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The Proteomic Analysis of Cancer-Related Alterations in the Human Unfoldome.
Paromov, Victor; Uversky, Vladimir N; Cooley, Ayorinde; Liburd, Lincoln E; Mukherjee, Shyamali; Na, Insung; Dayhoff, Guy W; Pratap, Siddharth.
Afiliación
  • Paromov V; Meharry Proteomics Core, RCMI Research Capacity Core, School of Medicine, Meharry Medical College, Nashville, TN 37208, USA.
  • Uversky VN; Department of Molecular Medicine, USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33613, USA.
  • Cooley A; Meharry Bioinformatics Core, Department of Microbiology, Immunology and Physiology, School of Medicine, Meharry Medical College, Nashville, TN 37208, USA.
  • Liburd LE; Department of Biochemistry, Cancer Biology, Neuroscience & Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN 37208, USA.
  • Mukherjee S; Department of Biochemistry, Cancer Biology, Neuroscience & Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN 37208, USA.
  • Na I; Department of Molecular Medicine, USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33613, USA.
  • Dayhoff GW; Department of Chemistry, College of Art and Sciences, University of South Florida, Tampa, FL 33613, USA.
  • Pratap S; Meharry Proteomics Core, RCMI Research Capacity Core, School of Medicine, Meharry Medical College, Nashville, TN 37208, USA.
Int J Mol Sci ; 25(3)2024 Jan 26.
Article en En | MEDLINE | ID: mdl-38338831
ABSTRACT
Many proteins lack stable 3D structures. These intrinsically disordered proteins (IDPs) or hybrid proteins containing ordered domains with intrinsically disordered protein regions (IDPRs) often carry out regulatory functions related to molecular recognition and signal transduction. IDPs/IDPRs constitute a substantial portion of the human proteome and are termed "the unfoldome". Herein, we probe the human breast cancer unfoldome and investigate relations between IDPs and key disease genes and pathways. We utilized bottom-up proteomics, MudPIT (Multidimensional Protein Identification Technology), to profile differentially expressed IDPs in human normal (MCF-10A) and breast cancer (BT-549) cell lines. Overall, we identified 2271 protein groups in the unfoldome of normal and cancer proteomes, with 148 IDPs found to be significantly differentially expressed in cancer cells. Further analysis produced annotations of 140 IDPs, which were then classified to GO (Gene Ontology) categories and pathways. In total, 65% (91 of 140) IDPs were related to various diseases, and 20% (28 of 140) mapped to cancer terms. A substantial portion of the differentially expressed IDPs contained disordered regions, confirmed by in silico characterization. Overall, our analyses suggest high levels of interactivity in the human cancer unfoldome and a prevalence of moderately and highly disordered proteins in the network.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Proteínas Intrínsecamente Desordenadas Tipo de estudio: Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Int J Mol Sci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Proteínas Intrínsecamente Desordenadas Tipo de estudio: Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Int J Mol Sci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos