Evidence map›Paper›PMID 27288951›Full record

ReviewCurrent opinion in chemical biology2016

Deciphering single cell metabolism by coherent Raman scattering microscopy.

Shuhua Yue, Ji-Xin Cheng

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
9.1field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
  2. Article
  3. Raman imaging of molecular groups in the wavenumber silent region.Analytical and bioanalytical chemistry · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Analytical Techniques for Single-Cell Biochemical Assays of Lipids.Annual review of biomedical engineering · 2023
    Review
  17. Imaging-based evaluation of lipids in the stratum corneum by label-free stimulated Raman scattering microscopy.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023
    Article
  18. 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.

Shuhua YueSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100191, PR China. Electronic address: yue_shuhua@buaa.edu.cn.
Ji-Xin ChengWeldon School of Biomedical Engineering, Department of Chemistry, Purdue University Center for Cancer Research, Birck Nanotechnology Center, Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, IN 47907, USA. Electronic address: jcheng@purdue.edu.
Beihang University · CNPurdue University West Lafayette · US

Funding

High-throughput high-content single cell analysis by multichannel stimulatedRaman flow cytometryR01GM118471 · NIGMS · PURDUE UNIVERSITY · PI CHENG, JI-XIN · 2016 to 2019
$1.6M
Quantitative Spectroscopic Imaging of Cancer Metabolites in Live Cells and IntactR21CA182608 · NCI · PURDUE UNIVERSITY · PI CHENG, JI-XIN · 2013 to 2015
$654k
NCI NIH HHS R21 CA182608NIGMS NIH HHS R01 GM118471
6 · The paper itself

Abstract

Metabolism is highly dynamic and intrinsically heterogeneous at the cellular level. Although fluorescence microscopy has been commonly used for single cell analysis, bulky fluorescent probes often perturb the biological activities of small biomolecules such as metabolites. Such challenge can be overcome by a vibrational imaging technique known as coherent Raman scattering microscopy, which is capable of chemically selective, highly sensitive, and high-speed imaging of biomolecules with submicron resolution. Such capability has enabled quantitative assessments of metabolic activities of biomolecules (e.g. lipids, proteins, nucleic acids) in single live cells in vitro and in vivo. These investigations provide new insights into the role of cell metabolism in maintenance of homeostasis and pathogenesis of diseases.

Indexed as

GlucoseHumansLimit of DetectionLipid MetabolismNeoplasmsNucleic AcidsProteinsSingle-Cell AnalysisSpectrum Analysis, RamanGlucoseNucleic AcidsProteins

Identifiers

PMID27288951
PMCPMC5018428
OpenAlexW2409995394

What OpenQuestion holds

Textmetadata
LicenceTDM
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.