Evidence map›Paper›PMID 40316578›Full record

ArticleScientific reports2025

Proteomic approach for evaluating cryoprotectant formulations for enhanced post-cryopreservation recovery of yeast.

Thiruganesh Ramasamy, Rahul Tevatia, Shahin Ali, Anthony Muhle, Victoria Knight-Connoni, Nilay Chakraborty

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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.

Thiruganesh RamasamyATCC, 10801 University Boulevard, Manassas, VA, 20110, USA.
Rahul TevatiaATCC, 10801 University Boulevard, Manassas, VA, 20110, USA.
Shahin AliATCC, 10801 University Boulevard, Manassas, VA, 20110, USA.
Anthony MuhleATCC, 10801 University Boulevard, Manassas, VA, 20110, USA.
Victoria Knight-ConnoniATCC, 10801 University Boulevard, Manassas, VA, 20110, USA.
Nilay ChakrabortyATCC, 10801 University Boulevard, Manassas, VA, 20110, USA. nchakraborty@atcc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungi have numerous potential biotechnological applications across the life sciences. To ensure these microorganisms are available for future research, it is essential that they are properly preserved to safeguard against genetic changes, cellular instability, and loss of viability. While the use of cryoprotective agents (CPA) is critical for increasing survival of the material during preservation, the wide adoption of glycerol and DMSO as CPAs may not always be ideal as fungal diversity and functionality are ever growing. Therefore, in the following work, we focused on developing robust cryopreservation formulations that can efficiently preserve fungal strains while also maximizing recovery. Here, 10 different cryopreservation formulations consisting of individual or a combination of CPAs were evaluated for their effect on the Saccharomyces cerevisiae (ATCC 7754) proteome. Spot assays were performed to study the recovery response of each formulation. Functional proteomic and KEGG pathway analyses were used to investigate the molecular mechanism of cold-stress response in S. cerevisiae. A total of 2,299 proteins were identified; depending on the formulation used, a range of 116-1,241 proteins were found to be significantly upregulated and downregulated, indicating the influence of individual formulations. To the best of our knowledge, this is the first study that uses a proteomic-based approach to investigate how different cryopreservation formulations affect key mechanisms within a model organism.

Indexed as

CryopreservationCryoprotective AgentsProteomeProteomicsSaccharomyces cerevisiaeGlycerolSaccharomyces cerevisiae ProteinsCryoprotective AgentsGlycerolProteomeSaccharomyces cerevisiae ProteinsBiologicsCPACryopreservationFungiProteomic analysis

Identifiers

PMID40316578
PMCPMC12048564

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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.