Evidence map›Paper›PMID 27670110›Full record

ArticleNature microbiology2016

Probing the metabolic heterogeneity of live Euglena gracilis with stimulated Raman scattering microscopy.

Yoshifumi Wakisaka, Yuta Suzuki, Osamu Iwata, Ayaka Nakashima, Takuro Ito, Misa Hirose, Ryota Domon, Mai Sugawara, Norimichi Tsumura, Hiroshi Watarai and 4 more

Abstract read
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In one paragraph

Article in Nature microbiology, 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
–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

41 citing papers in PubMed.

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  17. SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

14 authors.

Yoshifumi WakisakaDepartment of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
Yuta SuzukiDepartment of Electrical Engineering and Information Systems, University of Tokyo, Tokyo 113-8656, Japan.
Osamu IwataResearch &Development Department, Euglena Co., Ltd, Tokyo 108-0014, Japan.
Ayaka NakashimaResearch &Development Department, Euglena Co., Ltd, Tokyo 108-0014, Japan.
Takuro ItoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan.
Misa HiroseDepartment of Information Processing and Computer Science, Chiba University, Chiba 263-8522, Japan.
Ryota DomonDepartment of Information Processing and Computer Science, Chiba University, Chiba 263-8522, Japan.
Mai SugawaraDepartment of Information Processing and Computer Science, Chiba University, Chiba 263-8522, Japan.
Norimichi TsumuraDepartment of Information Processing and Computer Science, Chiba University, Chiba 263-8522, Japan.
Hiroshi WataraiInstitute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan.
Tomoyoshi ShimobabaDepartment of Electrical and Electronics Engineering, Chiba University, Chiba 263-8522, Japan.
Kengo SuzukiResearch &Development Department, Euglena Co., Ltd, Tokyo 108-0014, Japan.
Keisuke GodaDepartment of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
Yasuyuki OzekiDepartment of Electrical Engineering and Information Systems, University of Tokyo, Tokyo 113-8656, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding metabolism in live microalgae is crucial for efficient biomaterial engineering, but conventional methods fail to evaluate heterogeneous populations of motile microalgae due to the labelling requirements and limited imaging speeds. Here, we demonstrate label-free video-rate metabolite imaging of live Euglena gracilis and statistical analysis of intracellular metabolite distributions under different culture conditions. Our approach provides further insights into understanding microalgal heterogeneity, optimizing culture methods and screening mutant microalgae.

Indexed as

AnimalsEuglena gracilisMicroscopy, VideoOptical ImagingScattering, RadiationSpectrum Analysis, RamanWaterWater

Identifiers

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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.