Evidence map›Paper›PMID 39372776›Full record

ArticlebioRxiv : the preprint server for biology2024

Cryo-electron tomography pipeline for plasma membranes.

Willy W Sun, Dennis J Michalak, Kem A Sochacki, Prasanthi Kunamaneni, Marco A Alfonzo-Méndez, Andreas M Arnold, Marie-Paule Strub, Jenny E Hinshaw, Justin W Taraska

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Willy W SunNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Dennis J MichalakNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Kem A SochackiNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Prasanthi KunamaneniNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Marco A Alfonzo-MéndezNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Andreas M ArnoldNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Marie-Paule StrubNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Jenny E HinshawNational Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, Maryland, USA.
Justin W TaraskaNational Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryo-electron tomography (cryoET) provides sub-nanometer protein structure within the dense cellular environment. Existing sample preparation methods are insufficient at accessing the plasma membrane and its associated proteins. Here, we present a correlative cryo-electron tomography pipeline optimally suited to image large ultra-thin areas of isolated basal and apical plasma membranes. The pipeline allows for angstrom-scale structure determination with sub-tomogram averaging and employs a genetically-encodable rapid chemically-induced electron microscopy visible tag for marking specific proteins within the complex cell environment. The pipeline provides fast, efficient, distributable, low-cost sample preparation and enables targeted structural studies of identified proteins at the plasma membrane of cells.

Identifiers

PMID39372776
PMCPMC11451596

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.