Evidence map›Paper›PMID 32976909›Full record

ArticleJournal of molecular biology2020

Structural Insights into N-terminal IgV Domain of BTNL2, a T Cell Inhibitory Molecule, Suggests a Non-canonical Binding Interface for Its Putative Receptors.

Aditya J Basak, Snigdha Maiti, Anita Hansda, Dhrubajyoti Mahata, Kheerthana Duraivelan, Shankar V Kundapura, Woonghee Lee, Gayatri Mukherjee, Soumya De, Dibyendu Samanta

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Experimental Study of Potential CD8BioMed research international · 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

10 authors at 3 institutions in 2 countries.

Aditya J BasakSchool of Bioscience, Indian Institute of Technology Kharagpur, India.
Snigdha MaitiSchool of Bioscience, Indian Institute of Technology Kharagpur, India.
Anita HansdaSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, India.
Dhrubajyoti MahataSchool of Bioscience, Indian Institute of Technology Kharagpur, India; School of Medical Science and Technology, Indian Institute of Technology Kharagpur, India.
Kheerthana DuraivelanSchool of Bioscience, Indian Institute of Technology Kharagpur, India.
Shankar V KundapuraDivision of Biological Sciences, Poornaprajna Institute of Scientific Research, Bangalore, India.
Woonghee LeeNational Magnetic Resonance Facility at Madison, and Biochemistry Department, University of Wisconsin-Madison, Madison, WI 53706, USA.
Gayatri MukherjeeSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, India. Electronic address: gayatri.mukherjee@smst.iitkgp.ac.in.
Soumya DeSchool of Bioscience, Indian Institute of Technology Kharagpur, India. Electronic address: somde@iitkgp.ac.in.
Dibyendu SamantaSchool of Bioscience, Indian Institute of Technology Kharagpur, India. Electronic address: dibyendu.samanta@iitkgp.ac.in.
Indian Institute of Technology Kharagpur · INPoornaprajna Institute of Scientific Research · INUniversity of Wisconsin–Madison · US

Funding

TR&D 3: TECHNOLOGY DEVELOPMENT FOR NMR STUDIES OF SMALL MOLECULES (METABOLOMICS, NATURAL PRODUCTS, METABOLITE-PROTEIN INTERACTIONS) pp.537-585 P41GM103399 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BUTCHER, SAMUEL E · 2012 to 2019
$9.4M
NIGMS NIH HHS P41 GM103399
6 · The paper itself

Abstract

T cell costimulation is mediated by the interaction of a number of receptors and ligands present on the surface of the T cell and antigen-presenting cell, respectively. Stimulatory or inhibitory signals from these receptor-ligand interactions work in tandem to preserve immune homeostasis. BTNL2 is a type-1 membrane protein that provides inhibitory signal to T cells and plays an important role in several inflammatory and autoimmune diseases. Therefore, manipulation of the molecular interaction of BTNL2 with its putative receptor could provide strategies to restore immune homeostasis in these diseases. Hence, it is imperative to study the structural characteristics of this molecule, which will provide important insights into its function as well. In this study, the membrane-distal ectodomain of murine BTNL2 was expressed in bacteria as inclusion bodies, refolded in vitro and purified for functional and structural characterization. The domain is monomeric in solution as demonstrated by size-exclusion chromatography and analytical ultracentrifugation, and also binds to its putative receptor on naïve B cells and activated T cell subsets. Importantly, for the first time, we report the structure of BTNL2 as determined by solution NMR spectroscopy and also the picosecond-nanosecond timescale backbone dynamics of this domain. The N-terminal ectodomain of BTNL2, which was able to inhibit T cell function as well, exhibits distinctive structural features. The N-terminal ectodomain of BTNL2 has a significantly reduced surface area in the front sheet due to the non-canonical conformation of the CC' loop, which provides important insights into the recognition of its presently unknown binding partner.

Indexed as

Immunoglobulin DomainsAnimalsButyrophilinsHomeostasisLigandsLymphocyte ActivationMembrane ProteinsMiceModels, MolecularProtein ConformationT-LymphocytesBTNL2 protein, mouseButyrophilinsLigandsMembrane Proteinsbutyrophilinsdetermination of protein structure by NMR spectroscopyimmunoglobulin foldimmunoglobulin-variable domainT cell costimulation

Identifiers

PMID32976909
PMCPMC7642044
OpenAlexW3088986302

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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.