Exploration of Protein Posttranslational Modification Landscape and Cross Talk with CrossTalkMapper
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Exploration of Protein Posttranslational Modification Landscape and Cross Talk with CrossTalkMapper. / Grimaud, Arthur; Haugaard Holck, Frederik; Buur, Louise Marie; Kirsch, Rebecca; Schwämmle, Veit.
Computational Methods for Predicting Post-Translational Modification Sites. Humana Press, 2022. p. 261-273 (Methods in Molecular Biology, Vol. 2499).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Exploration of Protein Posttranslational Modification Landscape and Cross Talk with CrossTalkMapper
AU - Grimaud, Arthur
AU - Haugaard Holck, Frederik
AU - Buur, Louise Marie
AU - Kirsch, Rebecca
AU - Schwämmle, Veit
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022
Y1 - 2022
N2 - Post-translational modifications (PTMs) of proteins play crucial roles in defining protein function. They often do not occur alone, leading to a large variety of proteoforms that correspond to different combinations of multiple PTMs simultaneously decorating a protein. Changes of these proteoforms can be quantified via middle-down and top-down mass spectrometry experiments where the simultaneous PTM settings are obtained by measuring long peptides or entire proteins. Data from such experiments poses big challenges in identifying relevant features of biological and clinical importance. Generally, multiple data layers need to be considered such as proteoforms, individual PTMs, and PTM types. Therein, visualization methods are a crucial part of data analysis as they provide, if applied correctly, insights into both general behaviors as well as a deep view into fine-grained behavior. Here, we present a workflow to visualize histone proteins and their myriad of PTMs based on different R visualization modules applied to data from quantitative middle-down experiments. The procedure can be adapted to diverse experimental designs and is applicable to different proteins and PTMs.
AB - Post-translational modifications (PTMs) of proteins play crucial roles in defining protein function. They often do not occur alone, leading to a large variety of proteoforms that correspond to different combinations of multiple PTMs simultaneously decorating a protein. Changes of these proteoforms can be quantified via middle-down and top-down mass spectrometry experiments where the simultaneous PTM settings are obtained by measuring long peptides or entire proteins. Data from such experiments poses big challenges in identifying relevant features of biological and clinical importance. Generally, multiple data layers need to be considered such as proteoforms, individual PTMs, and PTM types. Therein, visualization methods are a crucial part of data analysis as they provide, if applied correctly, insights into both general behaviors as well as a deep view into fine-grained behavior. Here, we present a workflow to visualize histone proteins and their myriad of PTMs based on different R visualization modules applied to data from quantitative middle-down experiments. The procedure can be adapted to diverse experimental designs and is applicable to different proteins and PTMs.
KW - Cross talk
KW - Epigenomics
KW - Histones
KW - Middle-down
KW - Posttranslational modifications
U2 - 10.1007/978-1-0716-2317-6_13
DO - 10.1007/978-1-0716-2317-6_13
M3 - Book chapter
C2 - 35696085
AN - SCOPUS:85132890396
SN - 978-1-0716-2316-9
T3 - Methods in Molecular Biology
SP - 261
EP - 273
BT - Computational Methods for Predicting Post-Translational Modification Sites
PB - Humana Press
ER -
ID: 312698799