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TranscriptomicsOSCC whole genome expression by T stage
Differentially expressed genes between T4 and T1 stage human oral squamous cell carcinoma (OSCC) 36 OSCC samples separated by tumor size T stage, in dual color microarray, using a pool of human cell lines as control. Screening for differentially expressed genes was performed in a cohort of 36 patien...
ORGANISM(S): Homo sapiens 
2015-06-23 | E-GEOD-59069 | biostudies-arrayexpress
UnknownNociceptive mechanisms driving pain in a post-traumatic osteoarthritis mouse model.
Not available
S-EPMC7499425 | biostudies-literature
UnknownPharmacological clearance of senescent cells reduces inflammation, endothelial damage and cardiac fibrosis in HFpEF.
Not available
S-EPMC12687878 | biostudies-literature
UnknownImplementation of a text messaging intervention to patients on warfarin therapy in Brazilian primary care units: a quasi-experimental study.
Not available
S-EPMC8942053 | biostudies-literature
ProteomicsExosomes and cells protein content from human subpopulations of pancreatic ductal adenocarcinoma (PDAC)
Characterization of the protein composition of exosomes and subpopulations of cells from four human PDAC cell lines (BxPC-3, PANC-1, T3M4, and MIA PaCa-2), via liquid chromatography electrospray ionization tandem mass spectrometry (LC/ESI–MS/MS).
ORGANISM(S): Homo sapiens (Human) 
2022-01-25 | PXD023529 | Pride
Cancer Exosomes Pancreas Pdac 
UnknownNational surveillance of Neisseria gonorrhoeae antimicrobial susceptibility and epidemiological data of gonorrhoea patients across Brazil, 2018-20.
Not available
S-EPMC9252985 | biostudies-literature
UnknownA draft genome sequence of the elusive giant squid, Architeuthis dux.
Not available
S-EPMC6962438 | biostudies-literature
UnknownChagas disease and SARS-CoV-2 coinfection does not lead to worse in-hospital outcomes.
Not available
S-EPMC8514447 | biostudies-literature
UnknownTracking the turnover of SARS-CoV-2 VOCs Gamma to Delta in a Brazilian state (Minas Gerais) with a high-vaccination status.
Not available
S-EPMC9384558 | biostudies-literature
UnknownPotential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.
Not available
S-EPMC9975879 | biostudies-literature
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