Results 121 to 130 of about 582,722 (350)

Transcriptional regulation of neuropeptide receptors underlies context‐dependent adaptation in Drosophila melanogaster

FEBS Open Bio, EarlyView.
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu, Yanan Wei, Zekun Wu, Tianmu Zhang, DoHoon Lee, Hadi Najafi, Woo Jae Kim   +6 more
wiley   +1 more source

RNA-Seq transcriptomic profiling of primary murine microglia treated with LPS or LPS + IFNγ [PDF]

, 2018
Marta Pulido-Salgado, José Vidal, Gerardo Garcia-Díaz Barriga, Carme Solà, Josep Saura   +4 more
openalex   +1 more source

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

FEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado, Leanne Jones, Sonika Divakar, Michael Naidoo, Karen Anthony   +4 more
wiley   +1 more source

RNA sequencing and immunohistochemistry jointly improve tumor biomarker interpretation

Scientific Reports
This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC ...
Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U. Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K. Lennerz, Funda Meric-Bernstam, Alexander Bagaev   +15 more
doaj   +1 more source

Integrated Analysis of Single-Cell RNA-seq and Bulk RNA-seq in the Identification of a Novel ceRNA Network and Key Biomarkers in Diabetic Kidney Disease

International Journal of General Medicine, 2022
Yuejun Wang,1 Mingming Zhao,2 Yu Zhang2 1Department of Nephrology, Zhejiang Aged Care Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, People’s Republic of China; 2Department of Nephrology, Xiyuan Hospital, China Academy of Chinese Medical ...
Wang Y, Zhao M, Zhang Y
doaj  

Models for transcript quantification from RNA-Seq [PDF]

, 2011
RNA-Seq is rapidly becoming the standard technology for transcriptome analysis. Fundamental to many of the applications of RNA-Seq is the quantification problem, which is the accurate measurement of relative transcript abundances from the sequenced reads.
Pachter, Lior
core  

Interplay between RNA‐protein interactions and RNA structures in gene regulation

FEBS Open Bio, EarlyView.
Methodological advances in mapping transcriptome‐wide RNA‐protein interactions and RNA structures have started to uncover the potential of RNP conformations in gene regulation. Competing RNA–RNA, RNA‐protein and protein–protein interactions shape the compaction and function of RNPs throughout their lifetime and may provide novel therapeutic targets in ...
Jenni Rapakko, Mauro Scaravilli, Minna‐Liisa Änkö   +2 more
wiley   +1 more source

RNA-Seq Illumina

, 2020
RNA-Seq with ...
openaire   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data

, 2019
Data normalization and identification of significant differential expression represent crucial steps in RNA-Seq analysis. Many available tools rely on assumptions that are often not met by real data, including the common assumption of symmetrical ...
Rosenstiel, P., Schulenburg, H., Yang, W.   +2 more
core   +2 more sources