Results 81 to 90 of about 426,916 (271)

Some preliminary results on relation between triplet composition and tissue source in larch total transcriptome [PDF]

open access: yesarXiv, 2018
We studied the structuredness ensemble of transcriptome of Siberian larch. The clusters in 64-dimensional space were identified with $K$-means technique, where the objects to be clusterized are the different fragments of the genome. A tetrahedron like structure in distribution of these fragments was found.
arxiv  

Hydrogen sulfide repairs testicular damage induced by heat stress in rats

open access: yesFEBS Open Bio, EarlyView.
Heat stress can cause testicular damage and affect fertility. We investigated the potential protective role of hydrogen sulfide (H2S) against heat stress‐induced testicular injury and observed that H2S donor NaHS can effectively restore testicular damage in rats by inhibiting inflammation and oxidative stress. Our results suggest that H2S might be used
Xinyu Guo   +6 more
wiley   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

open access: yesFEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik   +3 more
wiley   +1 more source

Ameliorated de novo transcriptome assembly using Illumina paired end sequence data with Trinity Assembler

open access: yesGenomics Data, 2015
Advent of Next Generation Sequencing has led to possibilities of de novo transcriptome assembly of organisms without availability of complete genome sequence.
Kiran Gopinath Bankar   +3 more
doaj   +1 more source

Comparative single‐cell transcriptomic profiling of patient‐derived renal carcinoma cells in cellular and animal models of kidney cancer

open access: yesFEBS Open Bio, EarlyView.
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang   +9 more
wiley   +1 more source

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

open access: yesHGG Advances, 2023
Summary: Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies.
Daniel S. Araujo   +15 more
doaj  

The Genexpress IMAGE Knowledge Base of the Human Muscle Transcriptome: A Resource of Structural, Functional, and Positional Candidate Genes for Muscle Physiology and Pathologies [PDF]

open access: hybrid, 1999
Geneviève Piétu   +15 more
openalex   +1 more source

METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response

open access: yesFEBS Open Bio, EarlyView.
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui   +15 more
wiley   +1 more source

Association of normalization, non-differentially expressed genes and data source with machine learning performance in intra-dataset or cross-dataset modelling of transcriptomic and clinical data [PDF]

open access: yesarXiv
Cross-dataset testing is critical for examining machine learning (ML) model's performance. However, most studies on modelling transcriptomic and clinical data only conducted intra-dataset testing. It is also unclear whether normalization and non-differentially expressed genes (NDEG) can improve cross-dataset modeling performance of ML.
arxiv  

Home - About - Disclaimer - Privacy