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ProteomicsTube-gel digestion: a fast and reproducible sample preparation protocol for label-free quantitative proteomics of complex biological samples
Comparison of tube-gel protocol to stacking gel and liquid digestion for label-free extracted ion-current quantification of complex biological samples Dataset with known fold-changes (UPS1 spiked in yeast background at 25-10-5-2.5-1-0.5 fmol)
ORGANISM(S): Saccharomyces cerevisiae (Baker's yeast) 
2016-10-18 | PXD003841 | Pride
Label-free quantitative proteomics Liquid digestion Sample preparation Tube-gel Stacking gel 
ProteomicsExtended investigation of tube-gel sample preparation: a versatile and simple choice for high throughput quantitative proteomics
We investigated the compatibility of tube-gel with alternatives to SDS-based buffers allowing notably the extraction of proteins in various pH conditions. We also explored the use of photopolymerization to extend the number of possibilities, as it is compatible with a wide range of pH and is non-oxy...
ORGANISM(S): Mus musculus (Mouse) 
2018-06-06 | PXD008656 | Pride
Sample preparation Quantitative proteomics Tube-gel 
ProteomicsA core proliferative program induced by B-cell receptor stimulation in chronic lymphocytic leukemia cells
The B-cell receptor (BCR) signaling is crucial for the pathophysiology of chronic lymphocytic leukemia (CLL). Although the BCR has recently emerged as a new therapeutic target the precise mechanisms by which BCR signaling controls neoplastic B-cell proliferation are still ill characterized. Here, by...
ORGANISM(S): Homo sapiens (Human) 
2021-09-08 | PXD013696 | Pride
Human Transcriptomic Proteomic Cll 
ProteomicsA core proliferative program induced by B-cell receptor stimulation in chronic lymphocytic leukemia cells
The B-cell receptor (BCR) signaling is crucial for the pathophysiology of chronic lymphocytic leukemia (CLL). Although the BCR has recently emerged as a new therapeutic target the precise mechanisms by which BCR signaling controls neoplastic B-cell proliferation are still ill characterized. Here, by...
ORGANISM(S): Homo sapiens (Human) 
2021-03-29 | PXD013573 | Pride
Mathematical modelling Machine learning Transcriptome and proteome B-cell receptor (bcr) Temporal response Leukemogenesis Chronic lymphocytic leukemia (cll) Biological network reverse-engineering Cellular program. Lymphoproliferation 
ProteomicsEvolutionary insights into Trm112-methytransferase holoenzymes involved in translation between archaea and eukaryotes
To clarify the function of Trm112 in archaea, we have characterized structurally and functionally its interaction network using Haloferax volcanii as model system. This led us to unravel that methyltransferases are also privileged Trm112 partners in archaea and that this Trm112 network is much more ...
ORGANISM(S): Haloferax volcanii (Halobacterium volcanii) 
2018-10-22 | PXD008466 | Pride
Interaction network Trm112 Methyltransferases 
UnknownFactors Associated With Complications of Clostridium difficile Infection in a Multicenter Prospective Cohort.
Not available
S-EPMC4657538 | biostudies-literature
UnknownFacilitation of a free-roaming apex predator in working lands: evaluating factors that influence leopard spatial dynamics and prey availability in a South African biodiversity hotspot.
Not available
S-EPMC9884037 | biostudies-literature
GenomicsNucleosome mapping of Tetrahymena thermophila chromatin in vivo and in vitro
A conserved hallmark of eukaryotic chromatin architecture is the distinctive array of well-positioned nucleosomes downstream of transcription start sites (TSS). Recent studies indicate that trans-acting factors establish this stereotypical array. Here, we present the first genome-wide in vitro and i...
ORGANISM(S): Tetrahymena thermophila 
2015-07-30 | E-GEOD-64061 | biostudies-arrayexpress
UnknownExternal validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection.
Not available
S-EPMC6917260 | biostudies-literature
UnknownClustering autism: using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity.
Not available
S-EPMC4426202 | biostudies-literature
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