نتائج البحث - "Selva Rupa Christinal Immanuel"

المساهمون: Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), National Center for Biotechnology Information (NCBI), Pathogénèse des Bactéries Anaérobies / Pathogenesis of Bacterial Anaerobes (PBA (U-Pasteur_6)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institute for Systems Biology [Seattle] (ISB), U.S. Food and Drug Administration (FDA), Harvard-MIT Division of Health Sciences and Technology [Cambridge], Massachusetts Institute of Technology (MIT), Tufts University School of Medicine [Boston], This work was supported by the BWH Precision Medicine Institute, R01AI153605 from the National Institute of Allergy and Infectious Diseases (NIAID) and P30DK034854 from the National Institute of Diabetes, Digestive and Kidney Diseases to L.B., R01AI128215, R01AI141953, and U19AI135976 from NIAID and IIBR-2042948 from the National Science Foundation to N.S.B., B.P.G. was supported by T32 HL007627, the work of J.N.W. was supported by the Intramural Research Program of the National Library of Medicine, National Institutes of Health. J.P. received support from the Institut Pasteur (Bourse ROUX). This work was conducted by authors from the FDA working as official U.S. Government employees and for which no additional external funding was utilized.

المصدر: Cell Host & Microbe
Cell Host & Microbe, 2021, 29 (11), pp.1693-1708.e7. ⟨10.1016/j.chom.2021.09.007⟩

مصطلحات موضوعية: MESH: Clostridioides difficile, MESH: Amino Acids, colitis, Systems biology, MESH: Clostridium Infections, [SDV]Life Sciences [q-bio], gnotobiotic mouse, Clostridium sardiniense, Virulence, MESH: Butyrates, Biology, MESH: Virulence, medicine.disease_cause, Microbiology, MESH: Clostridiales, MESH: Fermentation, Clostridia, MESH: Gene Expression Profiling, conventional mouse, In vivo, Virology, MESH: Germ-Free Life, MESH: Severity of Illness Index, medicine, Paraclostridium bifermentans, MESH: Animals, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Colitis, Pathogen, MESH: Mice, MESH: Gene Regulatory Networks, MESH: Gene Expression Regulation, Bacterial, metatranscriptomics, MESH: Symbiosis, Toxin, Host (biology), Clostridioides difficile, MESH: Clostridium, MESH: Arginine, MESH: Cecum, biology.organism_classification, medicine.disease, metabolomics, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, MESH: Systems Biology, Parasitology, carbon source enrichment analysis, anaerobe metabolism

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1871658156407951a3541aa082d6ad62
https://hal-pasteur.archives-ouvertes.fr/pasteur-03580039

9

Transcriptome signature of cell viability predicts drug response and drug interaction in Mycobacterium tuberculosis

المؤلفون: Vivek Srinivas, Rene A. Ruiz, Min Pan, Selva Rupa Christinal Immanuel, Eliza J.R. Peterson, Nitin S. Baliga

مصطلحات موضوعية: Cultural Studies, History, Literature and Literary Theory, Tuberculosis, drug-resistant tuberculosis, TB drug discovery, drug response prediction, drug combinations, drug synergy, novel TB-treatment regimens, computational model, machine learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bb9bb1858be77d544e83812d0bc4536

10

Transcriptome signature of cell viability predicts drug response and drug interaction in

المؤلفون: Vivek, Srinivas, Rene A, Ruiz, Min, Pan, Selva Rupa Christinal, Immanuel, Eliza J R, Peterson, Nitin S, Baliga

المصدر: Cell Reports Methods

مصطلحات موضوعية: TB drug discovery, drug response prediction, drug combinations, computational model, drug synergy, machine learning, tuberculosis, drug-resistant tuberculosis, Article, TB treatment regimens

URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::93cd5537eacefd633cb906c20d3f93d9
https://pubmed.ncbi.nlm.nih.gov/34977849

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