Results 241 to 250 of about 3,887,902 (293)

Domain associated with zinc fingers‐containing NF90‐NF45 complex inhibits m6A modification of primary microRNA by suppressing METTL3/14 activity

FEBS Open Bio, EarlyView.
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi, Shunsuke Morioka, Keiko Morisawa, Kazutsugu Matsukawa, Shingo Ashida, Takeshi Suzuki, Shuji Sakamoto   +6 more
wiley   +1 more source

Selection of stable reference genes in prunus persica fruit infected with monilinia laxa for normalisation of RT-qPCR gene expression data. [PDF]

Sci Rep
Lizzio A, Battaglia V, Lahoz E, Reverberi M, Petriccione M.   +4 more
europepmc   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis. [PDF]

Bioinformatics
Mongardi S, Cascianelli S, Masseroli M.
europepmc   +1 more source

Online-adjusted evolutionary biclustering algorithm to identify significant modules in gene expression data. [PDF]

Brief Bioinform
Galindo-Hernández R, Rodríguez-Vázquez K, Galán-Vásquez E, Hernández Castellanos CI.   +3 more
europepmc   +1 more source

Predicting the Progression from Asymptomatic to Symptomatic Multiple Myeloma and Stage Classification Using Gene Expression Data. [PDF]

Cancers (Basel)
Karathanasis N, Spyrou GM.
europepmc   +1 more source

STLBRF: an improved random forest algorithm based on standardized-threshold for feature screening of gene expression data. [PDF]

Brief Funct Genomics
Feng H, Ju Y, Yin X, Qiu W, Zhang X.
europepmc   +1 more source

Denoiseit: denoising gene expression data using rank based isolation trees. [PDF]

BMC Bioinformatics
Jeon J, Suk Y, Kim SC, Jo HY, Kim K, Jung I.   +5 more
europepmc   +1 more source

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EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA

Biocomputing 2003, 2002
We propose a representation for gene expression data called conserved gene expression motifs or XMOTIFs. A gene's expression level is conserved across a set of samples if the gene is expressed with the same abundance in all the samples. A conserved gene expression motif is a subset of genes that is simultaneously conserved across a subset of samples ...
T M, Murali, Simon, Kasif
openaire   +2 more sources

Analysis of Gene‐Expression Data Using J‐Express

Current Protocols in Bioinformatics, 2008
AbstractThe J‐Express package has been designed to facilitate the analysis of microarray data with an emphasis on efficiency, usability, and comprehensibility. The J‐Express system provides a powerful and integrated platform for the analysis of microarray gene expression data.
Anne Kristin, Stavrum, Kjell, Petersen, Inge, Jonassen, Bjarte, Dysvik   +3 more
openaire   +2 more sources