Evidence map›Paper›PMID 30936431›Full record

ArticleNature biomedical engineering2019

High-throughput, label-free, single-cell photoacoustic microscopy of intratumoral metabolic heterogeneity.

Pengfei Hai, Toru Imai, Song Xu, Ruiying Zhang, Rebecca L Aft, Jun Zou, Lihong V Wang

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Emerging Photoacoustic Imaging Techniques for Peripheral Arterial Disease.Current treatment options in cardiovascular medicine · 2025
    Review
  9. Super-Low-Dose Functional and Molecular Photoacoustic Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Multi-scale optoacoustic molecular imaging of brain diseases.European journal of nuclear medicine and molecular imaging · 2021
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Pengfei Hai *Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Toru Imai *Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Song XuDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Ruiying ZhangDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Rebecca L AftDepartment of Surgery, School of Medicine, Washington University, St. Louis, MO, USA.
Jun ZouDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. junzou@ece.tamu.edu.ORCID http://orcid.org/0000-0002-9543-6135
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA. LVW@caltech.edu.ORCID http://orcid.org/0000-0001-9783-4383

Funding

PHOTON TUNNELING: SHEDDING NEW LIGHT ON BIOMEDICINEDP1EB016986 · NIBIB · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2012 to 2016
$3.8M
IN VIVO IMAGING OF SINGLE CIRCULATING CELLSR01CA186567 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2013 to 2017
$3.6M
NCI NIH HHS R01 CA186567NIBIB NIH HHS DP1 EB016986
6 · The paper itself

Abstract

Intratumoral heterogeneity, which is manifested in almost all of the hallmarks of cancer, including the significantly altered metabolic profiles of cancer cells, represents a challenge to effective cancer therapy. High-throughput measurements of the metabolism of individual cancer cells would allow direct visualization and quantification of intratumoral metabolic heterogeneity, yet the throughputs of current measurement techniques are limited to about 120 cells per hour. Here, we show that single-cell photoacoustic microscopy can reach throughputs of approximately 12,000 cells per hour by trapping single cells with blood in an oxygen-diffusion-limited high-density microwell array and by using photoacoustic imaging to measure the haemoglobin oxygen change (that is, the oxygen consumption rate) in the microwells. We demonstrate the capability of this label-free technique by performing high-throughput single-cell oxygen-consumption-rate measurements of cultured cells and by imaging intratumoral metabolic heterogeneity in specimens from patients with breast cancer. High-throughput single-cell photoacoustic microscopy of oxygen consumption rates should enable the faster characterization of intratumoral metabolic heterogeneity.

Indexed as

MicroscopyPhotoacoustic TechniquesAnimalsBreast NeoplasmsCell HypoxiaCell Line, TumorFemaleHumansMiceNeoplasmsOxygenOxygen ConsumptionRAW 264.7 CellsStaining and LabelingOxygen

Identifiers

PMID30936431
PMCPMC6544054

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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.