Cargando…

Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome

Specific protein–protein interactions are central to all processes that underlie cell physiology. Numerous studies have together identified hundreds of thousands of human protein–protein interactions. However, many interactions remain to be discovered, and low affinity, conditional, and cell type‐sp...

Descripción completa

Detalles Bibliográficos
Autores principales: Benz, Caroline, Ali, Muhammad, Krystkowiak, Izabella, Simonetti, Leandro, Sayadi, Ahmed, Mihalic, Filip, Kliche, Johanna, Andersson, Eva, Jemth, Per, Davey, Norman E, Ivarsson, Ylva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769072/
https://www.ncbi.nlm.nih.gov/pubmed/35044719
http://dx.doi.org/10.15252/msb.202110584
_version_ 1784635047242891264
author Benz, Caroline
Ali, Muhammad
Krystkowiak, Izabella
Simonetti, Leandro
Sayadi, Ahmed
Mihalic, Filip
Kliche, Johanna
Andersson, Eva
Jemth, Per
Davey, Norman E
Ivarsson, Ylva
author_facet Benz, Caroline
Ali, Muhammad
Krystkowiak, Izabella
Simonetti, Leandro
Sayadi, Ahmed
Mihalic, Filip
Kliche, Johanna
Andersson, Eva
Jemth, Per
Davey, Norman E
Ivarsson, Ylva
author_sort Benz, Caroline
collection PubMed
description Specific protein–protein interactions are central to all processes that underlie cell physiology. Numerous studies have together identified hundreds of thousands of human protein–protein interactions. However, many interactions remain to be discovered, and low affinity, conditional, and cell type‐specific interactions are likely to be disproportionately underrepresented. Here, we describe an optimized proteomic peptide‐phage display library that tiles all disordered regions of the human proteome and allows the screening of ~ 1,000,000 overlapping peptides in a single binding assay. We define guidelines for processing, filtering, and ranking the results and provide PepTools, a toolkit to annotate the identified hits. We uncovered >2,000 interaction pairs for 35 known short linear motif (SLiM)‐binding domains and confirmed the quality of the produced data by complementary biophysical or cell‐based assays. Finally, we show how the amino acid resolution‐binding site information can be used to pinpoint functionally important disease mutations and phosphorylation events in intrinsically disordered regions of the proteome. The optimized human disorderome library paired with PepTools represents a powerful pipeline for unbiased proteome‐wide discovery of SLiM‐based interactions.
format Online
Article
Text
id pubmed-8769072
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-87690722022-02-01 Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome Benz, Caroline Ali, Muhammad Krystkowiak, Izabella Simonetti, Leandro Sayadi, Ahmed Mihalic, Filip Kliche, Johanna Andersson, Eva Jemth, Per Davey, Norman E Ivarsson, Ylva Mol Syst Biol Articles Specific protein–protein interactions are central to all processes that underlie cell physiology. Numerous studies have together identified hundreds of thousands of human protein–protein interactions. However, many interactions remain to be discovered, and low affinity, conditional, and cell type‐specific interactions are likely to be disproportionately underrepresented. Here, we describe an optimized proteomic peptide‐phage display library that tiles all disordered regions of the human proteome and allows the screening of ~ 1,000,000 overlapping peptides in a single binding assay. We define guidelines for processing, filtering, and ranking the results and provide PepTools, a toolkit to annotate the identified hits. We uncovered >2,000 interaction pairs for 35 known short linear motif (SLiM)‐binding domains and confirmed the quality of the produced data by complementary biophysical or cell‐based assays. Finally, we show how the amino acid resolution‐binding site information can be used to pinpoint functionally important disease mutations and phosphorylation events in intrinsically disordered regions of the proteome. The optimized human disorderome library paired with PepTools represents a powerful pipeline for unbiased proteome‐wide discovery of SLiM‐based interactions. John Wiley and Sons Inc. 2022-01-19 /pmc/articles/PMC8769072/ /pubmed/35044719 http://dx.doi.org/10.15252/msb.202110584 Text en © 2022 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Benz, Caroline
Ali, Muhammad
Krystkowiak, Izabella
Simonetti, Leandro
Sayadi, Ahmed
Mihalic, Filip
Kliche, Johanna
Andersson, Eva
Jemth, Per
Davey, Norman E
Ivarsson, Ylva
Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
title Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
title_full Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
title_fullStr Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
title_full_unstemmed Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
title_short Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
title_sort proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769072/
https://www.ncbi.nlm.nih.gov/pubmed/35044719
http://dx.doi.org/10.15252/msb.202110584
work_keys_str_mv AT benzcaroline proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT alimuhammad proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT krystkowiakizabella proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT simonettileandro proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT sayadiahmed proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT mihalicfilip proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT klichejohanna proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT anderssoneva proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT jemthper proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT daveynormane proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome
AT ivarssonylva proteomescalemappingofbindingsitesintheunstructuredregionsofthehumanproteome