Evidence map›Paper›PMID 36089228›Full record

ArticleJournal of structural biology2022

Multi-curve fitting and tubulin-lattice signal removal for structure determination of large microtubule-based motors.

Pengxin Chai, Qinhui Rao, Kai Zhang

Abstract read
In one paragraph

Article in Journal of structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular structure of the ESCRT-III-based archaeal CdvAB cell division machinery.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. The mechanochemical cycle of reactive full-length human dynein 1.Nature structural & molecular biology · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. High-resolutionbioRxiv : the preprint server for biology · 2024
    Article
  11. Structural determination and modeling of ciliary microtubules.Acta crystallographica. Section D, Structural biology · 2024
    Review
  12. Article
  13. Article
  14. High-Resolution Structural Analysis of Dyneins by Cryo-electron Microscopy.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  15. Article
  16. Cryo-EM structure of an active central apparatus.Nature structural & molecular biology · 2022
    Article
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.

Pengxin ChaiDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA.
Qinhui RaoDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA.
Kai ZhangDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA. Electronic address: jack.zhang@yale.edu.

Funding

Targeting bacterial infections by imaging electrical interactions between host surface pathogensDP2AI138259 · NIAID · YALE UNIVERSITY · PI MALVANKAR, NIKHIL · 2017 to 2017
$2.5M
Structural basis of dynein-driven ciliary motilityR35GM142959 · NIGMS · YALE UNIVERSITY · PI ZHANG, KAI JACK · 2021 to 2025
$2.3M
High-throughput electron cryo-microscopeS10OD023603 · OD · YALE UNIVERSITY · PI SIGWORTH, FREDERICK J · 2018 to 2018
$1.9M
NIAID NIH HHS DP2 AI138259NIGMS NIH HHS R35 GM142959NIH HHS S10 OD023603
6 · The paper itself

Abstract

Revealing high-resolution structures of microtubule-associated proteins (MAPs) is critical for understanding their fundamental roles in various cellular activities, such as cell motility and intracellular cargo transport. Nevertheless, large flexible molecular motors that dynamically bind and release microtubule networks are challenging for cryo-electron microscopy (cryo-EM). Traditional structure determination of MAPs bound to microtubules needs alignment information from the reconstruction of microtubules, which cannot be readily applied to large MAPs without a fixed binding pattern. Here, we developed a comprehensive approach to estimate the microtubule networks (multi-curve fitting), model the tubulin-lattice signals, and remove them (tubulin-lattice subtraction) from the raw cryo-EM micrographs. The approach does not require an ordered binding pattern of MAPs on microtubules, nor does it need a reconstruction of the microtubules. We demonstrated the capability of our approach using the reconstituted outer-arm dynein (OAD) bound to microtubule doublets. The tubulin-lattice subtraction improves the OAD alignment, thus leading to high-resolution reconstructions. In addition, the multi-curve fitting approach provides an accurate automatic alternative method to pick or segment filaments in 2D images and potentially in 3D tomograms. The accuracy of our approach has been demonstrated by using several other biological filaments. Our work provides a new tool to determine high-resolution structures of large MAPs bound to curved microtubule networks.

Indexed as

MicrotubulesTubulinCryoelectron MicroscopyTubulinCryo-EM image processingDyneinFilament networkMicrotubule-associated proteinsMicrotubulesSignal decompositionSymmetry mismatch

Identifiers

PMID36089228
PMCPMC10321216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.