AIMC Topic: Chromatin

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Decoding the germline genetic architecture of prostate cancer at a single cell resolution.

PLoS genetics
Prostate cancer exhibits a strong familial association, and its heritability indicates a significant contribution from germline variants. While genome-wide association studies (GWAS) have identified common germline variants associated with prostate c...

A machine learning model and molecular clusters of epigenetic chromatin regulators in tuberculosis based on bioinformatics and clinical samples.

Scientific reports
The role of chromatin regulators (CRs) in mediating epigenetic changes during tuberculosis (TB) infection remains poorly understood. This study aimed to determine the efficacy of CRs in diagnosing TB and characterizing its heterogeneity. GSE83456 dat...

DNALONGBENCH: a benchmark suite for long-range DNA prediction tasks.

Nature communications
Modeling long-range DNA dependencies is crucial for understanding genome structure and function across diverse biological contexts. However, effectively capturing these dependencies, which may span millions of base pairs in tasks such as three-dimens...

Predicting chromatin conformation contact maps.

PloS one
Over the past 15 years, a variety of next-generation sequencing assays have been developed for measuring the 3D conformation of DNA in the nucleus. Each of these assays gives, for a particular cell or tissue type, a distinct picture of 3D chromatin a...

Learning the cellular origins across cancers using single-cell chromatin landscapes.

Nature communications
Deciphering the pre-malignant cell of origin (COO) of different cancers is critical for understanding tumor development and improving diagnostic and therapeutic strategies in oncology. Prior work demonstrates that somatic mutations preferentially acc...

Deep learning in chromatin organization: from super-resolution microscopy to clinical applications.

Cellular and molecular life sciences : CMLS
The 3D organization of the genome plays a critical role in regulating gene expression, maintaining cellular identity, and mediating responses to environmental cues. Advances in super-resolution microscopy and genomic technologies have enabled unprece...

The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning.

Nature communications
Many genome-wide studies capture isolated moments in cell differentiation or organismal development. Conversely, longitudinal studies provide a more direct way to study these kinetic processes. Here, we present an approach for modeling gene-expressio...

A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML.

Journal of translational medicine
BACKGROUND: Comprehensive analysis of single-cell transcriptome and chromatin accessibility will contribute to interpret the heterogeneity of acute myeloid leukemia (AML). We hypothesize that integrating single-cell transcriptomic and chromatin acces...

Integrative scATAC-seq and mtDNA mutation analysis reveals disease-driven regulatory aberrations in AML.

Science bulletin
Disturbances in transcriptional regulation during hematopoiesis can lead to aberrant hematopoietic differentiation and potential leukemogenesis. Given the high relapse risk of acute myeloid leukemia (AML), understanding its progression mechanisms and...

TECM-ChI: A TECM network-based method for chromatin interaction prediction.

Gene
Chromatin interactions refer to regulatory relationships formed between chromatin regions through physical contact or spatial proximity, playing a crucial role in genome function, structure, and the development of diseases. In cancer research, for ex...