ArticleThe Journal of general physiology2021
Analysis methods and quality criteria for investigating muscle physiology using x-ray diffraction.
Article in The Journal of general physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Muscle Diffraction at the Life Science X-ray Scattering Beamline.bioRxiv : the preprint server for biology · 2026Article
- Consecutive SSCs increase the SSC effect in skinned rat muscle fibres.Pflugers Archiv : European journal of physiology · 2025Article
- A Laing distal myopathy-associated proline substitution in the β-myosin rod perturbs myosin cross-bridging activity.The Journal of clinical investigation · 2024Article
- Myosin-binding protein C regulates the sarcomere lattice and stabilizes the OFF states of myosin heads.Nature communications · 2024Article
- Myosin-binding protein C forms C-links and stabilizes OFF states of myosin.bioRxiv : the preprint server for biology · 2023Article
- Using Multiscale Simulations as a Tool to Interpret Equatorial X-ray Fiber Diffraction Patterns from Skeletal Muscle.International journal of molecular sciences · 2023Article
- Small Angle X-ray Diffraction as a Tool for Structural Characterization of Muscle Disease.International journal of molecular sciences · 2022Review
- Myosin motors that cannot bind actin leave their folded OFF state on activation of skeletal muscle.The Journal of general physiology · 2021Article
- The muscle M3 x-ray diffraction peak and sarcomere length: No evidence for disordered myosin heads out of actin overlap.The Journal of general physiology · 2021Article
Corrections and comments
- Commented on by
Authors and funding
2 authors.
Funding
Abstract
X-ray diffraction studies of muscle have been tremendously powerful in providing fundamental insights into the structures of, for example, the myosin and actin filaments in a variety of muscles and the physiology of the cross-bridge mechanism during the contractile cycle. However, interpretation of x-ray diffraction patterns is far from trivial, and if modeling of the observed diffraction intensities is required it needs to be performed carefully with full knowledge of the possible pitfalls. Here, we discuss (1) how x-ray diffraction can be used as a tool to monitor various specific muscle properties and (2) how to get the most out of the rest of the observed muscle x-ray diffraction patterns by modeling where the reliability of the modeling conclusions can be objectively tested. In other x-ray diffraction methods, such as protein crystallography, the reliability of every step of the process is estimated and quoted in published papers. In this way, the quality of the structure determination can be properly assessed. To be honest with ourselves in the muscle field, we need to do as near to the same as we can, within the limitations of the techniques that we are using. We discuss how this can be done. We also use test cases to reveal the dos and don'ts of using x-ray diffraction to study muscle physiology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.