Evidence map›Paper›PMID 35727976›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level.

Xiaowei Ge, Fátima C Pereira, Matthias Mitteregger, David Berry, Meng Zhang, Bela Hausmann, Jing Zhang, Arno Schintlmeister, Michael Wagner, Ji-Xin Cheng

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
11.9field-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

39 citing papers in PubMed, 49 citations in OpenAlex.

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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

10 authors at 3 institutions in 3 countries.

Xiaowei GeDepartment of Electrical & Computer Engineering, Boston University, Boston, MA 02215.
Fátima C PereiraCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
Matthias MittereggerCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.ORCID 0000-0002-0703-6415
David BerryCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
Meng ZhangDepartment of Electrical & Computer Engineering, Boston University, Boston, MA 02215.
Bela HausmannJoint Microbiome Facility of the Medical University of Vienna and the University of Vienna, 1030 Vienna, Austria.
Jing ZhangDepartment of Biomedical Engineering, Photonics Center, Boston University, Boston, MA 02215.
Arno SchintlmeisterCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.ORCID 0000-0002-1146-0032
Michael WagnerCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.ORCID 0000-0002-9778-7684
Ji-Xin ChengDepartment of Electrical & Computer Engineering, Boston University, Boston, MA 02215.
University of Vienna · ATBoston University · USMedical University of Vienna · AT

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
Rapid AST through Metabolic Imaging at Single Cell LevelR01AI141439 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Ji-Xin Cheng · 2019 to 2026
$4.7M
Advanced laser scanning confocal microscope for multiple usersS10OD024993 · OD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MERTZ, JEROME · 2018 to 2018
$448k
Austrian Science Fund FWF ZK 57NIAID NIH HHS R01 AI141439NIGMS NIH HHS R35 GM136223NIH HHS S10 OD024993
6 · The paper itself

Abstract

One of the biggest challenges in microbiome research in environmental and medical samples is to better understand functional properties of microbial community members at a single-cell level. Single-cell isotope probing has become a key tool for this purpose, but the current detection methods for determination of isotope incorporation into single cells do not allow high-throughput analyses. Here, we report on the development of an imaging-based approach termed stimulated Raman scattering-two-photon fluorescence in situ hybridization (SRS-FISH) for high-throughput metabolism and identity analyses of microbial communities with single-cell resolution. SRS-FISH offers an imaging speed of 10 to 100 ms per cell, which is two to three orders of magnitude faster than achievable by state-of-the-art methods. Using this technique, we delineated metabolic responses of 30,000 individual cells to various mucosal sugars in the human gut microbiome via incorporation of deuterium from heavy water as an activity marker. Application of SRS-FISH to investigate the utilization of host-derived nutrients by two major human gut microbiome taxa revealed that response to mucosal sugars tends to be dominated by Bacteroidales, with an unexpected finding that Clostridia can outperform Bacteroidales at foraging fucose. With high sensitivity and speed, SRS-FISH will enable researchers to probe the fine-scale temporal, spatial, and individual activity patterns of microbial cells in complex communities with unprecedented detail.

Indexed as

BacillotaBacteroidetesGastrointestinal MicrobiomeIn Situ Hybridization, FluorescenceSpectrum Analysis, RamanHumansIsotopesSingle-Cell AnalysisSugarsIsotopesSugarschemical imagingmicrobiome heterogeneitymucus degradationmultimodal microscopysingle-cell microbiology

Identifiers

PMID35727976
PMCPMC9245642
OpenAlexW4283220828

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.