Evidence map›Paper›PMID 37585522›Full record

ArticleScience advances2023

Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity.

Yuying Tan, Haonan Lin, Ji-Xin Cheng

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
17.5field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Single-Cell Metabolic Imaging Reveals Glycogen-Driven Adaptations in Endothelial Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors at 1 institution in 1 country.

Yuying TanBiomedical Engineering, Boston University, Boston, MA 02155, USA.ORCID 0000-0003-2536-4778
Haonan LinBiomedical Engineering, Boston University, Boston, MA 02155, USA.ORCID 0000-0003-0437-5902
Ji-Xin ChengBiomedical Engineering, Boston University, Boston, MA 02155, USA.ORCID 0000-0002-5607-6683
Boston University · US

Funding

Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living SystemsR35GM136223 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2020 to 2025
$5.7M
Targeting Lipid Unsaturation in Ovarian Cancer Stem CellsR01CA224275 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Ji-Xin Cheng, Daniela E Matei · 2018 to 2026
$3.6M
Quantitative SRS Imaging of Cancer Metabolism at Single Cell LevelR33CA223581 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2018 to 2020
$1.1M
NCI NIH HHS R01 CA224275NCI NIH HHS R33 CA223581NIGMS NIH HHS R35 GM136223
6 · The paper itself

Abstract

Metabolic reprogramming in a subpopulation of cancer cells is a hallmark of tumor chemoresistance. However, single-cell metabolic profiling is difficult because of the lack of a method that can simultaneously detect multiple metabolites at the single-cell level. In this study, through hyperspectral stimulated Raman scattering (hSRS) imaging in the carbon-hydrogen (C-H) window and sparsity-driven hyperspectral image decomposition, we demonstrate a high-content hSRS (h

Indexed as

NeoplasmsCarbonFatty AcidsHumansHydrogenProteinsSpectrum Analysis, RamanCarbonFatty AcidsHydrogenProteins

Identifiers

PMID37585522
PMCPMC10431717
OpenAlexW4385860666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.