Results 61 to 70 of about 645,948 (387)

Comparison of transcriptome profiles of nucleated red blood cells in cord blood between preterm and full-term neonates

open access: yesHematology, 2022
Background The reactivation of fetal γ-globin expression is an effective strategy for ameliorating the clinical symptoms of β-hemoglobinopathies. However, the mechanism of globin switching, especially the roles of long non-coding RNAs (lncRNAs) in this ...
Yuanyuan Han   +9 more
doaj   +1 more source

Decoding transcription and microRNA-mediated translation control in Drosophila development [PDF]

open access: yes, 2010
The spatio-temporal regulation of gene expression lies at the heart of animal development. In this article we present an overview of our recent work to apply systems biological approaches to the study of transcription and microRNA-mediated translation ...
Gaul, Ulrike
core   +1 more source

MicroRNAs and Osteoarthritis [PDF]

open access: yesCells, 2018
An imbalance in gene expressional events skewing chondrocyte anabolic and catabolic pathways toward the latter causes an aberrant turnover and loss of extracellular matrix proteins in osteoarthritic (OA) articular cartilage. Thus, catabolism results in the elevated loss of extracellular matrix proteins.
openaire   +4 more sources

Coordinated alteration of mRNA-microRNA transcriptomes associated with exosomes and fatty acid metabolism in adipose tissue and skeletal muscle in grazing cattle [PDF]

open access: yesAsian-Australasian Journal of Animal Sciences, 2020
Objective On the hypothesis that grazing of cattle prompts organs to secrete or internalize circulating microRNAs (c-miRNAs) in parallel with changes in energy metabolism, we aimed to clarify biological events in adipose, skeletal muscle, and liver ...
Susumu Muroya   +5 more
doaj   +1 more source

Human MicroRNA Targets

open access: yesPLoS Biology, 2004
MicroRNAs (miRNAs) interact with target mRNAs at specific sites to induce cleavage of the message or inhibit translation. The specific function of most mammalian miRNAs is unknown.
Bino John   +5 more
semanticscholar   +1 more source

Single‐cell insights into the role of T cells in B‐cell malignancies

open access: yesFEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

MicroRNA dysregulation and esophageal cancer development depend on the extent of zinc dietary deficiency [PDF]

open access: yes, 2016
open9siopenFong, Louise Y.; Taccioli, Cristian; Jing, Ruiyan; Smalley, Karl J.; Alder, Hansjuerg; Jiang, Yubao; Fadda, Paolo; Farber, John L.; Croce, Carlo M.Fong, Louise Y.; Taccioli, Cristian; Jing, Ruiyan; Smalley, Karl J.; Alder, Hansjuerg; Jiang ...
Alder, Hansjuerg   +8 more
core   +2 more sources

YTHDF1 mitigates acute kidney injury via safeguarding m6A-methylated mRNAs in stress granules of renal tubules

open access: yesRedox Biology, 2023
Acute kidney injury (AKI) presents a daunting challenge with limited therapeutic options. To explore the contribution of N6-methyladenosine (m6A) in AKI development, we have investigated m6A-modified mRNAs within renal tubular cells subjected to injuries
Wenwen Yang   +8 more
doaj  

Circulating micrornas associated with glycemic impairment and progression in Asian Indians. [PDF]

open access: yes, 2015
Aims/hypothesisAsian Indians have a high incidence of type 2 diabetes, but factors associated with glycemic progression in this population are not understood.
Aouizerat, Bradley E   +3 more
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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