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Proteomicsinterferon-induced global cellular SUMOylation Changes
This proteomics dataset was generated to study the changes in SUMO site abundances between control cells and Interferon-alpha treated cells using SILAC. Cells were first fractionated into the cytoplasmic and nuclear fractions. SUMOylated proteins were then purified from these extracts by Ni-NTA via ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
MSV000081525 | MassIVE
TranscriptomicsIndividual multidrug resistance patterns in AML patients point to the need for personalized molecular analysis
In this unique study, based on paired samples obtained at AML diagnosis and at relapse, we assessed 380 multidrug-resistance-related genes, using TaqMan-based qRT-PCR, as indicated by reports published over the past three decades. 11 paired AML samples taken at diagnosis and at relapse after treatme...
ORGANISM(S): Homo sapiens 
2013-05-31 | E-GEOD-33787 | biostudies-arrayexpress
TranscriptomicsDown-regulation of Interferon signature in systemic lupus erythematosus patients by active immunization with Interferon alpha-Kinoid extended follow-up
Interferon-alpha Kinoid (IFN-K) is a therapeutic vaccine composed of IFN-alpha2b coupled to a carrier protein. In a phase I/II placebo-controlled trial, we observed that IFN-K significantly decreases the IFN gene signature in whole blood RNA samples from SLE patients (see GSE39088). Here, we analyze...
ORGANISM(S): Homo sapiens 
2016-02-29 | E-GEOD-72754 | biostudies-arrayexpress
TranscriptomicsInnate Immune Recognition of Bacterial Viability Instructs Human T follicular Helper Cell Differentiation
Live attenuated vaccines are often superior to dead vaccines, yet the immunological mechanisms remain largely obscure. We have recently uncovered an inherent capacity of antigen-presenting cells (APC) to discriminate live from killed bacteria by virtue of vita-PAMPs. Here we found that innate recogn...
ORGANISM(S): Homo sapiens 
2016-04-06 | E-GEOD-68255 | biostudies-arrayexpress
GenomicsExome chip analysis file
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
EGAD00010001187 | 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
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
GenomicsType 2 Diabetes GoT2D/T2D-GENES DAC
Data Access Committee EGAC00001000391
EGAC00001000391 | EGA
Genomicsena-DATASET-GoT2D/T2D-GENES-08-07-2016-21:22:44:693-1130 - samples
The T2D-GENES/GoT2D 13K exome sequencing study includes ~13,000 samples, half T2D cases and half T2D controls, from five ancestries (~5K Europeans, ~2K each of African-American, East-Asian, South-Asian, and Hispanic). Samples underwent deep exome sequencing, with SNVs and INDEls called according to ...
EGAD00001002246 | 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
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