Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ
TLDR
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.About:
This article is published in Molecular & Cellular Proteomics.The article was published on 2014-09-01 and is currently open access. It has received 3732 citations till now. The article focuses on the topics: Label-free quantification & Quantitative proteomics.read more
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The Perseus computational platform for comprehensive analysis of (prote)omics data.
Stefka Tyanova,Tikira Temu,Pavel Sinitcyn,Arthur Carlson,Marco Y. Hein,Tamar Geiger,Matthias Mann,Jürgen Cox +7 more
TL;DR: The Perseus software platform was developed to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data and it is anticipated that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
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Tumour exosome integrins determine organotropic metastasis
Ayuko Hoshino,Bruno Costa-Silva,Tang-Long Shen,Gonçalo Rodrigues,Ayako Hashimoto,Milica Tesic Mark,Henrik Molina,Shinji Kohsaka,Angela Di Giannatale,Sophia Ceder,Swarnima Singh,Caitlin Williams,Nadine Soplop,Kunihiro Uryu,Lindsay A. Pharmer,Tari A. King,Linda Bojmar,Alexander E. Davies,Yonathan Ararso,Tuo Zhang,Haiying Zhang,Jonathan M. Hernandez,Joshua Mitchell Weiss,Vanessa D. Dumont-Cole,Kimberly Kramer,Leonard H. Wexler,Aru Narendran,Gary K. Schwartz,John H. Healey,Per Sandström,Knut Jørgen Labori,Elin H. Kure,Paul M. Grandgenett,Michael A. Hollingsworth,Maria de Sousa,Sukwinder Kaur,Maneesh Jain,Kavita Mallya,Surinder K. Batra,William R. Jarnagin,Mary S. Brady,Øystein Fodstad,Volkmar Müller,Klaus Pantel,Andy J. Minn,Mina J. Bissell,Benjamin A. Garcia,Yibin Kang,Yibin Kang,Vinagolu K. Rajasekhar,Cyrus M. Ghajar,Irina Matei,Héctor Peinado,Jacqueline Bromberg,Jacqueline Bromberg,David Lyden +55 more
TL;DR: It is demonstrated that exosomes from mouse and human lung-, liver- and brain-tropic tumour cells fuse preferentially with resident cells at their predicted destination, namely lung fibroblasts and epithelial cells, liver Kupffer cells and brain endothelial cells.
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A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.
David E. Gordon,Gwendolyn M. Jang,Mehdi Bouhaddou,Jiewei Xu,Kirsten Obernier,Kris M. White,Matthew J. O’Meara,Veronica V. Rezelj,Jeffrey Z. Guo,Danielle L. Swaney,Tia A. Tummino,Ruth Hüttenhain,Robyn M. Kaake,Alicia L. Richards,Beril Tutuncuoglu,Helene Foussard,Jyoti Batra,Kelsey M. Haas,Maya Modak,Minkyu Kim,Paige Haas,Benjamin J. Polacco,Hannes Braberg,Jacqueline M. Fabius,Manon Eckhardt,Margaret Soucheray,Melanie J. Bennett,Merve Cakir,Michael McGregor,Qiongyu Li,Bjoern Meyer,Ferdinand Roesch,Thomas Vallet,Alice Mac Kain,Lisa Miorin,Elena Moreno,Zun Zar Chi Naing,Yuan Zhou,Shiming Peng,Ying Shi,Ziyang Zhang,Wenqi Shen,Ilsa T Kirby,James E. Melnyk,John S. Chorba,Kevin Lou,Shizhong Dai,Inigo Barrio-Hernandez,Danish Memon,Claudia Hernandez-Armenta,Jiankun Lyu,Christopher J.P. Mathy,Tina Perica,Kala Bharath Pilla,Sai J. Ganesan,Daniel J. Saltzberg,Rakesh Ramachandran,Xi Liu,Sara Brin Rosenthal,Lorenzo Calviello,Srivats Venkataramanan,Jose Liboy-Lugo,Yizhu Lin,Xi Ping Huang,Yongfeng Liu,Stephanie A. Wankowicz,Markus Bohn,Maliheh Safari,Fatima S. Ugur,Cassandra Koh,Nastaran Sadat Savar,Quang Dinh Tran,Djoshkun Shengjuler,Sabrina J. Fletcher,Michael C. O’Neal,Yiming Cai,Jason C.J. Chang,David J. Broadhurst,Saker Klippsten,Phillip P. Sharp,Nicole A. Wenzell,Duygu Kuzuoğlu-Öztürk,Hao-Yuan Wang,Raphael Trenker,Janet M. Young,Devin A. Cavero,Devin A. Cavero,Joseph Hiatt,Joseph Hiatt,Theodore L. Roth,Ujjwal Rathore,Ujjwal Rathore,Advait Subramanian,Julia Noack,Mathieu Hubert,Robert M. Stroud,Alan D. Frankel,Oren S. Rosenberg,Kliment A. Verba,David A. Agard,Melanie Ott,Michael Emerman,Natalia Jura,Mark von Zastrow,Eric Verdin,Eric Verdin,Alan Ashworth,Olivier Schwartz,Christophe d'Enfert,Shaeri Mukherjee,Matthew P. Jacobson,Harmit S. Malik,Danica Galonić Fujimori,Trey Ideker,Charles S. Craik,Stephen N. Floor,James S. Fraser,John D. Gross,Andrej Sali,Bryan L. Roth,Davide Ruggero,Jack Taunton,Tanja Kortemme,Pedro Beltrao,Marco Vignuzzi,Adolfo García-Sastre,Kevan M. Shokat,Brian K. Shoichet,Nevan J. Krogan +128 more
TL;DR: A human–SARS-CoV-2 protein interaction map highlights cellular processes that are hijacked by the virus and that can be targeted by existing drugs, including inhibitors of mRNA translation and predicted regulators of the sigma receptors.
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The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.
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.
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Mass-spectrometric exploration of proteome structure and function
TL;DR: Powerful mass-spectrometry-based technologies now provide unprecedented insights into the composition, structure, function and control of the proteome, shedding light on complex biological processes and phenotypes.
References
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MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.
Jiirgen Cox,Matthias Mann +1 more
TL;DR: MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data, detects peaks, isotope clusters and stable amino acid isotope–labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space and achieves mass accuracy in the p.p.b. range.
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Mass spectrometry-based proteomics
Ruedi Aebersold,Matthias Mann +1 more
TL;DR: The ability of mass spectrometry to identify and, increasingly, to precisely quantify thousands of proteins from complex samples can be expected to impact broadly on biology and medicine.
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Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.
Shao En Ong,Blagoy Blagoev,Irina Kratchmarova,Dan B. Kristensen,Hanno Steen,Akhilesh Pandey,Matthias Mann +6 more
TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
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