Analysis on Extracellular Vesicles Using the 96.96 IFC with SNP Type Assays as Quality Control for Biobanks

Single Nucleotide Polymorphisms (SNP) are variations in the human DNA that change one letter in the codon. These variations change person to person, therefore, studying these changes can aid in personalization of medications and ensure that researchers have obtained the correct samples from biobanks. This study analyzes the possibility of utilizing SNP genotyping on extracellular vesicles (EVs). EVs are released by cells into the interstitial fluid and transport a variety of cellular components, including proteins, mRNAs, miRNAs, DNA, and lipids. Due to their essential role in intercellular communication, EVs hold promise as diagnostic biomarkers, therapeutic agents, and drug delivery systems. In cancer diagnostics, EVs could assist in early disease identification and biomarker development as their content closely resembles that of their parent cells. In this study, SNP investigations were enhanced through the application of microfluidics PCR and SNP assay methodologies, utilizing a 96.96 dynamic array IFC and Biomark HD PCR device. Our research encompassed multiple experiments, adjusting various parameters to observe differences in the confidence and call rates of SNPs present in each sample. The results vary based on some loading errors during the process of pipetting, sometimes preventing SNPs from being called, as well as limited reagents for certain SNPs. Overall, SNP genotyping on extracellular vesicles is a possible solution in ensuring researchers have obtained the right samples and aiding in personalization of medications.

Institutions

Publication Details

Journal
George Mason University
Published
2024-10-11
DOI
https://doi.org/10.13021/jssr2024.4280
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis on Extracellular Vesicles Using the 96.96 IFC with SNP Type Assays as Quality Control for Biobanks

George Mason University
Extracellular vesicles in disease
article

Analysis on Extracellular Vesicles Using the 96.96 IFC with SNP Type Assays as Quality Control for Biobanks

article en

Abstract

Single Nucleotide Polymorphisms (SNP) are variations in the human DNA that change one letter in the codon. These variations change person to person, therefore, studying these changes can aid in personalization of medications and ensure that researchers have obtained the correct samples from biobanks. This study analyzes the possibility of utilizing SNP genotyping on extracellular vesicles (EVs). EVs are released by cells into the interstitial fluid and transport a variety of cellular components, including proteins, mRNAs, miRNAs, DNA, and lipids. Due to their essential role in intercellular communication, EVs hold promise as diagnostic biomarkers, therapeutic agents, and drug delivery systems. In cancer diagnostics, EVs could assist in early disease identification and biomarker development as their content closely resembles that of their parent cells. In this study, SNP investigations were enhanced through the application of microfluidics PCR and SNP assay methodologies, utilizing a 96.96 dynamic array IFC and Biomark HD PCR device. Our research encompassed multiple experiments, adjusting various parameters to observe differences in the confidence and call rates of SNPs present in each sample. The results vary based on some loading errors during the process of pipetting, sometimes preventing SNPs from being called, as well as limited reagents for certain SNPs. Overall, SNP genotyping on extracellular vesicles is a possible solution in ensuring researchers have obtained the right samples and aiding in personalization of medications.

George Mason University
George Mason University (US)
Good health and well-being
Openalex Percentile: Top 49%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.