Evidence map›Paper›PMID 23267188›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2013

Single-molecule imaging in live bacteria cells.

Ken Ritchie, Yoriko Lill, Chetan Sood, Hochan Lee, Shunyuan Zhang

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Single molecule tracking of bacterial cell surface cytochromes reveals dynamics that impact long-distance electron transport.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  13. The physics of life: one molecule at a time.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Article
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

5 authors.

Ken RitchieDepartment of Physics, Purdue University, West Lafayette, IN 47907, USA. kpritchie@purdue.edu
Yoriko Lill
Chetan Sood
Hochan Lee
Shunyuan Zhang

Funding

Single Molecule Study of Receptor Localization in Cellular MembranesR01GM083296 · NIGMS · PURDUE UNIVERSITY · PI RITCHIE, KENNETH · 2008 to 2011
$1.1M
NIGMS NIH HHS GM83296NIGMS NIH HHS R01 GM083296
6 · The paper itself

Abstract

Bacteria, such as Escherichia coli and Caulobacter crescentus, are the most studied and perhaps best-understood organisms in biology. The advances in understanding of living systems gained from these organisms are immense. Application of single-molecule techniques in bacteria have presented unique difficulties owing to their small size and highly curved form. The aim of this review is to show advances made in single-molecule imaging in bacteria over the past 10 years, and to look to the future where the combination of implementing such high-precision techniques in well-characterized and controllable model systems such as E. coli could lead to a greater understanding of fundamental biological questions inaccessible through classic ensemble methods.

Indexed as

Gene Expression Regulation, BacterialBacterial Outer Membrane ProteinsCell MembraneCytoplasmDiffusionEscherichia coliEscherichia coli ProteinsFluorescent DyesMembrane ProteinsMembrane Transport ProteinsMolecular ImagingNanotechnologyProtein TransportSensitivity and SpecificityStaining and LabelingBacterial Outer Membrane ProteinsBtuB protein, E coliEscherichia coli ProteinsFluorescent Dyesinner membrane protein, E coliMembrane ProteinsMembrane Transport Proteins

Identifiers

PMID23267188
PMCPMC3538437

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.