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ProteomicsComparative exo-proteomic analysis of Trichoderma antagonists induced by oomycete mycelium highlights diverse antagonism strategies
Plant-beneficial fungi from the genus Trichoderma (Hypocreales, Ascomycota) can control oomyceteous plant-pathogenic Pythium myriotylum (Peronosporales, Oomycota) and thus serve as bioeffectors for the eco-friendly products of crop protection. However, the underlying mechanisms of microbe-microbe in...
ORGANISM(S): Trichoderma asperellum CBS 433.97 Trichoderma virens Gv29-8 Hypocrea jecorina (strain QM6a) (Trichoderma reesei) Trichoderma atroviride IMI 206040 Trichoderma parepimyces Trichoderma guizhouense 
2024-07-19 | PXD051895 | Pride
Trichoderma Exo-proteins Hydrolyase Antagonism 
ProteomicsProteomics, post-translational modifications, and integrative analyses reveal heterogeneity of molecular mechanisms within medulloblastoma subgroups
Archer TC, Ehrenberger T, Mundt F, Gold MP, Krug K, Mah CK, Mahoney EL, Daniel CJ, LeNail A, Ramamoorthy D, Mertins P, Mani DR, Zhang H, Gillette MA, Clauser K, Noble M, Tang LC, Francois JP, Silterra J, Jensen J, Tamayo P, Korshunov A, Pfister SM, Kool M, Northcott PA, Sears RC, Lipton JO, Carr SA,...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2018-07-20 | MSV000082644 | MassIVE
TranscriptomicsSynthetic Lethal Interaction Between Oncogenic KRAS Dependency and Suppression of STK33 in Human Cancer Cells
Many human oncogenes are challenging therapeutic targets. An alternative to direct targeting of oncogenes is to perform â??synthetic lethalityâ?? screens for genes that are essential only in the context of specific cancer-causing mutations. We used high-throughput RNA interference (RNAi) to identify...
ORGANISM(S): Homo sapiens 
2009-06-24 | E-GEOD-15151 | biostudies-arrayexpress
UnknownInterplay between Electrolyte-Gated Organic Field-Effect Transistors and Surfactants: A Surface Aggregation Tool and Protecting Semiconducting Layer.
Not available
S-EPMC8289230 | biostudies-literature
TranscriptomicscaArray_louis-00379: Gene Expression-based Classification of Malignant Gliomas Correlates Better with Survival than Histological Classification
Microarray analysis was used to determine the expression of 12,000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogli...
ORGANISM(S): Homo sapiens 
2016-05-28 | E-GEOD-82009 | biostudies-arrayexpress
UnknownThe Impact of Data on Structure-Based Binding Affinity Predictions Using Deep Neural Networks
Not available
S-EPMC10671244 | biostudies-literature
UnknownThe limitations of simple gene set enrichment analysis assuming gene independence.
Not available
S-EPMC3758419 | biostudies-literature
UnknownSame-day 2-L PEG-citrate-simethicone plus bisacodyl vs split 4-L PEG: Bowel cleansing for late-morning colonoscopy.
Not available
S-EPMC3773855 | biostudies-literature
TranscriptomicsExpression data from DHT stimulation vs. control in LNCaP cells
Expression data from DHT stimulation vs. control in LNCaP cells LNCaP cells were maintained in phenol red-free RPMI supplemented with 10% charcoal/dextran stripped FCS for three days before stimulation with 100 nM dihydrotestosterone (DHT) for 48 hours
ORGANISM(S): Homo sapiens 
2010-02-21 | E-GEOD-14988 | biostudies-arrayexpress
TranscriptomicscaArray_golub-00299: Chemosensitivity prediction by transcriptional profiling
In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a pa...
ORGANISM(S): Homo sapiens 
2015-05-16 | E-GEOD-68936 | biostudies-arrayexpress
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