Evidence map›Paper›PMID 39879150›Full record

ArticleJournal of proteome research2025

Proteomic Analysis of Unicellular Cyanobacterium

Punyatoya Panda, Swagarika J Giri, Louis A Sherman, Daisuke Kihara, Uma K Aryal

Abstract read
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In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Punyatoya PandaDepartment of Comparative Pathobiology, Purdue University, West Lafayette, Indiana 47907, United States.
Swagarika J GiriDepartment of Computer Science, Purdue University, West Lafayette, Indiana 47907, United States.
Louis A ShermanDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana 47907, United States.
Daisuke KiharaDepartment of Computer Science, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-4091-6614
Uma K AryalDepartment of Comparative Pathobiology, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-4543-1536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The daily light-dark cycle is a recurrent and predictable environmental phenomenon to which many organisms, including cyanobacteria, have evolved to adapt. Understanding how cyanobacteria alter their metabolic attributes in response to subjective light or dark growth may provide key features for developing strains with improved photosynthetic efficiency and applications in enhanced carbon sequestration and renewable energy. Here, we undertook a label-free proteomic approach to investigate the effect of extended light (LL) or extended dark (DD) conditions on the unicellular cyanobacterium

Indexed as

Bacterial ProteinsCyanobacteriaProteomeProteomicsDarknessLightPhotosynthesisBacterial ProteinsProteomeCrocosphaera subtropica ATCC 51142cyanobacteriaextended darkextended lightliquid chromatography−mass spectrometrymetalloproteasesphotosystem-Iphotosystem-IIproteasesproteomics

Identifiers

PMID39879150

What OpenQuestion holds

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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.