation and DNA methylome in a cell. Methyl-HiC reveals coordinated DNA methylation status between distal genomic segments that are in spatial proximity in the ...
AD Schmitt   +31 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Network-based method for regions with statistically frequent interchromosomal interactions at single-cell resolution

open access: yesBMC Bioinformatics, 2020
Background Chromosome conformation capture-based methods, especially Hi-C, enable scientists to detect genome-wide chromatin interactions and study the spatial organization of chromatin, which plays important roles in gene expression regulation, DNA ...
Chanaka Bulathsinghalage, Lu Liu
doaj   +1 more source

Chromatin information content landscapes inform transcription factor and DNA interactions

open access: yesNature Communications, 2021
Interaction between transcription factors and chromatin is fundamental for genome organization and regulation. Here, the authors use information theory to measure signatures of organized chromatin resulting from transcription factor-chromatin ...
Ricardo D’Oliveira Albanus   +6 more
doaj   +1 more source

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

open access: yes, 2018
New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include a myriad of properties describing genome, epigenome, transcriptome, microbiome, phenotype, and ...
Goldenberg, Anna   +5 more
core   +1 more source

Nucleus-specific linker histones Hho1 and Mlh1 form distinct protein interactions during growth, starvation and development in Tetrahymena thermophila [PDF]

open access: yes, 2019
Chromatin organization influences most aspects of gene expression regulation. The linker histone H1, along with the core histones, is a key component of eukaryotic chromatin.
Pearlman, Ronald E.   +7 more
core   +1 more source

Long-Range Chromatin Interactions in the Kidney [PDF]

open access: yesJournal of the American Society of Nephrology, 2019
Genome-wide association studies (GWAS) have emerged as one of the most powerful tools to define DNA sequence variants associated with common diseases or phenotypes. Massive phenotyping efforts coupled with inexpensive genotyping arrays have resulted in GWAS data on millions of individuals and ...
Yuting Guan, Hongbo Liu, Katalin Susztak
openaire   +2 more sources

Home - About - Disclaimer - Privacy