Evidence map›Paper›PMID 42686745›Full record

ArticleNature communications2026

Structural basis of transcription of the hachimoji eight-letter alphabet by E. coli RNA polymerase.

Qingrong Li, Hyo-Joong Kim, Yan Liu, Juntaek Oh, Peini Hou, Shuichi Hoshika, Grigore Pintilie, Sriram Aiyer, Jenny Chong, Dmitry Lyumkis and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

12 authors.

Qingrong LiDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-8583-3620
Hyo-Joong KimFoundation for Applied Molecular Evolution, Alachua, FL, USA.
Yan LiuDivision of CryoEM and Bioimaging, Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA.ORCID http://orcid.org/0000-0001-5683-8695
Juntaek OhDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-7625-2779
Peini HouDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Shuichi HoshikaFoundation for Applied Molecular Evolution, Alachua, FL, USA.ORCID http://orcid.org/0000-0001-9128-1183
Grigore PintilieDivision of CryoEM and Bioimaging, Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA.
Sriram AiyerThe Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6436-0521
Jenny ChongDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Dmitry LyumkisThe Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-8124-7472
Steven A BennerFoundation for Applied Molecular Evolution, Alachua, FL, USA. sbenner@ffame.org.ORCID http://orcid.org/0000-0002-3318-9917
Dong WangDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA. dongwang@ucsd.edu.ORCID http://orcid.org/0000-0002-2829-1546

Funding

Molecular Mechanisms for DNA Damage Processing by Transcription MachineryR01GM102362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, DONG · 2013 to 2025
$5.6M
Basic Research for Diagnostics and Surveillance in Lower Resource EnvironmentsR01AI135146 · NIAID · FOUNDATION FOR APPLIED MOLECULAR EVOLUTN · PI BENNER, STEVEN A · 2021 to 2024
$2.8M
Recognition of Synthetic Unnatural Base Pairs by RNA PolymeraseR01GM148476 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Dong Wang · 2023 to 2026
$1.6M
NIAID NIH HHS R01 AI135146NIGMS NIH HHS R01 GM102362NIGMS NIH HHS R01 GM148476U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM102362U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM148476
6 · The paper itself

Abstract

Expanded genetic alphabets with synthetic nucleotides can greatly increase the chemical diversity of nucleic acids, enabling new molecular functions. Because cellular transcription is executed by multi-subunit RNA polymerases, the compatibility of unnatural base pairs with this machinery is essential for engineering expanded genetic systems. Here we demonstrate that Escherichia coli RNA polymerase efficiently transcribes an eight-letter genetic alphabet with two orthogonal unnatural base pairs: P:Z and B:S pairs. To overcome G:Z misincorporation, we synthesize a higher-fidelity analogue, termed Z*, in which the C5 nitro group is replaced with a carboxamide. To elucidate substrate-recognition mechanisms, we determine four cryo-electron microscopy structures of RNA polymerase incorporating dZ:PTP or dP:Z*TP at 2.42-2.75 Å resolution. These structures, together with our early work on S:B pair, show that E. coli RNA polymerase is able to efficiently recognize these unnatural base pairs in the same manner as natural base pairs. Collectively, these results establish the feasibility of an eight-letter genetic alphabet for transcription.

Indexed as

DNA-Directed RNA PolymerasesEscherichia coliEscherichia coli ProteinsTranscription, GeneticBase PairingCryoelectron MicroscopyModels, MolecularDNA-Directed RNA PolymerasesEscherichia coli Proteins

Identifiers

PMID42686745
PMCPMC13538358

What OpenQuestion holds

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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.