Evidence map›Paper›PMID 33714970›Full record

ReviewCurrent opinion in hematology2021

Proteomic/transcriptomic analysis of erythropoiesis.

Marjorie Brand, Jeffrey A Ranish

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Marjorie BrandSprott Center for Stem Cell Research, Ottawa Hospital Research Institute.
Jeffrey A RanishInstitute for Systems Biology, Seattle, Washington, USA.
Ottawa Hospital Research InstituteUniversity of Ottawa · CA

Funding

Transcriptional Control During ErythropoiesisR01DK098449 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Marjorie Carole Brand, JEFFREY A RANISH · 2013 to 2026
$5.8M
TFIIH and Transcription RegulationR01GM110064 · NIGMS · UNIVERSITY OF COLORADO · PI RANISH, JEFFREY A, TAATJES, DYLAN J · 2016 to 2019
$2.2M
The Expedit-Isotopomeric CrossLinking Mass Spectrometry (Expedit-ICLMS) technology for mapping global and dynamic protein-protein interaction networksR01GM136974 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI RANISH, JEFFREY A · 2020 to 2023
$2.0M
An LXR protein interaction network controlling macrophage lipid transporter expression in response to inflammatory-lipid crosstalkR01HL133678 · NHLBI · INSTITUTE FOR SYSTEMS BIOLOGY · PI RANISH, JEFFREY A · 2016 to 2019
$1.8M
CIHR MOP343603CIHR MOP89834NHLBI NIH HHS R01 HL133678NIDDK NIH HHS R01 DK098449NIGMS NIH HHS R01 GM110064NIGMS NIH HHS R01 GM136974
6 · The paper itself

Abstract

purpose of reviewErythropoiesis 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

findingsHere, 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.

Indexed as

Gene Expression ProfilingProteomeProteomicsTranscriptomeAnimalsBiomarkersCell DifferentiationErythropoiesisHematopoietic Stem CellsHumansSingle-Cell AnalysisBiomarkersProteome

Identifiers

PMID33714970
PMCPMC8284871
OpenAlexW3137518444

What Socratic holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.