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Author

Sasi Pillai

Other affiliations: Institute for Systems Biology
Bio: Sasi Pillai is an academic researcher from Applied Biosystems. The author has contributed to research in topics: Functional group & Analyte. The author has an hindex of 5, co-authored 10 publications receiving 4298 citations. Previous affiliations of Sasi Pillai include Institute for Systems Biology.

Papers
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Journal ArticleDOI
TL;DR: It is found that inactivation of Upf1p and Xrn1p causes common as well as unique effects on protein expression, and the use of 4-fold multiplexing to enable relative protein measurements simultaneously with determination of absolute levels of a target protein using synthetic isobaric peptide standards.

4,411 citations

Patent
05 Jan 2004
TL;DR: In this article, the authors present a method for the preparation of isotopically enriched N-substituted piperazine acetic acids, which pertains to methods for the extraction of PPIAs.
Abstract: In some embodiments, this invention pertains to isotopically enriched N-substituted piperazine acetic acids. In some embodiments, this invention pertains to methods for the preparation of isotopically enriched N-substituted piperazine acetic acids.

29 citations

Patent
01 Jun 2010
TL;DR: In this article, the relative quantitation, absolute quantification, or both, of ketone or aldehyde compounds including, but not limited to, analytes comprising steroids or ketosteroids.
Abstract: Labeling reagents, sets of labeling reagents, and labeling techniques are provided for the relative quantitation, absolute quantitation, or both, of ketone or aldehyde compounds including, but not limited to, analytes comprising steroids or ketosteroids. The analytes can be medical or pharmaceutical compounds in biological samples. Methods for labeling, analyzing, and quantifying ketone or aldehyde compounds are also disclosed as are methods that also use mass spectrometry.

13 citations

Patent
14 May 2002
TL;DR: In this paper, a solid support coupled to a chemical group comprising a cleavable functional group, one or more functional groups, and a reactive group for labeling a molecule is presented.
Abstract: The invention provides methods for labeling a molecule by contacting a sample molecule with a solid support coupled to a chemical group comprising a cleavable functional group, one or more functional groups, and a reactive group for the sample molecule, under conditions allowing the sample molecule to covalently bind to the reactive group; and cleaving the cleavable functional group, thereby releasing the sample molecule comprising the one or more functional groups, which can be a tag. The invention also provides a solid support covalently coupled to a chemical group comprising a cleavable functional group, a mass spectrometry tag and a reactive group for covalently attaching a sample molecule, wherein the cleavable functional group, the tag and the reactive group are positioned relative to each other to allow transfer of the tag to the sample molecule upon cleavage of the cleavable functional group.

10 citations

Patent
01 Jun 2010
TL;DR: In this paper, the relative quantitation, absolute quantification, or both, of ketone or aldehyde compounds including, but not limited to, analytes comprising steroids or ketosteroids.
Abstract: Labeling reagents, sets of labeling reagents, and labeling techniques are provided for the relative quantitation, absolute quantitation, or both, of ketone or aldehyde compounds including, but not limited to, analytes comprising steroids or ketosteroids. The analytes can be medical or pharmaceutical compounds in biological samples. Methods for labeling, analyzing, and quantifying ketone or aldehyde compounds are also disclosed as are methods that also use mass spectrometry.

9 citations


Cited by
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Journal ArticleDOI
TL;DR: A new intensity determination and normalization procedure called MaxLFQ is developed that is fully compatible with any peptide or protein separation prior to LC-MS analysis, which accurately detects the mixing ratio over the entire protein expression range, with greater precision for abundant proteins.

3,732 citations

Journal ArticleDOI
TL;DR: Current understanding of the major factors regulating protein expression is summarized to demonstrate a substantial role for regulatory processes occurring after mRNA is made in controlling steady-state protein abundances.
Abstract: Recent advances in next-generation DNA sequencing and proteomics provide an unprecedented ability to survey mRNA and protein abundances. Such proteome-wide surveys are illuminating the extent to which different aspects of gene expression help to regulate cellular protein abundances. Current data demonstrate a substantial role for regulatory processes occurring after mRNA is made - that is, post-transcriptional, translational and protein degradation regulation - in controlling steady-state protein abundances. Intriguing observations are also emerging in relation to cells following perturbation, single-cell studies and the apparent evolutionary conservation of protein and mRNA abundances. Here, we summarize current understanding of the major factors regulating protein expression.

3,308 citations

Journal ArticleDOI
TL;DR: An updated protocol covering the most important basic computational workflows for mass-spectrometry-based proteomics data analysis, including those designed for quantitative label-free proteomics, MS1-level labeling and isobaric labeling techniques is presented.
Abstract: MaxQuant is one of the most frequently used platforms for mass-spectrometry (MS)-based proteomics data analysis Since its first release in 2008, it has grown substantially in functionality and can be used in conjunction with more MS platforms Here we present an updated protocol covering the most important basic computational workflows, including those designed for quantitative label-free proteomics, MS1-level labeling and isobaric labeling techniques This protocol presents a complete description of the parameters used in MaxQuant, as well as of the configuration options of its integrated search engine, Andromeda This protocol update describes an adaptation of an existing protocol that substantially modifies the technique Important concepts of shotgun proteomics and their implementation in MaxQuant are briefly reviewed, including different quantification strategies and the control of false-discovery rates (FDRs), as well as the analysis of post-translational modifications (PTMs) The MaxQuant output tables, which contain information about quantification of proteins and PTMs, are explained in detail Furthermore, we provide a short version of the workflow that is applicable to data sets with simple and standard experimental designs The MaxQuant algorithms are efficiently parallelized on multiple processors and scale well from desktop computers to servers with many cores The software is written in C# and is freely available at http://wwwmaxquantorg

2,811 citations

Journal ArticleDOI
21 Apr 2016-Cell
TL;DR: It is concluded that transcript levels by themselves are not sufficient to predict protein levels in many scenarios and to thus explain genotype-phenotype relationships and that high-quality data quantifying different levels of gene expression are indispensable for the complete understanding of biological processes.

1,996 citations

Journal ArticleDOI
14 Apr 2006-Science
TL;DR: Recent advances in mass spectrometry instrumentation are reviewed in the context of current and emerging research strategies in protein science.
Abstract: Mass spectrometry is a central analytical technique for protein research and for the study of biomolecules in general. Driven by the need to identify, characterize, and quantify proteins at ever increasing sensitivity and in ever more complex samples, a wide range of new mass spectrometry-based analytical platforms and experimental strategies have emerged. Here we review recent advances in mass spectrometry instrumentation in the context of current and emerging research strategies in protein science.

1,992 citations