Typical enhancers, super-enhancers, and cancers

MA Koutsi, M Pouliou, L Champezou, G Vatsellas… - Cancers, 2022 - mdpi.com
Simple Summary The cancer genome has been exhaustively studied upon the advent of
Next-Generation Sequencing technologies. Coding and non-coding sequences have been …

Integrative approaches based on genomic techniques in the functional studies on enhancers

Q Wang, J Zhang, Z Liu, Y Duan… - Briefings in …, 2024 - academic.oup.com
With the development of sequencing technology and the dramatic drop in sequencing cost,
the functions of noncoding genes are being characterized in a wide variety of fields (eg …

scEnhancer: a single-cell enhancer resource with annotation across hundreds of tissue/cell types in three species

T Gao, Z Zheng, Y Pan, C Zhu, F Wei… - Nucleic acids …, 2022 - academic.oup.com
Previous studies on enhancers and their target genes were largely based on bulk samples
that represent 'average'regulatory activities from a large population of millions of cells …

A comprehensive revisit of the machine‐learning tools developed for the identification of enhancers in the human genome

LT Phan, C Oh, T He, B Manavalan - Proteomics, 2023 - Wiley Online Library
Enhancers are non‐coding DNA elements that play a crucial role in enhancing the
transcription rate of a specific gene in the genome. Experiments for identifying enhancers …

CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines

ZH Luo, MW Shi, Y Zhang, DY Wang, YB Tong… - Database, 2023 - academic.oup.com
Enhancers, which are key tumorigenic factors with wide applications for subtyping,
diagnosis and treatment of cancer, are attracting increasing attention in the cancer research …

Computational resources in healthcare

N Sharma, LD Naorem, S Gupta… - … Reviews: Data Mining …, 2022 - Wiley Online Library
Healthcare is the most important component in the life of all human beings as each
individual wish to have happy, healthy, and wealthy life‐span. Most of the branches of …

MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers

J Xu, W Sun, K Li, W Zhang, W Zhang, Y Zeng… - Knowledge-Based …, 2024 - Elsevier
Enhancers, as a class of functional genomic regulatory elements, activate transcription of
their target genes and play significant roles in the pathogenesis of complex human …

Decoding the Non-coding: Tools and Databases Unveiling the Hidden World of “Junk” RNAs for Innovative Therapeutic Exploration

U Chaudhary, S Banerjee - ACS Pharmacology & Translational …, 2024 - ACS Publications
Non-coding RNAs are pivotal regulators of gene and protein expression, exerting crucial
influences on diverse biological processes. Their dysregulation is frequently implicated in …

New Prognostic Biomarkers and Drug Targets for Skin Cutaneous Melanoma via Comprehensive Bioinformatic Analysis and Validation

S Zhou, Y Han, J Li, X Pi, J Lyu, S Xiang, X Zhou… - Frontiers in …, 2021 - frontiersin.org
Skin cutaneous melanoma (SKCM) is the most aggressive and fatal type of skin cancer. Its
highly heterogeneous features make personalized treatments difficult, so there is an urgent …

Clinical investigation of COVID-19 prevention and treatment

S Kulshrestha, A Raghav, R Chadha, PK Raghav - Stem Cells, 2024 - Elsevier
The severe acute respiratory syndrome coronavirus 2 has caused the new coronavirus
disease-2019 (COVID-19) globally to have a higher spreading rate. Recently, the WHO …