The Human Melanoma Proteome Atlas—Complementing the melanoma transcriptome
| العنوان: | The Human Melanoma Proteome Atlas—Complementing the melanoma transcriptome |
|---|---|
| المؤلفون: | Ethan Berge, Quimin Zhou, Peter Horvatovich, Marie Sjögren, Natália Pinto de Almeida, Erika Velasquez, Matilda Marko-Varga, Madalina Oppermann, Lázaro Betancourt, Jonatan Eriksson, Magdalena Kuras, Jeovanis Gil, Luciana Pizzatti, Yonghyo Kim, Fábio C. S. Nogueira, Indira Pla Parada, Nicole Woldmar, Jimmy Rodriguez Murillo, Viktória Doma, Gilberto B. Domont, István Németh, József Tímár, Sarolta Kárpáti, Leticia Szadai, Runyu Hong, Toshihide Nishimura, Johan Malm, Melinda Rezeli, Håkan Olsson, Charlotte Welinder, A. Marcell Szász, Henrik Lindberg, Uğur Çakır, Krzysztof Pawłowski, Christian Ingvar, Yutaka Sugihara, Elisabet Wieslander, Erik Steinfelder, Tasso Miliotis, Francesco Florindi, Ho Jeong Kwon, Ken Miller, David Fenyö, Peter Horvath, Boram Lee, György Marko-Varga, Bo Baldetorp, Aniel Sanchez, Lotta Lundgren, Henrik Ekedahl, Henriett Oskolas, Dasol Kim, Beáta Szeitz, Roger Appelqvist, Beatrice S. Knudsen, Harubumi Kato, Carina Eriksson |
| المساهمون: | Analytical Biochemistry, Medicinal Chemistry and Bioanalysis (MCB) |
| المصدر: | Clinical and Translational Medicine, 11(7):e451. John Wiley & Sons Ltd. Clinical and Translational Medicine, Vol 11, Iss 7, Pp n/a-n/a (2021) Clinical and Translational Medicine |
| بيانات النشر: | John Wiley & Sons Ltd., 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Proteomics, Proto-Oncogene Proteins B-raf, Medicine (General), Databases, Factual, Proteome, driver mutations, Medicine (miscellaneous), Antineoplastic Agents, Computational biology, Biology, Genome, DNA sequencing, Cell Line, BRAF, Transcriptome, R5-920, Tandem Mass Spectrometry, medicine, Human proteome project, Humans, Melanoma, Gene, Research Articles, Chromatography, High Pressure Liquid, phosphorylation, Blood Proteins, Proteogenomics, medicine.disease, posttranslational‐modification, proteogenomics, Mutation, histopathology, Molecular Medicine, Protein Processing, Post-Translational, acetylation stoichiometry, Research Article, metastatic melanoma |
| الوصف: | The MM500 meta‐study aims to establish a knowledge basis of the tumor proteome to serve as a complement to genome and transcriptome studies. Somatic mutations and their effect on the transcriptome have been extensively characterized in melanoma. However, the effects of these genetic changes on the proteomic landscape and the impact on cellular processes in melanoma remain poorly understood. In this study, the quantitative mass‐spectrometry‐based proteomic analysis is interfaced with pathological tumor characterization, and associated with clinical data. The melanoma proteome landscape, obtained by the analysis of 505 well‐annotated melanoma tumor samples, is defined based on almost 16 000 proteins, including mutated proteoforms of driver genes. More than 50 million MS/MS spectra were analyzed, resulting in approximately 13,6 million peptide spectrum matches (PSMs). Altogether 13 176 protein‐coding genes, represented by 366 172 peptides, in addition to 52 000 phosphorylation sites, and 4 400 acetylation sites were successfully annotated. This data covers 65% and 74% of the predicted and identified human proteome, respectively. A high degree of correlation (Pearson, up to 0.54) with the melanoma transcriptome of the TCGA repository, with an overlap of 12 751 gene products, was found. Mapping of the expressed proteins with quantitation, spatiotemporal localization, mutations, splice isoforms, and PTM variants was proven not to be predicted by genome sequencing alone. The melanoma tumor molecular map was complemented by analysis of blood protein expression, including data on proteins regulated after immunotherapy. By adding these key proteomic pillars, the MM500 study expands the knowledge on melanoma disease. The MM500 meta‐study aims to establish a knowledge basis of the tumor proteome to serve as a complement to genome and transcriptome studies. The melanoma proteome landscape, obtained by the analysis of 505 well‐annotated melanoma tumor samples, is defined based on almost 16 000 proteins, including mutated proteoforms of driver genes. This data covers 65% and 74% of the predicted and identified human proteome, respectively. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2001-1326 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76f69918432edab60386dc0597aff771Test https://doi.org/10.1002/ctm2.451Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....76f69918432edab60386dc0597aff771 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20011326 |
|---|