Results 61 to 70 of about 574,514 (257)

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

An optimized protocol for rapid, sensitive and robust on-bead ChIP-seq from primary cells

open access: yesSTAR Protocols, 2021
Summary: Integrative analysis of next-generation sequencing data can help understand disease mechanisms. Specifically, ChIP-seq can illuminate where transcription regulators bind to regulate transcription.
Lorane Texari   +5 more
doaj   +1 more source

ChIP-Seq and RNA-Seq datasets with corresponding ID.

open access: yes, 2019
ChIP-Seq and RNA-Seq datasets with corresponding ID.
Aiindrila Dhara (7512545)   +4 more
core   +1 more source

CEACAM1 participation in breast cancer progression

open access: yesMolecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin   +3 more
wiley   +1 more source

An integrated pipeline for the genome-wide analysis of transcription factor binding sites from ChIP-Seq.

open access: yesPLoS ONE, 2011
ChIP-Seq has become the standard method for genome-wide profiling DNA association of transcription factors. To simplify analyzing and interpreting ChIP-Seq data, which typically involves using multiple applications, we describe an integrated, open source,
Eloi Mercier   +5 more
doaj   +1 more source

ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements.

open access: yesPLoS Computational Biology, 2021
Transcription factors (TFs) often function as a module including both master factors and mediators binding at cis-regulatory regions to modulate nearby gene transcription.
Xi Chen   +4 more
doaj   +1 more source

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

The Role of Genome Accessibility in Transcription Factor Binding in Bacteria. [PDF]

open access: yesPLoS Computational Biology, 2016
ChIP-seq enables genome-scale identification of regulatory regions that govern gene expression. However, the biological insights generated from ChIP-seq analysis have been limited to predictions of binding sites and cooperative interactions. Furthermore,
Antonio L C Gomes, Harris H Wang
doaj   +1 more source

iPSC-EC H3K27Ac ChiP-Seq

open access: yes, 2017
ChIP-Seq for H3K27Ac in iPSC ...
Raj Gupta (7003349)
core   +1 more source

ADP‐ribosylation: An emerging regulator of the epigenome

open access: yesMolecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho   +2 more
wiley   +1 more source

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