Shahnawaz Ali

Employment

• The Beatson Institute for Cancer Research (R28) Post-Doc reaserch scientist
  2024 - Present
• Cancer Research UK Scotland Institute Post Doc Research Scientist
  2024 - Present
• King's College London Research Associate
  2018 - 2023
• King's College London

Education

• Jamia Millia Islamia Phd
  2012 - 2018
• Jamia Millia Islamia Msc Bio-Informatics
  2007 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Early skin seeding regulatory T cells modulate PPARγ-dependent skin pigmentation
  Nature Communications 2025 DOI: 10.1038/s41467-025-66229-2
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• Single-cell RNA sequencing of human epidermis identifies Lunatic fringe as a novel regulator of the stem cell compartment
  Stem Cell Reports 2023 DOI: 10.1016/j.stemcr.2023.09.007
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• Myc-dependent dedifferentiation of Gata6+ epidermal cells resembles reversal of terminal differentiation
  Nature cell biology 2023 DOI: 10.1038/s41556-023-01234-5
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• Network centrality approaches used to uncover and classify most influential nodes with their related miRNAs in cardiovascular diseases
  Gene Reports 2022 DOI: 10.1016/j.genrep.2022.101555
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• Network-Based Approach and IVI Methodologies, a Combined Data Investigation Identified Probable Key Genes in Cardiovascular Disease and Chronic Kidney Disease
  Frontiers in Cardiovascular Medicine 2022 DOI: 10.3389/FCVM.2021.755321
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• Structure based identification of potential inhibitors of NS3 protein of zika virus
  Letters in Drug Design and Discovery 2019 DOI: 10.2174/1570180815666180821105012
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• Assessment of the key regulatory genes and their Interologs for Turner Syndrome employing network approach
  Scientific Reports 2018 DOI: 10.1038/s41598-018-28375-0
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• Exploring novel key regulators in breast cancer network
  PLoS ONE 2018 DOI: 10.1371/journal.pone.0198525
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• In Silico Biochemical Pathways for Bacterial Metabolite Synthesis
  In Silico Approach for Sustainable Agriculture 2018 DOI: 10.1007/978-981-13-0347-0_14
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• In silico biochemical pathways for bacterial metabolite synthesis
  In Silico Approach for Sustainable Agriculture 2018 DOI: 10.1007/978-981-13-0347-0_14
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