Evidence map›Paper›PMID 42124646›Full record

ArticlebioRxiv : the preprint server for biology2026

The pod components of the

Sean K Whittier, Shoichi Tachiyama, Samira Heydari, Wendy L Picking, Jun Liu, William D Picking

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

6 authors.

Sean K WhittierDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211.ORCID 0000-0001-5256-3532
Shoichi TachiyamaDepartment of Microbial Pathogenesis, Yale University West Haven, CT 06516.
Samira HeydariDepartment of Microbial Pathogenesis, Yale University West Haven, CT 06516.
Wendy L PickingDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211.
Jun LiuDepartment of Microbial Pathogenesis, Yale University West Haven, CT 06516.
William D PickingDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211.

Funding

Characterization of assembly and activation of the Shigella type III secretion injectisomeR01AI172097 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI Jun Liu, WILLIAM D. PICKING · 2022 to 2026
$3.1M
NIAID NIH HHS R01 AI172097
6 · The paper itself

Abstract

The bacterial type III secretion system (T3SS) uses a membrane-embedded injectisome assembly to export effector proteins into host cells. While atomic-level structural details have been revealed for much of the T3SS apparatus, the model of the cytoplasmic sorting platform remains largely low-resolution. A central structural element of the sorting platform is the so-called "pod" protein, SctQ, which anchors the sorting platform to the inner membrane via interaction with the adaptor protein SctK, and connects to the central ATPase via the spoke protein SctL. SctQ proteins also interact with alternatively translated homodimers of their C-terminal SPOA2 domains. Low resolution electron density maps have provided an outline of the sorting platform architecture, and fluorescence microscopy studies have suggested a 1:4:2 SctK:SctQ:SctL stoichiometry. While there are experimental and AlphaFold structures of the individual components or complexes of sorting platform pod, there is currently no model for the pod structure that adequately fits the electron density or accounts for the proposed stoichiometry. Here we use AlphaFold to generate a model of the

Indexed as

injectisomeSctQShigellasorting platformSpa33type III secretion system

Identifiers

PMID42124646
PMCPMC13160099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.