Evidence map›Paper›PMID 37720053›Full record

ArticleResearch square2023

Modulating Hierarchical Self-Assembly In Thermoresponsive Intrinsically Disordered Proteins Through High-Temperature Incubation Time.

Vaishali Sethi, Dana Cohen-Gerassi, Sagi Meir, Max Ney, Yulia Shmidov, Gil Koren, Lihi Adler-Abramovich, Ashutosh Chilkoti, Roy Beck

Abstract readPreprint
In one paragraph

Article in Research square, 2023. 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

9 authors.

Vaishali SethiRaymond and Beverly School of Physics and Astronomy, Tel Aviv University, Tel Aviv 6997801, Israel.
Dana Cohen-GerassiThe Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel.
Sagi MeirRaymond and Beverly School of Physics and Astronomy, Tel Aviv University, Tel Aviv 6997801, Israel.
Max NeyDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Yulia ShmidovDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Gil KorenRaymond and Beverly School of Physics and Astronomy, Tel Aviv University, Tel Aviv 6997801, Israel.
Lihi Adler-AbramovichThe Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel.
Ashutosh ChilkotiDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Roy BeckRaymond and Beverly School of Physics and Astronomy, Tel Aviv University, Tel Aviv 6997801, Israel.

Funding

Genetically Encoded Smart Biohybrid MaterialsR35GM127042 · NIGMS · DUKE UNIVERSITY · PI CHILKOTI, ASHUTOSH · 2018 to 2022
$2.2M
NIGMS NIH HHS R35 GM127042
6 · The paper itself

Abstract

The cornerstone of structural biology is the unique relationship between protein sequence and the 3D structure at equilibrium. Although intrinsically disordered proteins (IDPs) do not fold into a specific 3D structure, breaking this paradigm, some IDPs exhibit large-scale organization, such as liquid-liquid phase separation. In such cases, the structural plasticity has the potential to form numerous self-assembled structures out of thermal equilibrium. Here, we report that high-temperature incubation time is a defining parameter for micro and nanoscale self-assembly of resilin-like IDPs. Interestingly, high-resolution scanning electron microscopy micrographs reveal that an extended incubation time leads to the formation of micron-size rods and ellipsoids that depend on the amino acid sequence. More surprisingly, a prolonged incubation time also induces amino acid composition-dependent formation of short-range nanoscale order, such as periodic lamellar nanostructures. We can correlate the lamellar structures to

Identifiers

PMID37720053
PMCPMC10503869

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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.