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Nagavarakishore Pillarsetty
Researcher at Memorial Sloan Kettering Cancer Center
Publications - 83
Citations - 2147
Nagavarakishore Pillarsetty is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: In vivo & Medicine. The author has an hindex of 23, co-authored 70 publications receiving 1829 citations. Previous affiliations of Nagavarakishore Pillarsetty include Kettering University & Dow Chemical Company.
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Journal ArticleDOI
Characterization of supramolecular (H2O)18 water morphology and water-methanol (H2O)15(CH3OH)3 clusters in a novel phosphorus functionalized trimeric amino acid host
Kannan Raghuraman,Kavita K. Katti,Leonard J. Barbour,Nagavarakishore Pillarsetty,Charles L. Barnes,Kattesh V. Katti +5 more
TL;DR: The crystal structure analysis of (l)-2 and (d)-2 reveals that the alanine molecules pack to form two-dimensional bilayers running parallel to (001), implying the retention of the hydrogen bonded structure in water despite the accommodation of hydrophobic methanol groups within the supramolecular (H(2)O)(15)(CH(3)OH)(3) framework.
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Affinity-based proteomics reveal cancer-specific networks coordinated by Hsp90
Kamalika Moulick,James H. Ahn,Hongliang Zong,Anna Rodina,Leandro Cerchietti,Gomes-Dagama Erica M,Eloisi Caldas-Lopes,Kristin Beebe,Fabiana Perna,Katerina Hatzi,Ly P. Vu,Xinyang Zhao,Danuta Zatorska,Tony Taldone,Peter Smith-Jones,Mary L. Alpaugh,Steven S. Gross,Nagavarakishore Pillarsetty,Thomas Ku,Jason S. Lewis,Steven M. Larson,Ross L. Levine,Hediye Erdjument-Bromage,Monica L. Guzman,Stephen D. Nimer,Ari Melnick,Len Neckers,Gabriela Chiosis +27 more
TL;DR: This work uses PU-H71 affinity capture to design a proteomic approach that, when combined with bioinformatic pathway analysis, identifies dysregulated signaling networks and key oncoproteins in chronic myeloid leukemia and shows that this method can provide global insights into the biology of individual tumors, including primary patient specimens.
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The epichaperome is an integrated chaperome network that facilitates tumour survival
Anna Rodina,Tai Wang,Pengrong Yan,Erica DaGama Gomes,Mark Dunphy,Nagavarakishore Pillarsetty,John Koren,John F. Gerecitano,Tony Taldone,Hongliang Zong,Eloisi Caldas-Lopes,Mary L. Alpaugh,Adriana D. Corben,Matthew Riolo,Brad Beattie,Christina Pressl,Radu I Peter,Chao Xu,Robert Trondl,Hardik J. Patel,Fumiko Shimizu,Alexander Bolaender,Chenghua Yang,Palak Panchal,Mohammad F. Farooq,Sarah Kishinevsky,Shanu Modi,Oscar Lin,Feixia Chu,Sujata Patil,Hediye Erdjument-Bromage,Pat Zanzonico,Clifford A. Hudis,Lorenz Studer,Gail J. Roboz,Ethel Cesarman,Leandro Cerchietti,Ross L. Levine,Ari Melnick,Steven M. Larson,Jason S. Lewis,Monica L. Guzman,Gabriela Chiosis,Gabriela Chiosis +43 more
TL;DR: It is found that under conditions of stress, such as malignant transformation fuelled by MYC, the chaperome becomes biochemically ‘rewired’ to form a network of stable, survival-facilitating, high-molecular-weight complexes.
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Sustained ERK inhibition maximizes responses of BrafV600E thyroid cancers to radioiodine
James Nagarajah,Mina Le,Jeffrey A. Knauf,Giuseppe Ferrandino,Cristina Montero-Conde,Nagavarakishore Pillarsetty,Alexander Bolaender,Christopher Irwin,Gnana P. Krishnamoorthy,Mahesh Saqcena,Steven M. Larson,Alan L. Ho,Venkatraman E. Seshan,Nobuya Ishii,Nancy Carrasco,Neal Rosen,Wolfgang Weber,James A. Fagin +17 more
TL;DR: It is determined that a critical threshold for inhibition of MAPK signaling is required to optimally restore expression of thyroid differentiation genes in thyroid cells and in mice with BrafV600E-induced thyroid cancer and that this is a promising strategy for the treatment of BRAF-mutant thyroid cancer.
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Monitoring the Efficacy of Adoptively Transferred Prostate Cancer–Targeted Human T Lymphocytes with PET and Bioluminescence Imaging
Konstantin Dobrenkov,Malgorzata Olszewska,Yury Likar,Larissa Shenker,Gertrude Gunset,Shangde Cai,Nagavarakishore Pillarsetty,Hedvig Hricak,Michel Sadelain,Vladimir Ponomarev +9 more
TL;DR: Quantitative noninvasive monitoring of genetically engineered human T lymphocytes by PET provides spatial and temporal information on T-cell trafficking and persistence and may be useful for predicting tumor response and for guiding adoptive T- cell therapy.