Evidence map›Paper›PMID 35794179›Full record

ArticleNature communications2022

Transcriptional programming in a Bacteroides consortium.

Brian D Huang, Thomas M Groseclose, Corey J Wilson

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Living Microbial Drugs.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Review
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  5. Polydopamine-chitosan coated biofilm-stateMaterials today. Bio · 2025
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  6. Review
  7. Article
  8. Article
  9. Toward predictable universal genetic circuit design.Quantitative biology (Beijing, China) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Synthesizing cellular LOGIC.Nature chemical biology · 2023
    Article
  15. Article
  16. Review
  17. Talking to intractable microbes.Communications biology · 2022
    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.

Brian D HuangGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, US.ORCID 0000-0002-5649-1406
Thomas M GrosecloseGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, US.ORCID 0000-0001-7831-4294
Corey J WilsonGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, US. corey.wilson@chbe.gatech.edu.ORCID 0000-0003-3040-1676
Georgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteroides species are prominent members of the human gut microbiota. The prevalence and stability of Bacteroides in humans make them ideal candidates to engineer as programmable living therapeutics. Here we report a biotic decision-making technology in a community of Bacteroides (consortium transcriptional programming) with genetic circuit compression. Circuit compression requires systematic pairing of engineered transcription factors with cognate regulatable promoters. In turn, we demonstrate the compression workflow by designing, building, and testing all fundamental two-input logic gates dependent on the inputs isopropyl-β-D-1-thiogalactopyranoside and D-ribose. We then deploy complete sets of logical operations in five human donor Bacteroides, with which we demonstrate sequential gain-of-function control in co-culture. Finally, we couple transcriptional programs with CRISPR interference to achieve loss-of-function regulation of endogenous genes-demonstrating complex control over community composition in co-culture. This work provides a powerful toolkit to program gene expression in Bacteroides for the development of bespoke therapeutic bacteria.

Indexed as

BacteroidesGastrointestinal MicrobiomeClustered Regularly Interspaced Short Palindromic RepeatsHumansPromoter Regions, GeneticTranscription FactorsTranscription Factors

Identifiers

PMID35794179
PMCPMC9259675
OpenAlexW4284889840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.