Literature DB >> 33714970

Proteomic/transcriptomic analysis of erythropoiesis.

Marjorie Brand1,2, Jeffrey A Ranish3.   

Abstract

PURPOSE OF REVIEW: Erythropoiesis is a hierarchical process by which hematopoietic stem cells give rise to red blood cells through gradual cell fate restriction and maturation. Deciphering this process requires the establishment of dynamic gene regulatory networks (GRNs) that predict the response of hematopoietic cells to signals from the environment. Although GRNs have historically been derived from transcriptomic data, recent proteomic studies have revealed a major role for posttranscriptional mechanisms in regulating gene expression during erythropoiesis. These new findings highlight the need to integrate proteomic data into GRNs for a refined understanding of erythropoiesis. RECENT
FINDINGS: Here, we review recent proteomic studies that have furthered our understanding of erythropoiesis with a focus on quantitative mass spectrometry approaches to measure the abundance of transcription factors and cofactors during differentiation. Furthermore, we highlight challenges that remain in integrating transcriptomic, proteomic, and other omics data into a predictive model of erythropoiesis, and discuss the future prospect of single-cell proteomics.
SUMMARY: Recent proteomic studies have considerably expanded our knowledge of erythropoiesis beyond the traditional transcriptomic-centric perspective. These findings have both opened up new avenues of research to increase our understanding of erythroid differentiation, while at the same time presenting new challenges in integrating multiple layers of information into a comprehensive gene regulatory model.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33714970      PMCID: PMC8284871          DOI: 10.1097/MOH.0000000000000647

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.284


  61 in total

1.  Isotope-labeled protein standards: toward absolute quantitative proteomics.

Authors:  Virginie Brun; Alain Dupuis; Annie Adrait; Marlène Marcellin; Damien Thomas; Magali Court; François Vandenesch; Jérôme Garin
Journal:  Mol Cell Proteomics       Date:  2007-09-11       Impact factor: 5.911

2.  A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.

Authors:  Brian K Erickson; Christopher M Rose; Craig R Braun; Alison R Erickson; Jeffrey Knott; Graeme C McAlister; Martin Wühr; Joao A Paulo; Robert A Everley; Steven P Gygi
Journal:  Mol Cell       Date:  2017-01-05       Impact factor: 17.970

3.  Comparison of the Proteome of Adult and Cord Erythroid Cells, and Changes in the Proteome Following Reticulocyte Maturation.

Authors:  Marieangela C Wilson; Kongtana Trakarnsanga; Kate J Heesom; Nicola Cogan; Carole Green; Ashley M Toye; Steve F Parsons; David J Anstee; Jan Frayne
Journal:  Mol Cell Proteomics       Date:  2016-03-22       Impact factor: 5.911

4.  Steroid resistance in Diamond Blackfan anemia associates with p57Kip2 dysregulation in erythroid progenitors.

Authors:  Ryan J Ashley; Hongxia Yan; Nan Wang; John Hale; Brian M Dulmovits; Julien Papoin; Meagan E Olive; Namrata D Udeshi; Steven A Carr; Adrianna Vlachos; Jeffrey M Lipton; Lydie Da Costa; Christopher Hillyer; Sandrina Kinet; Naomi Taylor; Narla Mohandas; Anupama Narla; Lionel Blanc
Journal:  J Clin Invest       Date:  2020-04-01       Impact factor: 14.808

Review 5.  Mechanisms of erythrocyte development and regeneration: implications for regenerative medicine and beyond.

Authors:  Emery H Bresnick; Kyle J Hewitt; Charu Mehta; Sunduz Keles; Robert F Paulson; Kirby D Johnson
Journal:  Development       Date:  2018-01-10       Impact factor: 6.868

6.  Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line.

Authors:  Christine Vogel; Raquel de Sousa Abreu; Daijin Ko; Shu-Yun Le; Bruce A Shapiro; Suzanne C Burns; Devraj Sandhu; Daniel R Boutz; Edward M Marcotte; Luiz O Penalva
Journal:  Mol Syst Biol       Date:  2010-08-24       Impact factor: 11.429

7.  Haematopoietic stem cells require a highly regulated protein synthesis rate.

Authors:  Robert A J Signer; Jeffrey A Magee; Adrian Salic; Sean J Morrison
Journal:  Nature       Date:  2014-03-09       Impact factor: 49.962

Review 8.  Exploiting Interdata Relationships in Next-generation Proteomics Analysis.

Authors:  Burcu Vitrinel; Hiromi W L Koh; Funda Mujgan Kar; Shuvadeep Maity; Justin Rendleman; Hyungwon Choi; Christine Vogel
Journal:  Mol Cell Proteomics       Date:  2019-05-24       Impact factor: 5.911

9.  An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics.

Authors:  Chia-Feng Tsai; Rui Zhao; Sarah M Williams; Ronald J Moore; Kendall Schultz; William B Chrisler; Ljiljana Pasa-Tolic; Karin D Rodland; Richard D Smith; Tujin Shi; Ying Zhu; Tao Liu
Journal:  Mol Cell Proteomics       Date:  2020-03-03       Impact factor: 5.911

10.  Developmental Stage-Specific Changes in Protein Synthesis Differentially Sensitize Hematopoietic Stem Cells and Erythroid Progenitors to Impaired Ribosome Biogenesis.

Authors:  Jeffrey A Magee; Robert A J Signer
Journal:  Stem Cell Reports       Date:  2021-01-12       Impact factor: 7.765

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