Tejas Gandhi

发表

Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results*

Oliver M. Bernhardt, Oliver M Bernhardt, Roland Bruderer, 2017, Molecular & Cellular Proteomics.

Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance

Loïc Dayon, Roland Bruderer, Oliver M. Bernhardt, 2019, Molecular & Cellular Proteomics.

Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation

Tejas Gandhi, L. Reiter, P. Germain, 2020, Molecular systems biology.

Plasma Proteomics for Epidemiology: Increasing Throughput With Standard-Flow Rates

Lukas Reiter, Manuel Mayr, Raimund Pechlaner, 2017, Circulation. Cardiovascular genetics.

Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues*

Oliver M. Bernhardt, Saša M. Miladinović, Roland Bruderer, 2015, Molecular & Cellular Proteomics.

Revealing dynamic protein acetylation across subcellular compartments.

Oliver M. Bernhardt, Tejas Gandhi, L. Reiter, 2020, Journal of proteome research.

A novel algorithm for protein profiling based on cross-run correlations in SWATH-MS data implemented in Spectronaut

Oliver M. Bernhardt, Saša M. Miladinović, Roland Bruderer, 2014 .

Analysis of post translational modifications using DIA with high resolution MS1 and high resolution retention time prediction

Oliver M. Bernhardt, Roland Bruderer, Tejas Gandhi, 2015 .

Optimized spectral library generation for HRM/DIA/SWATH as implemented within spectronaut

Oliver M. Bernhardt, Roland Bruderer, Tejas Gandhi, 2015 .

Single shot deep DIA methods with optimal coverage, reproducibility and quantification precision

Oliver M. Bernhardt, Roland Bruderer, Tejas Gandhi, 2016 .

Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries

Oliver M. Bernhardt, Tejas Gandhi, Lukas Reiter, 2019, bioRxiv.

WITHDRAWN: Heralds of parallel MS: Data-independent acquisition surpassing sequential identification of data dependent acquisition in proteomics.

Roland Bruderer, Oliver M. Bernhardt, Lukas Reiter, 2017, Molecular & cellular proteomics : MCP.

Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance.

Oliver M. Bernhardt, A. Valsesia, A. Astrup, 2019, Molecular & cellular proteomics : MCP.

Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy.

Roland Bruderer, Oliver M. Bernhardt, Lukas Reiter, 2019, Molecular omics.

Revealing dynamic protein acetylation across subcellular compartments.

Oliver M. Bernhardt, Tejas Gandhi, L. Reiter, 2018, Journal of proteome research.

Quantifying dynamic protein acetylation using quantitative stoichiometry

Oliver M. Bernhardt, Tejas Gandhi, L. Reiter, 2018, bioRxiv.

Substantial Downregulation of Mitochondrial and Peroxisomal Proteins during Acute Kidney Injury revealed by Data-Independent Acquisition Proteomics

Oliver M. Bernhardt, Tejas Gandhi, L. Reiter, 2023, bioRxiv.

High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation

Roland Bruderer, Oliver M. Bernhardt, Tejas Gandhi, 2016, Proteomics.

Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries

Oliver M. Bernhardt, Dorte B. Bekker-Jensen, Alexander Hogrebe, 2019, Nature Communications.

Effect of iTRAQ labeling on the relative abundance of peptide fragment ions produced by MALDI-MS/MS.

Tejas Gandhi, R. Breitling, B. Poolman, 2012, Journal of proteome research.

General guidelines for validation of decoy models for HRM/DIA/SWATH as exemplified using spectronaut

Oliver M. Bernhardt, Tejas Gandhi, L. Reiter, 2015 .

A novel algorithm for protein profiling based on cross-run correlations implemented in Spectronaut

Roland Bruderer, Oliver M. Bernhardt, Lukas Reiter, 2012 .

Revealing dynamic protein acetylation across subcellular compartments.

Oliver M. Bernhardt, Tejas Gandhi, L. Reiter, 2020, Journal of proteome research.