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CancerPDF: A repository of cancer-associated peptidome found in human biofluids

CancerPDF (Cancer Peptidome Database of bioFluids) is a comprehensive database of endogenous peptides detected in the human biofluids. The peptidome patterns reflect the synthesis, processing and degradation of proteins in the tissue environment and therefore can act as a gold mine to probe the pept...

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Autores principales: Bhalla, Sherry, Verma, Ruchi, Kaur, Harpreet, Kumar, Rajesh, Usmani, Salman Sadullah, Sharma, Suresh, Raghava, Gajendra P. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431423/
https://www.ncbi.nlm.nih.gov/pubmed/28473704
http://dx.doi.org/10.1038/s41598-017-01633-3
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author Bhalla, Sherry
Verma, Ruchi
Kaur, Harpreet
Kumar, Rajesh
Usmani, Salman Sadullah
Sharma, Suresh
Raghava, Gajendra P. S.
author_facet Bhalla, Sherry
Verma, Ruchi
Kaur, Harpreet
Kumar, Rajesh
Usmani, Salman Sadullah
Sharma, Suresh
Raghava, Gajendra P. S.
author_sort Bhalla, Sherry
collection PubMed
description CancerPDF (Cancer Peptidome Database of bioFluids) is a comprehensive database of endogenous peptides detected in the human biofluids. The peptidome patterns reflect the synthesis, processing and degradation of proteins in the tissue environment and therefore can act as a gold mine to probe the peptide-based cancer biomarkers. Although an extensive data on cancer peptidome has been generated in the recent years, lack of a comprehensive resource restrains the facility to query the growing community knowledge. We have developed the cancer peptidome resource named CancerPDF, to collect and compile all the endogenous peptides isolated from human biofluids in various cancer profiling studies. CancerPDF has 14,367 entries with 9,692 unique peptide sequences corresponding to 2,230 unique precursor proteins from 56 high-throughput studies for ~27 cancer conditions. We have provided an interactive interface to query the endogenous peptides along with the primary information such as m/z, precursor protein, the type of cancer and its regulation status in cancer. To add-on, many web-based tools have been incorporated, which comprise of search, browse and similarity identification modules. We consider that the CancerPDF will be an invaluable resource to unwind the potential of peptidome-based cancer biomarkers. The CancerPDF is available at the web address http://crdd.osdd.net/raghava/cancerpdf/.
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spelling pubmed-54314232017-05-16 CancerPDF: A repository of cancer-associated peptidome found in human biofluids Bhalla, Sherry Verma, Ruchi Kaur, Harpreet Kumar, Rajesh Usmani, Salman Sadullah Sharma, Suresh Raghava, Gajendra P. S. Sci Rep Article CancerPDF (Cancer Peptidome Database of bioFluids) is a comprehensive database of endogenous peptides detected in the human biofluids. The peptidome patterns reflect the synthesis, processing and degradation of proteins in the tissue environment and therefore can act as a gold mine to probe the peptide-based cancer biomarkers. Although an extensive data on cancer peptidome has been generated in the recent years, lack of a comprehensive resource restrains the facility to query the growing community knowledge. We have developed the cancer peptidome resource named CancerPDF, to collect and compile all the endogenous peptides isolated from human biofluids in various cancer profiling studies. CancerPDF has 14,367 entries with 9,692 unique peptide sequences corresponding to 2,230 unique precursor proteins from 56 high-throughput studies for ~27 cancer conditions. We have provided an interactive interface to query the endogenous peptides along with the primary information such as m/z, precursor protein, the type of cancer and its regulation status in cancer. To add-on, many web-based tools have been incorporated, which comprise of search, browse and similarity identification modules. We consider that the CancerPDF will be an invaluable resource to unwind the potential of peptidome-based cancer biomarkers. The CancerPDF is available at the web address http://crdd.osdd.net/raghava/cancerpdf/. Nature Publishing Group UK 2017-05-04 /pmc/articles/PMC5431423/ /pubmed/28473704 http://dx.doi.org/10.1038/s41598-017-01633-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bhalla, Sherry
Verma, Ruchi
Kaur, Harpreet
Kumar, Rajesh
Usmani, Salman Sadullah
Sharma, Suresh
Raghava, Gajendra P. S.
CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_full CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_fullStr CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_full_unstemmed CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_short CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_sort cancerpdf: a repository of cancer-associated peptidome found in human biofluids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431423/
https://www.ncbi.nlm.nih.gov/pubmed/28473704
http://dx.doi.org/10.1038/s41598-017-01633-3
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