Evidence map›Paper›PMID 41977307›Full record

ArticleInternational journal of molecular sciences2026

Revealing Cell Envelope Heterogeneity in Two Stable

Boying Xu, Yueyue Zhang, Yunfei Liu, Christian Hoischen, Martin Westermann, Akiko Kashiwagi, Tatsuya Kato, Tetsuya Yomo, Jian Xu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Boying XuSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China.
Yueyue ZhangLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.
Yunfei LiuLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.
Christian HoischenCF Imaging, Leibniz Institute on Aging, Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany.
Martin WestermannCenter for Electron Microscopy, Medical Faculty, Friedrich Schiller University Jena, Ziegelmühlenweg 1, D-07743 Jena, Germany.
Akiko KashiwagiFaculty of Agriculture and Life Science, Hirosaki University, Hirosaki 036-8561, Japan.ORCID 0000-0003-4231-6727
Tatsuya KatoLaboratory of Biotechnology, Green Chemistry Research Division, Research Institute of Green Science and Technology, Shizuoka University, 836 Ohya, Shizuoka 422-8529, Japan.ORCID 0000-0001-7990-2557
Tetsuya YomoLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.ORCID 0000-0003-3116-107X
Jian XuLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.ORCID 0000-0003-1816-4129

Funding

National Key R&D Program of China, Synthetic Biology Research 2019YFA0904500National Natural Science Foundation of China 32401223
6 · The paper itself

Abstract

Long-term adapted cell wall-deficient (L-forms) bacteria show unique cell shapes and growth patterns compared to wild-type bacteria. However, quantitative analysis to assess the morphological heterogeneity of existing L-forms is limited. In this study, we validated that two stable L-form strains of

Indexed as

Cell MembraneCell WallEscherichia coliL FormsBacterial Outer MembraneEscherichia coli ProteinsMutationEscherichia coli Proteinsbacterial cell wallcell membraneheterogeneityL-formmorphology

Identifiers

PMID41977307
PMCPMC13074047

What OpenQuestion holds

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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.