Shreya M. Shah

ORCID: 0000-0002-7132-311X
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About
Contact & Profiles
Research Areas
  • DNA Repair Mechanisms
  • Cancer Genomics and Diagnostics
  • Plant Genetic and Mutation Studies
  • DNA and Nucleic Acid Chemistry
  • Gene expression and cancer classification
  • Genetics, Bioinformatics, and Biomedical Research
  • Genetic factors in colorectal cancer
  • CRISPR and Genetic Engineering
  • RNA modifications and cancer
  • Genetic and Environmental Crop Studies
  • Antimicrobial Resistance in Staphylococcus
  • Bacterial biofilms and quorum sensing
  • Genomic variations and chromosomal abnormalities
  • Advanced biosensing and bioanalysis techniques
  • Bacterial Identification and Susceptibility Testing
  • Evolution and Genetic Dynamics
  • Bioinformatics and Genomic Networks
  • RNA and protein synthesis mechanisms
  • Phytase and its Applications
  • Smart Agriculture and AI
  • Cholesterol and Lipid Metabolism
  • Venomous Animal Envenomation and Studies
  • Cancer-related gene regulation
  • Legume Nitrogen Fixing Symbiosis
  • Lipid metabolism and biosynthesis

Temple University
2024

Fox Chase Cancer Center
2024

Shri Ramswaroop Memorial University
2023

University College London
2018

University of Helsinki
2018

Sir Sayajirao General Hospital Medical College
2016

University of South Carolina
2016

Biofilms are formed by a complex bacterial community encapsulated polymeric matrix, with strong adherent properties and persistent phenotype. considered one of the most challenging areas modern medicine. Existing antibiotics have been developed against free-floating cells, thus, many treatments biofilm-related infection fail. In this study, we compared effects different media on biofilm growth clinical reference strains Staphylococci Enterococci, including multi-drug resistant...

10.1186/s12866-018-1321-6 article EN cc-by BMC Microbiology 2018-11-03

Abstract POLE driver mutations in the exonuclease domain (ExoD driver) are prevalent several cancers, including colorectal cancer and endometrial cancer, leading to dramatically ultra-high tumor mutation burden (TMB). To understand whether that not classified as drivers (POLE Variant) contribute mutagenesis, we assessed TMB 447 POLE-mutated ovarian cancers TMB-high ≥10 mutations/Mb (mut/Mb) or TMB-low <10 mut/Mb. was significantly highest tumors with “POLE ExoD plus Variant”...

10.1158/2767-9764.crc-23-0312 article EN cc-by Cancer Research Communications 2024-01-11

Background: Acute poisoning is a common medical emergency. This study was designed to investigate the pattern of drug utilization, agents, and outcome in patients with acute treated at tertiary care teaching hospital Vadodara, west India. Methods: prospective cross sectional utilization carried out on diagnosis admitted emergency department Sir Shree Sayajirao General Hospital during October, 2013 March, 2014. Results:During 6 months, 340 cases were enrolled, which 216 (63.5%) men. Mean...

10.22038/apjmt.2016.6881 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2016-03-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL AgriCare: To detect and prevent paddy crop diseases using machine learning 9 Pages Posted: 13 May 2022 See all articles by Ian SequeiraIan SequeiraVES Institute of Technology Mumbai, IndiaShreya ShahVES IndiaSharmila SenguptaVivekanand Education Society's TechnologyEtisha MathurvaishyaVivekanand Technology,Chembur,MumbaiChinmay WaykoleVES IndiaK. S....

10.2139/ssrn.4108881 article EN SSRN Electronic Journal 2022-01-01

<p><b>A,</b> mTMB comparisons in Group 2 and 3 tumors by ExoD driver alone [P286R, V411L, or other driver(s) combined] conjunction with <i>POLE</i> variants. Each filled round circle represents a tumor genomic profile; data are shown for the and/or plus variant. Data “other drivers” were combined because of lower numbers. The segregated MSS MSI status where relevant. A few statistical not performed ≤2 datapoints. <b>B,</b> increasing number analysis...

10.1158/2767-9764.25075298.v1 preprint EN cc-by 2024-01-26

<p>Characterization of <i>POLE</i> mutations in the CLS and TCGA dataset. <b>A,</b> Flowchart analysis tree for colorectal cancer (CRC), endometrial (EC), ovarian (OC) tumors by mutations, TMB, MSI/MSS status. Among 1,870 cancer, 4,481 cancers, 8,910 tumor genomic profiles, a total 447 carried mutations. Clinically relevant TMB cut-off points were used to define TMB-H (≥10 mut/Mb) TMB-L (<10 cohorts. mutation cohorts along with status defined. variants but no...

10.1158/2767-9764.25075304.v1 preprint EN cc-by 2024-01-26

<p>Molecular features of colorectal cancer (<b>A</b>) and endometrial (<b>B</b>). The mutational landscape patient demographic/clinical characteristics (PD-L1 by IHC, MSI comprehensive, age, sex) the four cohorts for each type were plotted using GenVisR package R.</p>

10.1158/2767-9764.25075295 preprint EN cc-by 2024-05-30

<p><b>A,</b> mTMB comparisons in Group 2 and 3 tumors by ExoD driver alone [P286R, V411L, or other driver(s) combined] conjunction with <i>POLE</i> variants. Each filled round circle represents a tumor genomic profile; data are shown for the and/or plus variant. Data “other drivers” were combined because of lower numbers. The segregated MSS MSI status where relevant. A few statistical not performed ≤2 datapoints. <b>B,</b> increasing number analysis...

10.1158/2767-9764.25075298 preprint EN cc-by 2024-01-26

<p>Molecular features of colorectal cancer (<b>A</b>) and endometrial (<b>B</b>). The mutational landscape patient demographic/clinical characteristics (PD-L1 by IHC, MSI comprehensive, age, sex) the four cohorts for each type were plotted using GenVisR package R.</p>

10.1158/2767-9764.25075295.v1 preprint EN cc-by 2024-01-26

<p>Characterization of <i>POLE</i> mutations in the CLS and TCGA dataset. <b>A,</b> Flowchart analysis tree for colorectal cancer (CRC), endometrial (EC), ovarian (OC) tumors by mutations, TMB, MSI/MSS status. Among 1,870 cancer, 4,481 cancers, 8,910 tumor genomic profiles, a total 447 carried mutations. Clinically relevant TMB cut-off points were used to define TMB-H (≥10 mut/Mb) TMB-L (<10 cohorts. mutation cohorts along with status defined. variants but no...

10.1158/2767-9764.25075304 preprint EN cc-by 2024-01-26

<div>Abstract<p><i>POLE</i> driver mutations in the exonuclease domain (ExoD driver) are prevalent several cancers, including colorectal cancer and endometrial cancer, leading to dramatically ultra-high tumor mutation burden (TMB). To understand whether <i>POLE</i> that not classified as drivers (<i>POLE</i> Variant) contribute mutagenesis, we assessed TMB 447 <i>POLE</i>-mutated ovarian cancers TMB-high ≥10 mutations/Mb (mut/Mb) or...

10.1158/2767-9764.c.7044866.v1 preprint EN 2024-01-26
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