Evidence map›Paper›PMID 34586070›Full record

RevieweLife2021

Autonomous clocks that regulate organelle biogenesis, cytoskeletal organization, and intracellular dynamics.

Mohammad Mofatteh, Fabio Echegaray-Iturra, Andrew Alamban, Francesco Dalla Ricca, Anand Bakshi, Mustafa G Aydogan

Open access · goldAbstract readReview
In one paragraph

Review in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  7. Evolution of the Cell-Cycle Clock Models: Biochemical or Transcriptional?Advances in experimental medicine and biology · 2026
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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

6 authors at 1 institution in 1 country.

Mohammad MofattehDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.ORCID 0000-0002-2458-0447
Fabio Echegaray-IturraDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.ORCID 0000-0002-0631-6896
Andrew AlambanDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.
Francesco Dalla RiccaDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.
Anand BakshiDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.
Mustafa G AydoganDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.ORCID 0000-0003-1673-0596
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How do cells perceive time? Do cells use temporal information to regulate the production/degradation of their enzymes, membranes, and organelles? Does controlling biological time influence cytoskeletal organization and cellular architecture in ways that confer evolutionary and physiological advantages? Potential answers to these fundamental questions of cell biology have historically revolved around the discussion of 'master' temporal programs, such as the principal cyclin-dependent kinase/cyclin cell division oscillator and the circadian clock. In this review, we provide an overview of the recent evidence supporting an emerging concept of 'autonomous clocks,' which under normal conditions can be

Indexed as

Organelle BiogenesisAnimalsCDC2 Protein KinaseCell CycleCircadian ClocksCytoskeletonHumansCDC2 Protein Kinaseautonomous clocksbiological timingcell biologycell cyclecircadian clockcytoskeletonorganelle dynamicsphysics of living systems

Identifiers

PMID34586070
PMCPMC8480978
OpenAlexW3204671862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.