Evidence map›Paper›PMID 38962493›Full record

ArticleJournal of structural biology: X2024

Eliminating the missing cone challenge through innovative approaches.

Cody Gillman, Guanhong Bu, Emma Danelius, Johan Hattne, Brent L Nannenga, Tamir Gonen

Abstract read
In one paragraph

Article in Journal of structural biology: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Cody GillmanDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.
Guanhong BuDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.
Emma DaneliusDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.
Johan HattneDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.
Brent L NannengaChemical Engineering, School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.
Tamir GonenDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.

Funding

TRD4: Design and Engineering of MicroED hardware for nanocrystallization and time resolved studiesP41GM136508 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GONEN, TAMIR, NANNENGA, BRENT · 2020 to 2024
$7.6M
NIGMS NIH HHS P41 GM136508
6 · The paper itself

Abstract

Microcrystal electron diffraction (MicroED) has emerged as a powerful technique for unraveling molecular structures from microcrystals too small for X-ray diffraction. However, a significant hurdle arises with plate-like crystals that consistently orient themselves flat on the electron microscopy grid. If the normal of the plate correlates with the axes of the crystal lattice, the crystal orientations accessible for measurement are restricted because the crystal cannot be arbitrarily rotated. This limits the information that can be acquired, resulting in a missing cone of information. We recently introduced a novel crystallization strategy called suspended drop crystallization and proposed that crystals in a suspended drop could effectively address the challenge of preferred crystal orientation. Here we demonstrate the success of the suspended drop approach in eliminating the missing cone in two samples that crystallize as thin plates: bovine liver catalase and the SARS‑CoV‑2 main protease (Mpro). This innovative solution proves indispensable for crystals exhibiting systematic preferred orientations, unlocking new possibilities for structure determination by MicroED.

Indexed as

Cryo-EMCryogenic freezingFIB millingMicrocrystal electron diffractionMicroEDMissing conepFIBPlasma FIB/SEMSuspended drop

Identifiers

PMID38962493
PMCPMC11220036

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.