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ProteomicsDessauer_AKAP7_TripleTOF6600_P124
This dataset consists of 20 raw BioID MS and associated peak lists and results files, acquired on an ABSciex TripleTOF6600 operated in Data Dependent Acquisition mode. All control samples (untransfected and eGFP) are deposited with MSV000096100. Samples were generated by Taeyeop Park. Streptavidin ...
ORGANISM(S): Rattus Norvegicus (ncbitaxon:10116) 
2024-12-13 | MSV000096656 | MassIVE
TranscriptomicsMeDIP-Chip of PrEC, LnCAP, and PC3 cells treated with vehicle control, sulforaphane, or 3,3’-diindolylmethane
Effects of sulforaphane and 3,3’-diindolylmethane on genome-wide promoter methylation in normal prostate epithelial cells and prostate cancer cells This study was undertaken to determine the genome-wide effects of sulforaphane (SFN) and 3,3’-diindolylmethane (DIM) on promoter methylation in normal p...
ORGANISM(S): Homo sapiens 
2014-01-01 | E-GEOD-47017 | biostudies-arrayexpress
TranscriptomicsPeriostin, a cell adhesion molecule, facilitates invasion in the tumor microenvironment and annotates a novel tumor invasive signature in esophageal cancer
Human squamous cell cancers are the most common epithelially derived malignancies. One example is esophageal squamous cell carcinoma (ESCC), which is associated with a high mortality rate that is related to a propensity for invasion and metastasis. We report that periostin, a highly expressed cell a...
ORGANISM(S): Homo sapiens 
2010-07-08 | E-GEOD-21293 | biostudies-arrayexpress
GenomicsNational Cancer Institute Genome-Wide Association Study of Renal Cell Carcinoma

The National Cancer Institute (NCI) genome-wide association study (GWAS) of renal cell carcinoma (RCC) was conducted to investigate common genetic variants associated with RCC risk. The GWAS includes 1,453 RCC cases and 3,531 controls of European background from 4 studies (3 cohort, 1 case-con...

phs000351.v1.p1 | EGA
UnknownIntravenous alteplase for stroke with unknown time of onset guided by advanced imaging: systematic review and meta-analysis of individual patient data.
Not available
S-EPMC7734592 | biostudies-literature
GenomicsGoT2D: Genetics of Type 2 Diabetes, a study of the the genetic architecture of type 2 diabetes using low pass whole genome sequencing and high density SNP genotyping in 2,657 individuals.
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...
EGAS00001001459 | EGA
Genomicsena-DATASET-GoT2D/T2D-GENES-09-07-2016-02:03:47:226-1135 - samples
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....
EGAD00001002247 | EGA
GenomicsImputation analysis file
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
EGAD00010001184 | EGA
Genomics13K T2D-GENES analysis files
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...
EGAD00010001188 | EGA
GenomicsGoT2D WGS analysis files
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
EGAD00010001185 | EGA
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