Evidence map›Paper›PMID 30052624›Full record

ArticleNature methods2018

Metagenomic mining of regulatory elements enables programmable species-selective gene expression.

Nathan I Johns, Antonio L C Gomes, Sung Sun Yim, Anthony Yang, Tomasz Blazejewski, Christopher S Smillie, Mark B Smith, Eric J Alm, Sriram Kosuri, Harris H Wang

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

55 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Emerging methylation-based approaches in microbiome engineering.Biotechnology for biofuels and bioproducts · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Toolbox of Characterized Genetic Parts forACS synthetic biology · 2024
    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

10 authors at 5 institutions in 1 country.

Nathan I JohnsDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.
Antonio L C GomesDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0003-3790-3724
Sung Sun YimDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0001-5060-0344
Anthony YangSchool of Engineering and Applied Sciences, Columbia University, New York, New York, USA.ORCID 0000-0002-5415-297X
Tomasz BlazejewskiDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.
Christopher S SmillieBroad Institute, Cambridge, Massachusetts, USA.
Mark B SmithDepartment of Biological Engineering, MIT, Cambridge, Massachusetts, USA.
Eric J AlmBroad Institute, Cambridge, Massachusetts, USA.
Sriram KosuriDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-4661-0600
Harris H WangDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0003-2164-4318
Columbia University Irving Medical Center · USBroad Institute · USColumbia University · USIIT@MIT · USUniversity of California, Los Angeles · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
A minimally invasive synthetic bio-driven approach for natural products discoveryU01GM110714 · NIGMS · ROCKEFELLER UNIVERSITY · PI BRADY, SEAN F · 2015 to 2019
$11.1M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
REVERSE GENOMICS OF REGULATORY ELEMENTS GOVERNING SPLICINGDP2GM114829 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KOSURI, SRIRAM · 2014 to 2014
$2.3M
Functional Metagenomic Reprogramming of the Human Microbiome through Mobilome EngDP5OD009172 · OD · HARVARD MEDICAL SCHOOL · PI WANG, HARRIS H · 2011 to 2015
$2.0M
NIDDK NIH HHS P30 DK043351NIGMS NIH HHS DP2 GM114829NIGMS NIH HHS T32 GM087237NIGMS NIH HHS U01 GM110714NIH HHS DP5 OD009172
6 · The paper itself

Abstract

Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here we report the large-scale metagenomic mining of thousands of natural 5' regulatory sequences from diverse bacteria, and their multiplexed gene expression characterization in industrially relevant microbes. We identified sequences with broad and host-specific expression properties that are robust in various growth conditions. We also observed substantial differences between species in terms of their capacity to utilize exogenous regulatory sequences. Finally, we demonstrate programmable species-selective gene expression that produces distinct and diverse output patterns in different microbes. Together, these findings provide a rich resource of characterized natural regulatory sequences and a framework that can be used to engineer synthetic gene circuits with unique and tunable cross-species functionality and properties, and also suggest the prospect of ultimately engineering complex behaviors at the community level.

Indexed as

Data MiningEscherichia coliGene Expression RegulationGenetic EngineeringMetabolic EngineeringMetabolic Networks and PathwaysMetagenomicsRegulatory Elements, TranscriptionalSpecies SpecificitySynthetic Biology

Identifiers

PMID30052624
PMCPMC6065261
OpenAlexW2791601350

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.