Evidence map›Paper›PMID 31127043›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains.

Sabrina Rashid, Zhicheng Long, Shashank Singh, Maryam Kohram, Harsh Vashistha, Saket Navlakha, Hanna Salman, Zoltán N Oltvai, Ziv Bar-Joseph

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Smart active particles learn and transcend bacterial foraging strategies.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. E. coli takes every hurdle in stride.Nature reviews. Microbiology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Sabrina RashidComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213.
Zhicheng LongDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260.
Shashank SinghMachine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.ORCID 0000-0002-7305-673X
Maryam KohramDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260.
Harsh VashisthaDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260.
Saket NavlakhaCenter for Integrative Biology, The Salk Institute for Biological Studies, La Jolla, CA 92037.
Hanna SalmanDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260; hsalman@pitt.edu oltvai@pitt.edu zivbj@cs.cmu.edu.
Zoltán N OltvaiDepartment of Pathology, University of Pittsburgh, Pittsburgh, PA 15261; hsalman@pitt.edu oltvai@pitt.edu zivbj@cs.cmu.edu.
Ziv Bar-JosephComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213; hsalman@pitt.edu oltvai@pitt.edu zivbj@cs.cmu.edu.ORCID 0000-0003-3430-6051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms of bacterial chemotaxis have been extensively studied for several decades, but how the physical environment influences the collective migration of bacterial cells remains less understood. Previous models of bacterial chemotaxis have suggested that the movement of migrating bacteria across obstacle-laden terrains may be slower compared with terrains without them. Here, we show experimentally that the size or density of evenly spaced obstacles do not alter the average exit rate of

Indexed as

Cell CommunicationChemotaxisEscherichia coliMovementbacteriachemotaxistumbling

Identifiers

PMID31127043
PMCPMC6575235

What OpenQuestion holds

Textmetadata
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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.