Evidence map›Paper›PMID 36056132›Full record

ArticleScientific reports2022

In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis.

Amalesh Mondal, Debarati Paul, Shubhra Ghosh Dastidar, Tanima Saha, Achintya Mohan Goswami

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

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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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. MultilevelCurrent research in structural biology · 2026
    Article
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  3. Article
  4. Bioinformatic Analysis of WNT Family Proteins.Bioinformatics and biology insights · 2025
    Article
  5. Article
  6. Frontiers in immunology · 2025
    Article
  7. Article
  8. 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

5 authors at 2 institutions in 1 country.

Amalesh MondalDepartment of Physiology, Katwa College, Purba Bardhaman, Katwa, West Bengal, 713130, India.
Debarati PaulDivision of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India.
Shubhra Ghosh DastidarDivision of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India.
Tanima SahaDepartment of Molecular Biology and Biotechnology, University of Kalyani, Nadia, Kalyani, India. sahatanima@klyuniv.ac.in.
Achintya Mohan GoswamiDepartment of Physiology, Krishnagar Govt. College, Nadia, Krishnagar, West Bengal, 741101, India. achintya02@gmail.com.
Bose Institute · INUniversity of Kalyani · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wnt1 is the first mammalian Wnt gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in Wnt1 are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymous SNPs (nsSNPs), present in the human Wnt1 gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of Wnt1 for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the post-translational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330-360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential Wnt1 gene expression pattern in normal, tumor and metastatic conditions across different tissues. Wnt1 gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of Wnt1 can be analyzed in population based genetic studies and may help understand the Wnt1 associated diseases.

Indexed as

Frizzled ReceptorsPolymorphism, Single NucleotideCarcinogenesisComputational BiologyHumansMolecular Dynamics SimulationWnt1 ProteinFrizzled ReceptorsWnt1 ProteinWNT1 protein, human

Identifiers

PMID36056132
PMCPMC9440047
OpenAlexW4294243526

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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.