Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
Zhuo Bi *Center for Global Health and Infectious Disease, Tsinghua University School of Medicine, Beijing, China.
Yu-Xiang Chen *Division of Experimental Medicine, University of California, San Francisco, San Francisco, United States.
Iris D Young *Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.ORCID https://orcid.org/0000-0003-4713-9504
Mohamad T Dandan *Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.
Hemant JoshiDivision of Experimental Medicine, University of California, San Francisco, San Francisco, United States.
Hong-Wei SuCenter for Global Health and Infectious Disease, Tsinghua University School of Medicine, Beijing, China.
Yuemeng ChenCenter for Global Health and Infectious Disease, Tsinghua University School of Medicine, Beijing, China.
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.ORCID https://orcid.org/0000-0002-5080-2859
UCSF-UCB Tuberculosis Research Advancement Center (TRAC)P30AI168440 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JEFFERY S COX, PAYAM NAHID · 2022 to 2026
$5.8M
Equipment for Discovering and Manipulating Macromolecular Conformational EnsemblesR35GM145238 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Solomon Fraser · 2022 to 2026
$3.1M
Acquisition of an electron microscope for high-resolution single particle cryo-EMS10OD021741 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, YIFAN · 2016 to 2016
$2.0M
Glacios™ Cryo Transmission Electron Microscope with 200 kV XFEG opticsS10OD026881 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, YIFAN · 2019 to 2019
$1.8M
Regulation of mycobacterial adaptive mistranslationR56AI185094 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAVID, BABAK · 2024 to 2024
$680k
Linux cluster for near atomic resolution single particle cryo-EMS10OD020054 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, YIFAN · 2015 to 2015
$456k
Bill and Melinda Gates Foundation OPP1109789National Institute of Allergy and Infectious Diseases P30AI168440National Institute of Allergy and Infectious Diseases R25AI47375National Institute of Allergy and Infectious Diseases R56AI185094NIAID NIH HHS P30 AI168440NIAID NIH HHS R56 AI185094NIGMS NIH HHS R35 GM145238NIGMS NIH HHS R35GM145238NIH HHS S10 OD020054NIH HHS S10OD020054NIH HHS S10 OD021741NIH HHS S10OD021741NIH HHS S10 OD026881NIH HHS S10OD026881Robert J Kleberg Jr and Helen C Kleberg Foundation A141660Wellcome 207487/C/17/ZWellcome Trust
6 · The paper itself
Abstract
Despite redundant cellular pathways to minimize translational errors, errors in protein synthesis are common. Pathways and mechanisms to minimize errors are classified as pre-ribosomal or ribosomal. Pre-ribosomal pathways are primarily concerned with the appropriate charging of tRNAs with their cognate amino acids. By contrast, the ribosomal decoding center is considered 'blind' to mischarged tRNAs since these have cognate codon•anti-codon pairing. Here, we identified that in mycobacteria, deletion of the 16S ribosomal RNA methyltransferase
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.
Ribosomal RNA methylation by GidB modulates discrimination of mischarged tRNA. · full record | OpenQuestion