S. Bandhakavi

发表

Flexible and Accessible Workflows for Improved Proteogenomic Analysis Using the Galaxy Framework

James E. Johnson, Lloyd M. Smith, P. Jagtap, 2014, Journal of proteome research.

Use of machine learning to predict hypertension-related complication outcomes of varying severity

D. Šálek, Doreen Salek, Z. Liu, 2020, medRxiv.

Real world hypertension treatment patterns analysis identifies putative gaps and risk-associated patterns

Z. Liu, J. McCammon, S. Bandhakavi, 2020, medRxiv.

Proteomic mapping of 4-hydroxynonenal protein modification sites by solid-phase hydrazide chemistry and mass spectrometry.

T. Griffin, Hongwei Xie, S. Bandhakavi, 2007, Analytical chemistry.

In-gel peptide IEF sample preparation for LC/MS analysis.

A. Paulus, S. Bandhakavi, T. Berkelman, 2015, Methods in molecular biology.

Use of the PROTEAN ® i 12 TM IEF System for In-Gel Peptide Fractionation Prior to LC-MS and Comparison with Off-Gel Fractionation

A. Paulus, Annett Hahn-Windgassen, S. Bandhakavi, 2011 .

A Positive Feedback Loop between Protein Kinase CKII and Cdc37 Promotes the Activity of Multiple Protein Kinases*

S. Bandhakavi, R. O. McCann, C. Glover, 2003, The Journal of Biological Chemistry.

Evaluating preparative isoelectric focusing of complex peptide mixtures for tandem mass spectrometry-based proteomics: a case study in profiling chromatin-enriched subcellular fractions in Saccharomyces cerevisiae.

T. Griffin, Hongwei Xie, S. Bandhakavi, 2005, Analytical Chemistry.

A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva.

T. Griffin, Susan K. Van Riper, Getiria Onsongo, 2009, Journal of proteome research.

Dynamic range compression: a solution for proteomic biomarker discovery?

T. Griffin, S. Bandhakavi, 2011, Bioanalysis.

Quantitative Nuclear Proteomics Identifies mTOR Regulation of DNA Damage Response*

T. Griffin, Hongwei Xie, Do-Hyung Kim, 2009, Molecular & Cellular Proteomics.

Insulin signalling to mTOR mediated by the Akt/PKB substrate PRAS40

Timothy J. Griffin, T. Griffin, Do-Hyung Kim, 2007, Nature Cell Biology.

PRR5, a Novel Component of mTOR Complex 2, Regulates Platelet-derived Growth Factor Receptor β Expression and Signaling*

T. Griffin, Do-Hyung Kim, Dong-Hwan Kim, 2007, Journal of Biological Chemistry.

Large-scale phosphoproteomics analysis of whole saliva reveals a distinct phosphorylation pattern.

Timothy J Griffin, Thomas McGowan, T. Griffin, 2011, Journal of proteome research.

Caenorhabditis elegans OSR-1 Regulates Behavioral and Physiological Responses to Hyperosmotic Environments

R. Morimoto, S. Bandhakavi, G. Beitel, 2004, Genetics.

Hsf1 Activation Inhibits Rapamycin Resistance and TOR Signaling in Yeast Revealed by Combined Proteomic and Genetic Analysis

T. Griffin, Hongwei Xie, Do-Hyung Kim, 2008, PloS one.

Deep metaproteomic analysis of human salivary supernatant

Timothy J Griffin, Thomas McGowan, Pratik Jagtap, 2012, Proteomics.

A global view of CK2 function and regulation

S. Bandhakavi, C. Glover, D. Hanna, 2005, Molecular and Cellular Biochemistry.

Advancing mammalian cell culture engineering using genome-scale technologies.

Timothy J Griffin, Wei-Shou Hu, Hongwei Xie, 2007, Trends in biotechnology.

Hsf 1 Activation Inhibits Rapamycin Resistance and TOR Signaling in Yeast Revealed by Combined Proteomic and Genetic Analysis

T. Griffin, Hongwei Xie, Do-Hyung Kim, 2012 .

Hexapeptide libraries for enhanced protein PTM identification and relative abundance profiling in whole human saliva.

Timothy J Griffin, John V Carlis, J. Carlis, 2011, Journal of proteome research.

Three-dimensional peptide fractionation for highly sensitive nanoscale LC-based shotgun proteomic analysis of complex protein mixtures.

T. Griffin, Hongwei Xie, S. Bandhakavi, 2011, Methods in molecular biology.

Genetic interactions among ZDS1,2, CDC37, and protein kinase CK2 in Saccharomyces cerevisiae

S. Bandhakavi, C. Glover, D. Hanna, 2003, FEBS letters.

Performance of preclinical models in predicting drug-induced liver injury in humans: a systematic review

G. Vist, Minjun Chen, P. Pound, 2021, Scientific Reports.

Workflow for analysis of high mass accuracy salivary data set using MaxQuant and ProteinPilot search algorithm

John Chilton, Thomas McGowan, Pratik Jagtap, 2012, Proteomics.

Population risk stratification for health systems via accretive predictive modeling

Z. Liu, S. Bandhakavi, F. Rahmanian, 2021, medRxiv.

Preparative peptide isoelectric focusing as a tool for improving the identification of lysine-acetylated peptides from complex mixtures.

T. Griffin, Hongwei Xie, S. Bandhakavi, 2007, Journal of proteome research.

iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer.

Timothy J Griffin, Hongwei Xie, Jonathan Popko, 2007, Journal of proteome research.

2-D Western blotting for evaluation of antibodies developed for detection of host cell protein.

S. Bandhakavi, A. Harbers, T. Berkelman, 2015, Methods in molecular biology.

Evidence-based methodology for identifying drugs with potential toxicities to the liver using US EPA ToxCast data set

H. Dirven, S. Bandhakavi, K. Tsaioun, 2018 .

Novel In Situ Collection of Tumor Interstitial Fluid from a Head and Neck Squamous Carcinoma Reveals a Unique Proteome with Diagnostic Potential

P. Jagtap, T. Griffin, Thomas McGowan, 2010, Clinical Proteomics.

Population level risk stratification of hypertensive patients by predictive modeling

Z. Liu, J. McCammon, S. Bandhakavi, 2021, medRxiv.