A5085407723- MicroRNA in disease regulation
- Extracellular vesicles in disease
- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- 3D Printing in Biomedical Research
- Low-power high-performance VLSI design
- Embedded Systems Design Techniques
- Innovative Microfluidic and Catalytic Techniques Innovation
- Sesquiterpenes and Asteraceae Studies
- Cell Image Analysis Techniques
- Tea Polyphenols and Effects
- Sirtuins and Resveratrol in Medicine
- Carcinogens and Genotoxicity Assessment
- Endoplasmic Reticulum Stress and Disease
- Parallel Computing and Optimization Techniques
- Heavy Metal Exposure and Toxicity
- Plant biochemistry and biosynthesis
- Natural product bioactivities and synthesis
- Heavy metals in environment
- Heat shock proteins research
- Nuts composition and effects
- Genomics, phytochemicals, and oxidative stress
COMSATS University Islamabad
2021-2025
Harvard University
2025
Brigham and Women's Hospital
2025
University of Bonn
2024
Animal models are commonly used for drug screening before clinical trials. However, developing these is time-consuming, and the results obtained from may differ outcomes due to differences between animals humans. To this end, 3D bioprinting offers several advantages screening, such as high reproducibility improved throughput, in addition human cells that can be generate models. Here, we report development of an animal patient-derived vitro breast cancer model using digital light processing...
Introduction: Exosomes play significant roles in transferring cargo materials like proteins, RNAs (including miRNAs), and DNA. However, the role of serum exosome shuttled miRNAs head neck cancer (HNC) remains unclear. This study assessed diagnostic prognostic significance exosomal miR-17, miR-20a, TGFBR2 HNC patients. Methods: were isolated, from 400 confirmed patients healthy controls, characterized by NTA, TEM, Immunolabelling, ELISA. Quantitative PCR was used to check expressions...
Aim: The current study was designed to evaluate the diagnostic significance of exosomal miRNAs miR-19a and miR-19b PTEN gene in brain tumor patients versus controls. Methods: Exosomes were extracted from serum samples 400 healthy exosomes characterized by scanning electron microscopy, dynamic light scattering ELISA. Quantitative PCR used analyze selected exosome expression levels. Results: Analysis showed significant deregulated (p < 0.0001), 0.0001) 0.001) Spearman correlation a among gene....
Abstract The Asteraceae family is a prominent group of flowering plants found across the globe, with exception Antarctica. largest pivotal in plant evolution and diversification. Despite its importance, genetic diversity within this remains understudied. We focused on rps -11 gene, chloroplast marker previously utilized phylogenetic studies, to investigate potential resolving relationships. focus was examining sixteen specifically chosen species from family. This assessment based an analysis...
Aim: The present study was designed to evaluate the role of DNA damage response pathway genes and heat-shock proteins in head neck cancer (HNC) risk. Methods: For this purpose, two cohorts were used. Cohort 1 (blood samples 250 HNC patients controls) used for polymorphism screening selected using tetra-primer amplification refractory mutation system-polymerase chain (Tetra-ARMS PCR). 2 (200 tumors adjacent expression analysis, quantitative PCR. Results: Analysis showed that mutant allele...
Aims: The present study aimed to understand the relationship between mTOR gene SNP (rs2536) and reproductive cancer risk. expression level of miRNA-767 was also assessed. Methods: 700 tumor samples (300 breast, 200 ovarian cervical cancers), along with adjacent uninvolved control tissue, were used. rs2536 screened using Tetra-ARMS PCR assessed quantitative PCR. Results: frequency homozygous mutant genotype observed significantly higher in breast (p < 0.04), 0.005) 0.003) cancers. Significant...
Energy-efficient and high-performance general- purpose compute engines, as well application specific integrated circuits, are highly demanded to facilitate the development of artificial intelligence big data processing applications. However, with end Dennard's scaling Moore's law it is becoming difficult handle massive amounts complex computations required in these Approximate computing (AC) has emerged an attractive paradigm digital design address this unprecedented challenge. AC driven by...