Evidence map›Paper›PMID 38801228›Full record

ArticleProtein science : a publication of the Protein Society2024

High-throughput system for the thermostability analysis of proteins.

Sae Ito, Ryo Matsunaga, Makoto Nakakido, Daisuke Komura, Hiroto Katoh, Shumpei Ishikawa, Kouhei Tsumoto

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2024. 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. Review
  3. Review
  4. Review
  5. Review
  6. High-throughput system for the thermostability analysis of proteins.Protein science : a publication of the Protein Society · 2024
    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

7 authors.

Sae ItoDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan.
Ryo MatsunagaDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7702-9176
Makoto NakakidoDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0328-9914
Daisuke KomuraDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0038-728X
Hiroto KatohDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-9440-728X
Shumpei IshikawaDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kouhei TsumotoDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7643-5164

Funding

Japan Agency for Medical Research and Development JP19am0401010h0005Japan Agency for Medical Research and Development JP223fa627001Japan Agency for Medical Research and Development JP223fa727002Japan Agency for Medical Research and Development JP23tk0124002h0002Japan Science and Technology Agency JPMJAX222IMinistry of Education, Culture, Sports, Science and Technology JPMXP1122714694
6 · The paper itself

Abstract

Thermal stability of proteins is a primary metric for evaluating their physical properties. Although researchers attempted to predict it using machine learning frameworks, their performance has been dependent on the quality and quantity of published data. This is due to the technical limitation that thermodynamic characterization of protein denaturation by fluorescence or calorimetry in a high-throughput manner has been challenging. Obtaining a melting curve that derives solely from the target protein requires laborious purification, making it far from practical to prepare a hundred or more samples in a single workflow. Here, we aimed to overcome this throughput limitation by leveraging the high protein secretion efficacy of Brevibacillus and consecutive treatment with plate-scale purification methodologies. By handling the entire process of expression, purification, and analysis on a per-plate basis, we enabled the direct observation of protein denaturation in 384 samples within 4 days. To demonstrate a practical application of the system, we conducted a comprehensive analysis of 186 single mutants of a single-chain variable fragment of nivolumab, harvesting the melting temperature (T

Indexed as

Protein StabilityBrevibacillusHigh-Throughput Screening AssaysProtein DenaturationThermodynamicsdata‐drivenhigh‐throughputprotein engineeringsingle‐chain variable fragmentthermal stability

Identifiers

PMID38801228
PMCPMC11129621

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.