Evidence map›Paper›PMID 34516047›Full record

ArticleCurrent protocols2021

Identifying Cell-Type-Specific Metabolic Signatures Using Transcriptome and Proteome Analyses.

Nadja Gebert, Shahadat Rahman, Caroline A Lewis, Alessandro Ori, Chia-Wei Cheng

Erratum issuedAbstract read
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Nadja GebertLeibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
Shahadat RahmanColumbia Stem Cell Initiative, Department of Genetics and Development, Columbia University Irving Medical Center, New York, New York.
Caroline A LewisWhitehead Institute for Biomedical Research, Cambridge, Massachusetts.
Alessandro OriLeibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
Chia-Wei ChengColumbia Stem Cell Initiative, Department of Genetics and Development, Columbia University Irving Medical Center, New York, New York.

Funding

Elucidating the role of fasting in intestinal stemness and tissue regenerationR00DK123407 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHENG, CHIA-WEI · 2021 to 2023
$727k
Elucidating the role of fasting in intestinal stemness and tissue regenerationK99DK123407 · NIDDK · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHENG, CHIA-WEI · 2019 to 2020
$182k
NIDDK NIH HHS K99 DK123407NIDDK NIH HHS R00 DK123407
6 · The paper itself

Abstract

Studies in various tissues have revealed a central role of metabolic pathways in regulating adult stem cell function in tissue regeneration and tumor initiation. The unique metabolic dependences or preferences of adult stem cells, therefore, are emerging as a new category of therapeutic target. Recently, advanced methods including high-resolution metabolomics, proteomics, and transcriptomics have been developed to address the growing interest in stem cell metabolism. A practical framework integrating the omics analyses is needed to systematically perform metabolic characterization in a cell-type-specific manner. Here, we leverage recent advances in transcriptomics and proteomics research to identify cell-type-specific metabolic features by reconstructing cell identity using genes and the encoded enzymes involved in major metabolic pathways. We provide protocols for cell isolation, transcriptome and proteome analyses, and metabolite profiling and measurement. The workflow for mapping cell-type-specific metabolic signatures presented here, although initially developed for intestinal crypt cells, can be easily implemented for cell populations in other tissues, and is highly compatible with most public datasets. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Intestinal crypt isolation and cell population purification Basic Protocol 2: Transcriptome analyses for cell-type-specific metabolic gene expression Basic Protocol 3: Proteome analyses for cell-type-specific metabolic enzyme levels Basic Protocol 4: Metabolite profiling and measurement.

Indexed as

ProteomeTranscriptomeGene Expression ProfilingMetabolic Networks and PathwaysProteomicsProteomemetabolismproteomestem celltranscriptome

Identifiers

PMID34516047
PMCPMC8722675

What OpenQuestion 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 OpenQuestion graph.