M
Manoj Bhasin
Researcher at Emory University
Publications - 165
Citations - 8475
Manoj Bhasin is an academic researcher from Emory University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 45, co-authored 137 publications receiving 7139 citations. Previous affiliations of Manoj Bhasin include Beth Israel Deaconess Medical Center & University of California, San Francisco.
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Journal ArticleDOI
PGC-1α promotes recovery after acute kidney injury during systemic inflammation in mice
Mei Tran,Denise Tam,Amit Bardia,Manoj Bhasin,Glenn C. Rowe,Ajay Kher,Zsuzsanna K. Zsengellér,M. Reza Akhavan-Sharif,Eliyahu V. Khankin,Magali Saint-Geniez,Sascha David,Deborah Burstein,S. Ananth Karumanchi,Isaac E. Stillman,Zoltan Arany,Samir M. Parikh +15 more
TL;DR: It is shown that endotoxemia reduces oxygen delivery to the kidney, without changing tissue oxygen levels, suggesting reduced oxygen consumption by the kidney cells, and that PGC-1α induction may be necessary for recovery from this disorder.
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PGC1α drives NAD biosynthesis linking oxidative metabolism to renal protection
Mei T. Tran,Zsuzsanna K. Zsengellér,Anders H. Berg,Eliyahu V. Khankin,Manoj Bhasin,Wondong Kim,Clary B. Clish,Isaac E. Stillman,S. Ananth Karumanchi,S. Ananth Karumanchi,Eugene P. Rhee,Eugene P. Rhee,Samir M. Parikh +12 more
TL;DR: It is shown that the mitochondrial biogenesis regulator, PGC1α, is a pivotal determinant of renal recovery from injury by regulating nicotinamide adenine dinucleotide (NAD) biosynthesis, and NAM treatment reverses established ischaemic AKI and also prevented AKI in an unrelated toxic model.
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Prediction of CTL epitopes using QM, SVM and ANN techniques.
TL;DR: A systematic attempt has been made to develop a direct method for predicting CTL epitopes from an antigenic sequence based on quantitative matrix (QM) and machine learning techniques such as Support Vector Machine (SVM) and Artificial Neural Network (ANN).
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ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST
TL;DR: Support vector machine (SVM) has been used to predict the subcellular location of eukaryotic proteins from their different features such as amino acid composition, dipeptide composition and physico-chemical properties, and an online web server ESLpred was developed.
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Notch1 contributes to mouse T-cell leukemia by directly inducing the expression of c-myc
Vishva Mitra Sharma,Jennifer A. Calvo,Kyle M. Draheim,Leslie A. Cunningham,Nicole Hermance,Levi J. Beverly,Veena Krishnamoorthy,Manoj Bhasin,Anthony J. Capobianco,Michelle A. Kelliher +9 more
TL;DR: The Notch1 molecular signature in mouse T-ALL is defined and mechanistic insight is provided as to how notch1 contributes to human T-all as well as identifying c-myc as a novel, direct, and critical NotCh1 target gene in T-cell leukemia.