Evidence map›Paper›PMID 38680556›Full record

ArticleACS central science2024

HOPS-Dependent Endosomal Escape Demands Protein Unfolding.

Madeline Zoltek, Angel L Vázquez Maldonado, Xizi Zhang, Neville Dadina, Lauren Lesiak, Alanna Schepartz

Abstract read
In one paragraph

Article in ACS central science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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.

Madeline ZoltekDepartment of Molecular and Cell Biology, University of California, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0001-7988-7764
Angel L Vázquez MaldonadoDepartment of Chemistry, University of California, Berkeley, California 94720, United States.
Xizi ZhangDepartment of Chemistry, University of California, Berkeley, California 94720, United States.
Neville DadinaDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-7118-4666
Lauren LesiakDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0001-6254-7085
Alanna SchepartzDepartment of Molecular and Cell Biology, University of California, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0003-2127-3932

Funding

Fluorescence tools that illuminate biology and inspire translationR35GM134963 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Alanna Schepartz · 2020 to 2026
$4.7M
NIGMS NIH HHS R35 GM134963
6 · The paper itself

Abstract

The inefficient translocation of proteins across biological membranes limits their application as potential therapeutics and research tools. In many cases, the translocation of a protein involves two discrete steps: uptake into the endocytic pathway and endosomal escape. Certain charged or amphiphilic molecules can achieve high protein uptake, but few are capable of efficient endosomal escape. One exception to this rule is ZF5.3, a mini-protein that exploits elements of the natural endosomal maturation machinery to translocate across endosomal membranes. Although some ZF5.3-protein conjugates are delivered efficiently to the cytosol or nucleus, overall delivery efficiency varies widely for different cargoes with no obvious design rules. Here we show that delivery efficiency depends on the ability of the cargo to unfold. Using fluorescence correlation spectroscopy, a single-molecule technique that precisely measures intracytosolic protein concentration, we show that regardless of size and pI, low-

Identifiers

PMID38680556
PMCPMC11046473

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.