Sort   by:  
 Page size 
TranscriptomicsmiRNAs expression in the splenic CD4+ T cells and B cells isolated from MRL/lpr mice at 5 and 16 weeks of age
To identify any differentially expressed miRNAs in the CD4+ T cells of lupus. MicroRNAs (miRNAs) have been implicated as fine-tuning regulators controlling diverse biological processes at the level of posttranscriptional repression. Dysregulation of miRNAs has been described in various disease stat...
ORGANISM(S): Mus musculus 
2010-07-06 | E-GEOD-21220 | biostudies-arrayexpress
TranscriptomicsRNA-seq data of ABC from Bm12-induced lupus model
Age-associated B cells (ABCs) accumulate in systemic autoimmunity, and contributes to pathogenesis. ABCs are characterized by high expression of CD11c and T-bet. As a transcription factor, T-bet cannot be labeled in live cells with antibodies, so we constructed a reporter mouse strain in which fluor...
ORGANISM(S): Mus musculus 
2023-02-16 | E-MTAB-12568 | biostudies-arrayexpress
UnknownLinked PNPLA3 polymorphisms confer susceptibility to nonalcoholic steatohepatitis and decreased viral load in chronic hepatitis B.
Not available
S-EPMC4515841 | biostudies-literature
UnknownA risk score model with five long non-coding RNAs for predicting prognosis in gastric cancer: an integrated analysis combining TCGA and GEO datasets.
Not available
S-EPMC7879943 | biostudies-literature
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging mouse liver negative mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS606 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging fruit fly positive mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-22 | MTBLS612 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging fruit fly negative mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS615 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging mouse liver positive mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS601 | MetaboLights
UnknownDissecting the essential role of N-glycosylation in catalytic performance of xanthan lyase.
Not available
S-EPMC10992191 | biostudies-literature
Proteomicsidentify the possible proteins that specifically bind to the 59-bp nucleotide sequence containing rs2280381
we performed DNA-affinity precipitation assay (DAPA) followed by mass spectrometry to identify the possible proteins that specifically bind to the 59-bp nucleotide sequence containing rs2280381 using U-937 cell nuclear extracts.
ORGANISM(S): Homo sapiens (Human) 
2022-02-26 | PXD029688 | Pride
Ms Rs2280381 Dapa Human 
Sort   by:  
 Page size