Evidence map›Paper›PMID 37127666›Full record

ArticleNature methods2023

Fast and efficient template-mediated synthesis of genetic variants.

Liyuan Liu, Yiming Huang, Harris H Wang

Open access · bronzeAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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 at 1 institution in 1 country.

Liyuan Liu *Department of Systems Biology, Columbia University, New York, NY, USA.ORCID 0000-0003-4737-1995
Yiming Huang *Department of Systems Biology, Columbia University, New York, NY, USA.ORCID 0000-0003-1932-2803
Harris H WangDepartment of Systems Biology, Columbia University, New York, NY, USA. hw2429@columbia.edu.ORCID 0000-0003-2164-4318
Columbia University · US

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
Micron-scale Spatial Metagenomic Mapping of Microbial Biogeography in the Gastrointestinal TractR01AI132403 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Harris H Wang · 2017 to 2026
$6.0M
Ecological dynamics and metabolic interactions in thegut microbiome across space and timeR01DK118044 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VITKUP, DENNIS, WANG, HARRIS H · 2018 to 2022
$3.4M
A high-performance and versatile technology for precision microbiome engineeringR01EB031935 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Samuel Henry Sternberg, Harris H Wang · 2021 to 2026
$3.3M
Rapid and efficient generation of sequence variants by templated synthesisR21HG013161 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WANG, HARRIS H · 2023 to 2023
$452k
National Science Foundation (NSF) MCB-2032259NHGRI NIH HHS R21 HG013161NHGRI NIH HHS RM1 HG009490NIAID NIH HHS 75N93021C00014NIAID NIH HHS R01 AI132403NIBIB NIH HHS R01 EB031935NIDDK NIH HHS R01 DK118044United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-17-1-2353U.S. Department of Energy (DOE) 47879/SCW1710U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R01AI132403U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R01DK118044U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R01EB031935
6 · The paper itself

Abstract

Efficient methods for the generation of specific mutations enable the study of functional variations in natural populations and lead to advances in genetic engineering applications. Here, we present a new approach, mutagenesis by template-guided amplicon assembly (MEGAA), for the rapid construction of kilobase-sized DNA variants. With this method, many mutations can be generated at a time to a DNA template at more than 90% efficiency per target in a predictable manner. We devised a robust and iterative protocol for an open-source laboratory automation robot that enables desktop production and long-read sequencing validation of variants. Using this system, we demonstrated the construction of 31 natural SARS-CoV2 spike gene variants and 10 recoded Escherichia coli genome fragments, with each 4 kb region containing up to 150 mutations. Furthermore, 125 defined combinatorial adeno-associated virus-2 cap gene variants were easily built using the system, which exhibited viral packaging enhancements of up to 10-fold compared with wild type. Thus, the MEGAA platform enables generation of multi-site sequence variants quickly, cheaply, and in a scalable manner for diverse applications in biotechnology.

Indexed as

COVID-19RNA, ViralDNAEscherichia coliHumansMutationSARS-CoV-2DNARNA, Viral

Identifiers

PMID37127666
PMCPMC12066172
OpenAlexW4367609976

What OpenQuestion holds

Textmetadata
LicenceTDM
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.