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Gastric cancer (GC) is a highly heterogeneous disease regarding histologic features, genotypes, and molecular phenotypes. Here, we investigated extracellular matrix (ECM)-centric analysis, examining its association with histologic subtypes and patient prognosis in human gastric cancer. We performed ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2024-01-12 | MSV000093859 | MassIVE
enrichment for specialized purple membrane proteins, cell culture #3; Goo et al., unpublished data.
ORGANISM(S): Halobacterium Nrc-1 (halobacterium) 
2006-12-31 | PAe000189 | PeptideAtlas
We propose and demonstrate a systematic approach designed to combine stringent criteria for claims of missing protein (MP) identification with extensive annotation as critical components of the discovery and functional validation of MPs.
ORGANISM(S): Homo sapiens (Human) 
2018-01-05 | PXD004723 | Pride
Profilling normal human placantal proteomes using LTQ-OrbiTrap
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2019-06-10 | MSV000083950 | MassIVE
We performed proteomic analyses of human olfactory epithelial tissue to identify missing proteins using liquid chromatography-tandem mass spectrometry. Using a next-generation proteomic pipeline with a <1.0% false discovery rate at the peptide and protein levels, we identified 3,731 proteins, among ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2020-11-12 | MSV000086444 | MassIVE
In this study, we introduce a streamlined pipeline using customized and concatenated GENCODE and neXtProt databases with controlled false discovery rate (FDR) for finding GENCODE ASVs and missing proteins while mapping onto single amino acid variants (SAAVs) from Hippocampal dataset.
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-07-25 | MSV000081385 | MassIVE
Affymetrix SNP6.0 breast cancer genome sequencing data
We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
A comprehensive characterisation and analysis of human breast cancers through whole-genome sequencing.
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