Cargando…

Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia

Inappropriate localization of proteins can interfere with normal cellular function and drive tumor development. To understand how this contributes to the development of acute myeloid leukemia (AML), we compared the nuclear proteome and transcriptome of AML blasts with normal human CD34(+) cells. Ana...

Descripción completa

Detalles Bibliográficos
Autores principales: Alanazi, Bader, Munje, Chinmay R., Rastogi, Namrata, Williamson, Andrew J. K., Taylor, Samuel, Hole, Paul S., Hodges, Marie, Doyle, Michelle, Baker, Sarah, Gilkes, Amanda F., Knapper, Steven, Pierce, Andrew, Whetton, Anthony D., Darley, Richard L., Tonks, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995695/
https://www.ncbi.nlm.nih.gov/pubmed/31611628
http://dx.doi.org/10.1038/s41375-019-0596-4
_version_ 1783493422395424768
author Alanazi, Bader
Munje, Chinmay R.
Rastogi, Namrata
Williamson, Andrew J. K.
Taylor, Samuel
Hole, Paul S.
Hodges, Marie
Doyle, Michelle
Baker, Sarah
Gilkes, Amanda F.
Knapper, Steven
Pierce, Andrew
Whetton, Anthony D.
Darley, Richard L.
Tonks, Alex
author_facet Alanazi, Bader
Munje, Chinmay R.
Rastogi, Namrata
Williamson, Andrew J. K.
Taylor, Samuel
Hole, Paul S.
Hodges, Marie
Doyle, Michelle
Baker, Sarah
Gilkes, Amanda F.
Knapper, Steven
Pierce, Andrew
Whetton, Anthony D.
Darley, Richard L.
Tonks, Alex
author_sort Alanazi, Bader
collection PubMed
description Inappropriate localization of proteins can interfere with normal cellular function and drive tumor development. To understand how this contributes to the development of acute myeloid leukemia (AML), we compared the nuclear proteome and transcriptome of AML blasts with normal human CD34(+) cells. Analysis of the proteome identified networks and processes that significantly affected transcription regulation including misexpression of 11 transcription factors with seven proteins not previously implicated in AML. Transcriptome analysis identified changes in 40 transcription factors but none of these were predictive of changes at the protein level. The highest differentially expressed protein in AML nuclei compared with normal CD34(+) nuclei (not previously implicated in AML) was S100A4. In an extended cohort, we found that over-expression of nuclear S100A4 was highly prevalent in AML (83%; 20/24 AML patients). Knock down of S100A4 in AML cell lines strongly impacted their survival whilst normal hemopoietic stem progenitor cells were unaffected. These data are the first analysis of the nuclear proteome in AML and have identified changes in transcription factor expression or regulation of transcription that would not have been seen at the mRNA level. These data also suggest that S100A4 is essential for AML survival and could be a therapeutic target in AML.
format Online
Article
Text
id pubmed-6995695
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-69956952020-02-02 Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia Alanazi, Bader Munje, Chinmay R. Rastogi, Namrata Williamson, Andrew J. K. Taylor, Samuel Hole, Paul S. Hodges, Marie Doyle, Michelle Baker, Sarah Gilkes, Amanda F. Knapper, Steven Pierce, Andrew Whetton, Anthony D. Darley, Richard L. Tonks, Alex Leukemia Article Inappropriate localization of proteins can interfere with normal cellular function and drive tumor development. To understand how this contributes to the development of acute myeloid leukemia (AML), we compared the nuclear proteome and transcriptome of AML blasts with normal human CD34(+) cells. Analysis of the proteome identified networks and processes that significantly affected transcription regulation including misexpression of 11 transcription factors with seven proteins not previously implicated in AML. Transcriptome analysis identified changes in 40 transcription factors but none of these were predictive of changes at the protein level. The highest differentially expressed protein in AML nuclei compared with normal CD34(+) nuclei (not previously implicated in AML) was S100A4. In an extended cohort, we found that over-expression of nuclear S100A4 was highly prevalent in AML (83%; 20/24 AML patients). Knock down of S100A4 in AML cell lines strongly impacted their survival whilst normal hemopoietic stem progenitor cells were unaffected. These data are the first analysis of the nuclear proteome in AML and have identified changes in transcription factor expression or regulation of transcription that would not have been seen at the mRNA level. These data also suggest that S100A4 is essential for AML survival and could be a therapeutic target in AML. Nature Publishing Group UK 2019-10-14 2020 /pmc/articles/PMC6995695/ /pubmed/31611628 http://dx.doi.org/10.1038/s41375-019-0596-4 Text en © The Author(s) 2019 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
Alanazi, Bader
Munje, Chinmay R.
Rastogi, Namrata
Williamson, Andrew J. K.
Taylor, Samuel
Hole, Paul S.
Hodges, Marie
Doyle, Michelle
Baker, Sarah
Gilkes, Amanda F.
Knapper, Steven
Pierce, Andrew
Whetton, Anthony D.
Darley, Richard L.
Tonks, Alex
Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia
title Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia
title_full Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia
title_fullStr Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia
title_full_unstemmed Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia
title_short Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia
title_sort integrated nuclear proteomics and transcriptomics identifies s100a4 as a therapeutic target in acute myeloid leukemia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995695/
https://www.ncbi.nlm.nih.gov/pubmed/31611628
http://dx.doi.org/10.1038/s41375-019-0596-4
work_keys_str_mv AT alanazibader integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT munjechinmayr integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT rastoginamrata integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT williamsonandrewjk integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT taylorsamuel integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT holepauls integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT hodgesmarie integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT doylemichelle integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT bakersarah integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT gilkesamandaf integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT knappersteven integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT pierceandrew integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT whettonanthonyd integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT darleyrichardl integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia
AT tonksalex integratednuclearproteomicsandtranscriptomicsidentifiess100a4asatherapeutictargetinacutemyeloidleukemia