Phenotypic and genomic comparison of Mycobacterium aurum and surrogate model species to Mycobacterium tuberculosis: implications for drug discovery

Autor: Amine Namouchi, Mena Cimino, Sandrine Favre-Rochex, Patricia Charles, Brigitte Gicquel

Publikováno v: BMC Genomics, Vol 18, Iss 1, Pp 1-9 (2017)

Abstract Background Tuberculosis (TB) is caused by Mycobacterium tuberculosis and represents one of the major challenges facing drug discovery initiatives worldwide. The considerable rise in bacterial drug resistance in recent years has led to the ne

Externí odkaz: https://doaj.org/article/9d539ce22669430e9264ba01e6742a5a

Identification of DNA binding motifs of the Mycobacterium tuberculosis PhoP/PhoR two-component signal transduction system.

Autor: Mena Cimino, Christophe Thomas, Amine Namouchi, Sarah Dubrac, Brigitte Gicquel, Deshmukh N Gopaul

Publikováno v: PLoS ONE, Vol 7, Iss 8, p e42876 (2012)

BACKGROUND: The Mycobacterium tuberculosis PhoP/PhoR two-component signal transduction system controls the expression of about 2% of the genome and plays a major role in pathogenicity. However, its regulon has not been well characterized. METHODOLOGY

Externí odkaz: https://doaj.org/article/ee6047195d9a44e28905324457ed7d39

Electrophysiological correlates of attentional selection in tactile search tasks:The impact of singleton distractors on target selection

Autor: Carlos I. Mena, Elena Gherri, Kadi Lang

Publikováno v: Mena, C I, Lang, K & Gherri, E 2020, ' Electrophysiological correlates of attentional selection in tactile search tasks : The impact of singleton distractors on target selection ', Psychophysiology, vol. 57, no. 9, pp. 1-12 . https://doi.org/10.1111/psyp.13592
Mena, C I, Lang, K & Gherri, E 2020, ' Electrophysiological correlates of attentional selection in tactile search tasks : The impact of singleton distractors on target selection ', Psychophysiology . https://doi.org/10.1111/psyp.13592

Recent event-related potential (ERP) studies have suggested that the N140cc component reflects target-selection mechanisms in tactile search tasks in which the target is presented simultaneously with homogeneous distractors. To investigate if and how

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::514714fa2bb8e6983b807775aae1050e
https://www.pure.ed.ac.uk/ws/files/191922321/MenaEtal2020PElectrophysiologicalCorrelatesOfAttentionalSelection.pdf

Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention.

Autor: Huang C; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut., Li SX; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut., Mahajan S; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Testani JM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Wilson FP; Program of Applied Translational Research, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Mena CI; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Masoudi FA; Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora., Rumsfeld JS; Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora., Spertus JA; Saint Luke's Mid America Heart Institute, Department of Cardiology, University of Missouri, Kansas City., Mortazavi BJ; Department of Computer Science and Engineering, Texas A&M University, College Station., Krumholz HM; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.

Publikováno v: JAMA network open [JAMA Netw Open] 2019 Nov 01; Vol. 2 (11), pp. e1916021. Date of Electronic Publication: 2019 Nov 01.

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

Autor: Huang C; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America., Murugiah K; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America., Mahajan S; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America., Li SX; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America., Dhruva SS; Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America., Haimovich JS; Albert Einstein College of Medicine, Bronx, New York, United States of America., Wang Y; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America., Schulz WL; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America., Testani JM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America., Wilson FP; Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America., Mena CI; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America., Masoudi FA; Division of Cardiology, School of Medicine, University of Colorado, Aurora, Colorado, United States of America., Rumsfeld JS; Division of Cardiology, School of Medicine, University of Colorado, Aurora, Colorado, United States of America., Spertus JA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, United States of America., Mortazavi BJ; Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, United States of America., Krumholz HM; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America.

Publikováno v: PLoS medicine [PLoS Med] 2018 Nov 27; Vol. 15 (11), pp. e1002703. Date of Electronic Publication: 2018 Nov 27 (Print Publication: 2018).