Evidence map›Paper›PMID 34541047›Full record

ArticleBio-protocol2021

Synchronized Real-time Measurement of Sec-mediated Protein Translocation.

Riti Gupta, Dmitri Toptygin, Christian M Kaiser

Abstract read
In one paragraph

Article in Bio-protocol, 2021. 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

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

3 authors.

Riti GuptaCMDB Graduate Program, Johns Hopkins University, 3400 N Charles St., Baltimore, MD 21218, USA.
Dmitri ToptyginDepartment of Biology, Johns Hopkins University, 3400 N Charles St., Baltimore, MD 21218, USA.
Christian M KaiserDepartment of Biology, Johns Hopkins University, 3400 N Charles St., Baltimore, MD 21218, USA.

Funding

CELLULAR AND MOLECULAR BIOLOGYT32GM007231 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VAN DOREN, MARK B · 1985 to 2020
$18.4M
Folding and Chaperone Interactions of Multi-domain ProteinsR01GM121567 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HILSER, VINCENT J. · 2017 to 2025
$3.2M
Single-molecule studies of Sec-dependent protein translocationR21AI133514 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KAISER, CHRISTIAN · 2017 to 2018
$437k
NIAID NIH HHS R21 AI133514NIGMS NIH HHS R01 GM121567NIGMS NIH HHS T32 GM007231
6 · The paper itself

Abstract

The Sec translocon, consisting of a heterotrimeric transmembrane channel (SecYEG) and an associated ATPase (SecA), catalyzes the export of unfolded proteins from the cytosol in bacteria. Kinetically resolving protein translocation at high resolution yields mechanistic insight into the process. Translocation is typically followed by measuring the protection of proteins transported into lipid vesicles, which only allows visualization of translocation after it has already been completed and limits time resolution. Here, we describe the implementation of an assay for measuring translocation in real-time. By priming the reconstituted translocon with suitably engineered substrate proteins, the kinetics of the actual translocation process can be resolved at high resolution. To analyze translocation kinetics, we developed a detailed kinetic model of the process that includes on-pathway and off-pathway processes. Together, this experimental protocol and model permit detailed mechanistic analyses of Sec-dependent protein translocation. Graphic abstract: Synchronized real-time measurements, combined with a detailed kinetic model, enable a mechanistic analysis of protein transport.

Indexed as

KineticsProtein translocationProtein transportSecASec transloconSecYEGSignal sequence

Identifiers

PMID34541047
PMCPMC8413584

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.