Evidence map›Paper›PMID 35319171›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Towards Mapping Mouse Metabolic Tissue Atlas by Mid-Infrared Imaging with Heavy Water Labeling.

Xinwen Liu, Lixue Shi, Lingyan Shi, Mian Wei, Zhilun Zhao, Wei Min

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

6 authors at 1 institution in 1 country.

Xinwen LiuDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.ORCID 0000-0002-9812-7813
Lixue ShiDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Lingyan ShiDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Mian WeiDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Zhilun ZhaoDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Wei MinDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Columbia University · US

Funding

High-resolution volumetric imaging of metabolic activity in tissues and its application to tumor metabolismR01EB029523 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2020 to 2023
$1.6M
Super-multiplex vibrational imaging in living cellsR01GM128214 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2018 to 2021
$1.5M
Ultrahigh-resolution and single-molecule stimulated Raman scattering (SRS) microscopyR01GM132860 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2019 to 2022
$1.3M
NIBIB NIH HHS R01 EB029523NIGMS NIH HHS R01 GM128214NIGMS NIH HHS R01 GM132860NIH HHS EB029523NIH HHS GM128214NIH HHS GM132860
6 · The paper itself

Abstract

Understanding metabolism is of great significance to decipher various physiological and pathogenic processes. While great progress has been made to profile gene expression, how to capture organ-, tissue-, and cell-type-specific metabolic profile (i.e., metabolic tissue atlas) in complex mammalian systems is lagging behind, largely owing to the lack of metabolic imaging tools with high resolution and high throughput. Here, the authors applied mid-infrared imaging coupled with heavy water (D

Indexed as

GlioblastomaAnimalsDeuterium OxideDiagnostic ImagingMacromolecular SubstancesMammalsMetabolomeMiceDeuterium OxideMacromolecular Substancesheavy water labelinginfrared imagingmetabolic heterogeneitymetabolismmultivariate analysis

Identifiers

PMID35319171
PMCPMC9131428
OpenAlexW4221035003

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.