Evidence map›Paper›PMID 35475001›Full record

ArticleCell reports methods2021

GEM-IL: A highly responsive fluorescent lactate indicator.

Ramsey Bekdash, Jose R Quejada, Shunnosuke Ueno, Fuun Kawano, Kumi Morikawa, Alison D Klein, Kenji Matsumoto, Tetz C Lee, Koki Nakanishi, Amy Chalan and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Modern Microscopic Approaches to Astrocytes.International journal of molecular sciences · 2023
    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

18 authors at 3 institutions in 3 countries.

Ramsey BekdashColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Jose R QuejadaColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Shunnosuke UenoColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Fuun KawanoColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Kumi MorikawaColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Alison D KleinColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Kenji MatsumotoDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Tetz C LeeDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Koki NakanishiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Amy ChalanColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Teresa M LeeColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Rui LiuDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Shunichi HommaDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Chyuan-Sheng LinDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Maria V YelshanskayaDepartment of Biochemistry and Molecular Biophysics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Alexander I SobolevskyDepartment of Biochemistry and Molecular Biophysics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Keisuke GodaDepartment of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
Masayuki YazawaColumbia Stem Cell Initiative, Columbia University, New York, NY 10032, USA.
Columbia University · USThe University of Tokyo · JPUniversity of California, Los Angeles · US

Funding

Structure and Function of AMPA subtype ionotropic glutamate receptorsR01NS083660 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KURNIKOVA, MARIA G, SOBOLEVSKY, ALEXANDER · 2013 to 2022
$4.3M
Identification and functional analysis of novel infantile cardiomyopathy genesK23HL138231 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEE, TERESA M · 2017 to 2020
$738k
NHLBI NIH HHS K23 HL138231NINDS NIH HHS R01 NS083660
6 · The paper itself

Abstract

Lactate metabolism has been shown to have increasingly important implications in cellular functions as well as in the development and pathophysiology of disease. The various roles as a signaling molecule and metabolite have led to interest in establishing a new method to detect lactate changes in live cells. Here we report our development of a genetically encoded metabolic indicator specifically for probing lactate (GEM-IL) based on superfolder fluorescent proteins and mutagenesis. With improvements in its design, specificity, and sensitivity, GEM-IL allows new applications compared with the previous lactate indicators, Laconic and Green Lindoblum. We demonstrate the functionality of GEM-IL to detect differences in lactate changes in human oncogenic neural progenitor cells and mouse primary ventricular myocytes. The development and application of GEM-IL show promise for enhancing our understanding of lactate dynamics and roles.

Indexed as

Lactic AcidNeural Stem CellsAnimalsHumansMiceMyocytes, CardiacSignal TransductionLactic Acidcancercardiac metabolismcellular metabolismgenetically encoded fluorescent indicatorslactatemetabolite indicator

Identifiers

PMID35475001
PMCPMC9017230
OpenAlexW3206881766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.