Evidence map›Paper›PMID 25505137›Full record

ArticleJournal of the Royal Society, Interface2015

Single cell profiling of surface carbohydrates on Bacillus cereus.

Congzhou Wang, Christopher J Ehrhardt, Vamsi K Yadavalli

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. High-resolution imaging of the microbial cell surface.Journal of microbiology (Seoul, Korea) · 2016
    Review
  6. 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.

Congzhou WangDepartment of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
Christopher J EhrhardtDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Vamsi K YadavalliDepartment of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA vyadavalli@vcu.edu.
Virginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell surface carbohydrates are important to various bacterial activities and functions. It is well known that different types of Bacillus display heterogeneity of surface carbohydrate compositions, but detection of their presence, quantitation and estimation of variation at the single cell level have not been previously solved. Here, using atomic force microscopy (AFM)-based recognition force mapping coupled with lectin probes, the specific carbohydrate distributions of N-acetylglucosamine and mannose/glucose were detected, mapped and quantified on single B. cereus surfaces at the nanoscale across the entire cell. Further, the changes of the surface carbohydrate compositions from the vegetative cell to spore were shown. These results demonstrate AFM-based 'recognition force mapping' as a versatile platform to quantitatively detect and spatially map key bacterial surface biomarkers (such as carbohydrate compositions), and monitor in situ changes in surface biochemical properties during intracellular activities at the single cell level.

Indexed as

Bacillus cereusMicroscopy, Atomic ForcePolysaccharides, BacterialSpores, BacterialPolysaccharides, Bacterialatomic force microscopyBacillus cereuslectin–carbohydrate interactionsurface analysis

Identifiers

PMID25505137
PMCPMC4305413
OpenAlexW2322928836

What OpenQuestion holds

Textmetadata
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.