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This project is a report of a chromosome-based human proteome project focused on chromosome 9 (Chr 9). To reveal missing proteins and undiscovered features in proteomes, LC-MS/MS analysis based identification and characterization were conducted on 5 pairs of lung adenocarcinoma tumors and adjacent n...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2016-07-20 | MSV000079961 | MassIVE
Targeted LC/MS Metabolomics. Cecal contents were lyophilized overnight and approximately 2.5-5 mg was homogenized in 250 µL of 50% acidified acetonitrile (0.3% formic acid) for targeted LC/MS/MS metabolomics (acylcarnitines, amino acids, organic acids, nucleotides, and CoAs) according to validated, ...
2026-06-19 | MTBLS14783 | MetaboLights
The ability to sense and adapt to a hostile host environment is a crucial element for virulence of pathogenic fungi, including Cryptococcus neoformans. These cellular responses are evoked by diverse signaling cascades, including the stress-activated HOG pathway. Despite previous analysis of centra...
ORGANISM(S): Cryptococcus neoformans var. grubii 
The goal of the project is to understand the mitochondrial proteome profiles related to T2DM. We performed comprehensive proteome profiling of mitochondria isolated from skeletal muscles in nine T2DM patients and nine control subjects with normal glucose tolerance (NGT).
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2019-03-13 | MSV000083560 | MassIVE
The Genetics of Type 2 Diabetes Consortium (GoT2D) is a collaboration between the University of Michigan, the Broad Institute and the Wellcome Trust Centre for Human Genetics. The overall aim is to extend upon recent efforts, such as genome-wide association studies (GWAS) and large scale meta-analys...
The GoT2D study includes ~2800 samples, half T2D cases and half T2D controls, of Northern European ancestry sequenced over 3 three technologies: deep whole exome sequencing, low-pass (4x) whole genome sequencing, and OMNI 2.5M genotyping. Samples were ascertained to be phenotypically "extreme" (e.g....
This data set includes the following summary level data file used for the imputation data: imputation.sv.assoc.txt: results from single variant association analysis in imputed samples
This data set includes the following summary level data files used for the 13k analysis of T2D-GENES data: wes.variants.list: list of variants to keep for any analysis of the exomes data wes.assoc.samples.list: list of samples to keep for association analysis wes.assoc.variants.list: list of variant...
This data set includes the following summary level data files used for the GoT2D WGS analysis: wgs.assoc.samples.list: list of samples to keep for association analysis wgs.assoc.variants.list: list of variants to keep for association analysis wgs.sv.assoc.txt: single variant association results
This data set includes the following summary level data file used for the exome chip analysis: exome_chip.sv.assoc.txt: results from single variant association analysis in exome chip
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