Evidence map›Paper›PMID 28256238›Full record

ArticleBiophysical journal2017

Dynamic Sampling and Information Encoding in Biochemical Networks.

Garrett D Potter, Tommy A Byrd, Andrew Mugler, Bo Sun

Abstract read
In one paragraph

Article in Biophysical journal, 2017. 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. Dynamics of positional information in the vertebrate neural tube.Journal of the Royal Society, Interface · 2024
    Article
  2. Article
  3. Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022
    Review
  4. Article
  5. The mechanics and dynamics of cancer cells sensing noisy 3D contact guidance.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Estimating information in time-varying signals.PLoS computational biology · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Garrett D PotterDepartment of Physics, Oregon State University, Corvallis, Oregon.
Tommy A ByrdDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana.
Andrew MuglerDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana.
Bo SunDepartment of Physics, Oregon State University, Corvallis, Oregon. Electronic address: sunb@onid.orst.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells use biochemical networks to translate environmental information into intracellular responses. These responses can be highly dynamic, but how the information is encoded in these dynamics remains poorly understood. Here, we investigate the dynamic encoding of information in the ATP-induced calcium responses of fibroblast cells, using a vectorial, or multi-time-point, measure from information theory. We find that the amount of extracted information depends on physiological constraints such as the sampling rate and memory capacity of the downstream network, and it is affected differentially by intrinsic versus extrinsic noise. By comparing to a minimal physical model, we find, surprisingly, that the information is often insensitive to the detailed structure of the underlying dynamics, and instead the decoding mechanism acts as a simple low-pass filter. These results demonstrate the mechanisms and limitations of dynamic information storage in cells.

Indexed as

Information TheoryModels, BiologicalAdenosine TriphosphateAnimalsCalciumFibroblastsMiceNIH 3T3 CellsAdenosine TriphosphateCalcium

Identifiers

PMID28256238
PMCPMC5340174

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.