Evidence map›Paper›PMID 30541894›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

MITO-Tag Mice enable rapid isolation and multimodal profiling of mitochondria from specific cell types in vivo.

Erol C Bayraktar, Lou Baudrier, Ceren Özerdem, Caroline A Lewis, Sze Ham Chan, Tenzin Kunchok, Monther Abu-Remaileh, Andrew L Cangelosi, David M Sabatini, Kıvanç Birsoy and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

74 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Mitochondrial control of glycerolipid synthesis by a PEP shuttle.bioRxiv : the preprint server for biology · 2026
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  9. Mass Spectrometry as a Tool for Metabolomics in Cancer.Advances in experimental medicine and biology · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
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  15. Article
  16. Review
  17. Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025
    Review
  18. Article
  19. Measuring renal cortical cell-specific mitochondrial metabolism.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Erol C BayraktarLaboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY 10065.
Lou BaudrierLaboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY 10065.
Ceren ÖzerdemLaboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY 10065.
Caroline A LewisWhitehead Institute for Biomedical Research, Cambridge, MA 02142.
Sze Ham ChanWhitehead Institute for Biomedical Research, Cambridge, MA 02142.ORCID 0000-0002-3235-0852
Tenzin KunchokWhitehead Institute for Biomedical Research, Cambridge, MA 02142.
Monther Abu-RemailehWhitehead Institute for Biomedical Research, Cambridge, MA 02142.
Andrew L CangelosiWhitehead Institute for Biomedical Research, Cambridge, MA 02142.
David M SabatiniWhitehead Institute for Biomedical Research, Cambridge, MA 02142; sabatini@wi.mit.edu kbirsoy@mail.rockefeller.edu walter.chen@childrens.harvard.edu.ORCID 0000-0002-1446-7256
Kıvanç BirsoyLaboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY 10065; sabatini@wi.mit.edu kbirsoy@mail.rockefeller.edu walter.chen@childrens.harvard.edu.
Walter W ChenWhitehead Institute for Biomedical Research, Cambridge, MA 02142; sabatini@wi.mit.edu kbirsoy@mail.rockefeller.edu walter.chen@childrens.harvard.edu.ORCID 0000-0002-7752-9581
Broad Institute · USRockefeller University · USWhitehead Institute for Biomedical Research · US

Funding

PRE-DOCTORAL TRAINING IN THE BIOLOGICAL SCIENCEST32GM007287 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELL, STEPHEN P., KEATING, AMY E · 1985 to 2019
$40.8M
Regulation of the mTOR Pathway By NutrientsR01CA103866 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI WEISSMAN, JONATHAN S. · 2004 to 2021
$7.0M
Cell Growth Signaling in Cancer DevelopmentR01CA129105 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI WEISSMAN, JONATHAN S. · 2008 to 2021
$5.9M
Novel Components of the mTORC1 and mTORC2 PathwaysR37AI047389 · NIAID · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI SABATINI, DAVID M. · 2010 to 2019
$4.8M
Dissecting tumor metabolic heterogeneity in vivoDP2CA228042 · NCI · ROCKEFELLER UNIVERSITY · PI BIRSOY, KIVANC · 2017 to 2017
$2.5M
Leucine Sensing by the mTORC1 Pathway in the LiverF31DK113665 · NIDDK · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CANGELOSI, ANDREW LOUIS · 2018 to 2021
$181k
NCI NIH HHS DP2 CA228042NCI NIH HHS R01 CA103866NCI NIH HHS R01 CA129105NIAID NIH HHS R37 AI047389NIDDK NIH HHS F31 DK113665NIGMS NIH HHS T32 GM007287
6 · The paper itself

Abstract

Mitochondria are metabolic organelles that are essential for mammalian life, but the dynamics of mitochondrial metabolism within mammalian tissues in vivo remains incompletely understood. While whole-tissue metabolite profiling has been useful for studying metabolism in vivo, such an approach lacks resolution at the cellular and subcellular level. In vivo methods for interrogating organellar metabolites in specific cell types within mammalian tissues have been limited. To address this, we built on prior work in which we exploited a mitochondrially localized 3XHA epitope tag (MITO-Tag) for the fast isolation of mitochondria from cultured cells to generate MITO-Tag Mice. Affording spatiotemporal control over MITO-Tag expression, these transgenic animals enable the rapid, cell-type-specific immunoisolation of mitochondria from tissues, which we verified using a combination of proteomic and metabolomic approaches. Using MITO-Tag Mice and targeted and untargeted metabolite profiling, we identified changes during fasted and refed conditions in a diverse array of mitochondrial metabolites in hepatocytes and found metabolites that behaved differently at the mitochondrial versus whole-tissue level. MITO-Tag Mice should have utility for studying mitochondrial physiology, and our strategy should be generally applicable for studying other mammalian organelles in specific cell types in vivo.

Indexed as

AnimalsEpitopesHepatocytesImmunoblottingLipidsMaleMetabolomicsMiceMice, Inbred C57BLMice, TransgenicMitochondriaMitochondria, LiverProteomicsEpitopesLipidslipidomicsmetabolomicsmitochondriaMITO-Tag Miceproteomics

Identifiers

PMID30541894
PMCPMC6320505
OpenAlexW2889921316

What OpenQuestion holds

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Registered trials

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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.