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MetabolomicsContribution of fungal microbiome to intestinal physiology, early-life immune development and mucosal inflammation in mice
The gut microbiome consists of a multi-kingdom microbial community. Whilst the role of bacteria as causal contributors governing host physiological development is well established, the role of fungi remains to be determined. Here, we use germ-free mice colonized with defined species of bacteria, fun...
2022-01-14 | MTBLS1679 | MetaboLights
UnknownProspective Study of Psychosocial Outcomes of Having Contralateral Prophylactic Mastectomy Among Women With Nonhereditary Breast Cancer.
Not available
S-EPMC6118404 | biostudies-literature
TranscriptomicsmRNA expression profiles of TAE-684 treated or shALK transfected neuroblastoma cell lines
Human wild-type ALK (SK-N-AS, NGP, IMR-32), ALKR1275Q (CLB-GA, LAN-5, UKF-NB-3), ALKF1174L (SK-N-SH, Kelly, SMS-KCNR) and ALK amplified (NB-1) neuroblastoma cell lines were treated in triplicate with 0.3M-k_M NPV-TAE-684 (Novartis/SelleckChem) or DMSO (VWR) for 6 hours, followed by RNA isolation and...
ORGANISM(S): Homo Sapiens 
2015-05-04 | E-MTAB-3205 | biostudies-arrayexpress
UnknownQuantitative proteomics profiling of the poly(ADP-ribose)-related response to genotoxic stress.
Not available
S-EPMC3439892 | biostudies-literature
ProteomicsEvaluation of iTRAQ and SWATH-MS for the quantification of proteins associated with insulin resistance in human duodenal biopsy samples
Insulin resistance (IR) is associated with increased production of triglyceride-rich lipoproteins of intestinal origin. In order to assess whether insulin resistance affects the proteins involved in lipid metabolism, we used two mass spectrometry based quantitative proteomics techniques to compare t...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
MSV000080194 | MassIVE
ProteomicsPeptide signature for the fast detection of bacterial species in Urinary Tract infections using LC-MS
The fast identification of microbial species in clinical samples is essential to provide an appropriated antiobiotherapy to the patient and to reduce the prescription of broad spectrum antimicrobials leading to antibioresistances. We have developed a new strategy for the fast identification of bacte...
ORGANISM(S): Streptococcus Agalactiae 2603v/r Enterococcus Faecalis V583 Klebsiella Pneumoniae Subsp. Pneumoniae Mgh 78578 Escherichia Coli K-12 
PXD014970 | panorama
ProteomicsFast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DIA dataset)
We have developed a new strategy for identifying bacterial species in biological samples using specific LC-MS/MS peptidic signatures. In the first training step, deep proteome coverage of bacteria of interest is obtained in Data Independent Acquisition (DIA) mode, followed by the use of machine lear...
ORGANISM(S): Citrobacter Freundii (ncbitaxon:546) Streptococcus Agalactiae 2603v/r (ncbitaxon:208435) Staphylococcus Aureus Subsp. Aureus Nctc 8325 (ncbitaxon:93061) Streptococcus Mitis (ncbitaxon:28037) Klebsiella Oxytoca (ncbitaxon:571) Staphylococcus Epidermidis Atcc 12228 (ncbitaxon:176280) Enterococcus Faecalis V583 (ncbitaxon:226185) Enterobacter Aerogenes Kctc 2190 (ncbitaxon:1028307) Proteus Mirabilis (ncbitaxon:584) Escherichia Coli K-12 (ncbitaxon:83333) Enterobacter Cloacae (ncbitaxon:550) Klebsiella Pneumoniae Subsp. Pneumoniae Mgh 78578 (ncbitaxon:272620) Pseudomonas Aeruginosa Pao1 (ncbitaxon:208964) Staphylococcus Saprophyticus Subsp. Saprophyticus Atcc 15305 (ncbitaxon:342451) Staphylococcus Haemolyticus Jcsc1435 (ncbitaxon:279808) 
2019-05-16 | MSV000083793 | MassIVE
ProteomicsFast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset)
We have developed a new strategy for identifying bacterial species in biological samples using specific LC-MS/MS peptidic signatures. In the first training step, deep proteome coverage of bacteria of interest is obtained in Data Independent Acquisition (DIA) mode, followed by the use of machine lear...
ORGANISM(S): Citrobacter Freundii (ncbitaxon:546) Streptococcus Agalactiae 2603v/r (ncbitaxon:208435) Staphylococcus Aureus Subsp. Aureus Nctc 8325 (ncbitaxon:93061) Streptococcus Mitis (ncbitaxon:28037) Klebsiella Oxytoca (ncbitaxon:571) Staphylococcus Epidermidis Atcc 12228 (ncbitaxon:176280) Enterococcus Faecalis V583 (ncbitaxon:226185) Enterobacter Aerogenes Kctc 2190 (ncbitaxon:1028307) Proteus Mirabilis (ncbitaxon:584) Escherichia Coli K-12 (ncbitaxon:83333) Enterobacter Cloacae (ncbitaxon:550) Klebsiella Pneumoniae Subsp. Pneumoniae Mgh 78578 (ncbitaxon:272620) Pseudomonas Aeruginosa Pao1 (ncbitaxon:208964) Staphylococcus Saprophyticus Subsp. Saprophyticus Atcc 15305 (ncbitaxon:342451) Staphylococcus Haemolyticus Jcsc1435 (ncbitaxon:279808) 
2019-05-16 | MSV000083784 | MassIVE
UnknownIncidence and predictors of post-thrombotic syndrome in patients with proximal DVT in a real-world setting: findings from the GARFIELD-VTE registry.
Not available
S-EPMC10869374 | biostudies-literature
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