Evidence map›Paper›PMID 40302541›Full record

ReviewEmerging topics in life sciences2025

A case for community metadata standards in cryo-electron tomography.

William Wan

Abstract readReview
In one paragraph

Review in Emerging topics in life sciences, 2025. 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

1 author.

William WanDepartment of Biochemistry and Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0003-2497-3010

Funding

Elucidating the mechanisms of viral life cycles under near-native conditionsDP2GM146321 · NIGMS · VANDERBILT UNIVERSITY · PI WAN, WILLIAM N · 2021 to 2024
$2.4M
NIGMS NIH HHS DP2 GM146321
6 · The paper itself

Abstract

In the past decade, cryo-electron microscopy and single particle analysis (SPA) have quickly become key methods in structural biology. In particular, increased access to equipment and streamlined software has enabled new users to successfully carry out SPA projects. At the same time, cryo-electron tomography (cryo-ET) has also made great technical strides, most notably with cellular cryo-ET. While many challenges remain, developments in hardware and automation have made cellular cryo-ET specimen preparation and data collection more accessible than ever. There is also a growing field of cryo-ET software developers, but the wide variety of biological specimens and scientific goals that can be pursued using cryo-ET makes it difficult to develop processing workflows analogous to those in SPA; this becomes a major barrier to entry for new users. In this perspective, I make a case that the development of standardized metadata can play a key role in reducing such barriers and allow for an ecosystem that enables new users to enter the field while retaining a diversity of processing approaches.

Indexed as

Cryoelectron MicroscopyElectron Microscope TomographyMetadataHumansSoftwarecryo-electron microscopycryo-electron tomographyin situstructural biologysubtomogram averaging

Identifiers

PMID40302541
PMCPMC12203992

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.