Evidence map›Paper›PMID 34369028›Full record

ArticleProteins2022

Allosteric regulation within the highly interconnected structural scaffold of AraC/XylS homologs tolerates a wide range of amino acid changes.

Hunter R Picard, Kristen S Schwingen, Lisa M Green, David L Shis, Susan M Egan, Matthew R Bennett, Liskin Swint-Kruse

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2022. 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
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Hunter R PicardDepartment of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, Kansas, USA.
Kristen S SchwingenDepartment of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, Kansas, USA.
Lisa M GreenDepartment of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, Kansas, USA.
David L ShisDepartment of Biosciences, Rice University, Houston, Texas, USA.
Susan M EganDepartment of Molecular Biosciences, The University of Kansas, Lawrence, Kansas, USA.
Matthew R BennettDepartment of Biosciences, Rice University, Houston, Texas, USA.
Liskin Swint-KruseDepartment of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-5925-9741
University of Kansas Medical Center · USRice University · USUniversity of Kansas · US

Funding

Expanding the utility of transcriptional bacterial computingR01GM117138 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R., JOSIC, KRESIMIR · 2016 to 2019
$2.0M
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutionsR01GM147635 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI OZKAN, SEFIKA BANU, SWINT-KRUSE, LISKIN · 2022 to 2025
$1.8M
NIGMS NIH HHS R01 GM117138NIGMS NIH HHS R01 GM147635
6 · The paper itself

Abstract

To create bacterial transcription "circuits" for biotechnology, one approach is to recombine natural transcription factors, promoters, and operators. Additional novel functions can be engineered from existing transcription factors such as the E. coli AraC transcriptional activator, for which binding to DNA is modulated by binding L-arabinose. Here, we engineered chimeric AraC/XylS transcription activators that recognized ara DNA binding sites and responded to varied effector ligands. The first step, identifying domain boundaries in the natural homologs, was challenging because (i) no full-length, dimeric structures were available and (ii) extremely low sequence identities (≤10%) among homologs precluded traditional assemblies of sequence alignments. Thus, to identify domains, we built and aligned structural models of the natural proteins. The designed chimeric activators were assessed for function, which was then further improved by random mutagenesis. Several mutational variants were identified for an XylS•AraC chimera that responded to benzoate; two enhanced activation to near that of wild-type AraC. For an RhaR•AraC chimera, a variant with five additional substitutions enabled transcriptional activation in response to rhamnose. These five changes were dispersed across the protein structure, and combinatorial experiments testing subsets of substitutions showed significant non-additivity. Combined, the structure modeling and epistasis suggest that the common AraC/XylS structural scaffold is highly interconnected, with complex intra-protein and inter-domain communication pathways enabling allosteric regulation. At the same time, the observed epistasis and the low sequence identities of the natural homologs suggest that the structural scaffold and function of transcriptional regulation are nevertheless highly accommodating of amino acid changes.

Indexed as

AraC Transcription FactorBacterial ProteinsDNA-Binding ProteinsEscherichia coli ProteinsTrans-ActivatorsAllosteric RegulationAmino AcidsGene Expression Regulation, BacterialMutationRecombinant Fusion ProteinsAmino AcidsAraC protein, E coliAraC Transcription FactorBacterial ProteinsDNA-Binding ProteinsEscherichia coli ProteinsRecombinant Fusion ProteinsRhaR protein, E coliTrans-ActivatorsXylS protein, Pseudomonas putidaallosteryAraCchimeraRhaRtranscription regulationXylS

Identifiers

PMID34369028
PMCPMC8671227
OpenAlexW3187690506

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.