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Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

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Related Experiment Video

Updated: May 28, 2025

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

Efficacy of Next-Generation Sequencing in Identifying Genetic Markers for Prostate Cancer Risk.

Fahad H Alaithan¹, Raghad H Alaithan¹, Tauheed Ahmed²

¹Almaarefa University, Al Khalidiyah, Diriyah, Kingdom of Saudi Arabia.

Journal of Pharmacy & Bioallied Sciences

|February 10, 2025

Summary

Next-Generation Sequencing (NGS) identified key genetic markers, including BRCA1, BRCA2, and HOXB13 variants, significantly associated with prostate cancer risk in men. These findings aid in early diagnosis and personalized treatment strategies for this prevalent cancer.

Keywords:

BRCA1 BRCA2 HOXB13 MYC PTEN genetic markers next-generation sequencing prostate cancer

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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

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Last Updated: May 28, 2025

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Area of Science:

Oncology
Genetics
Bioinformatics

Background:

Prostate cancer is a leading global cancer in men.
Identifying genetic risk factors is crucial for early diagnosis and tailored treatments.
Next-Generation Sequencing (NGS) is a key technology for discovering cancer-related genetic variations.

Purpose of the Study:

To utilize NGS to identify genetic markers associated with prostate cancer risk.
To analyze genetic variations in a cohort of prostate cancer patients and healthy controls.
To establish the link between specific genetic alterations and increased prostate cancer susceptibility.

Main Methods:

Recruited 200 men (100 prostate cancer patients, 100 controls).
Extracted DNA from blood and tumor tissues for library preparation and Illumina sequencing.
Performed bioinformatic and statistical analyses to identify single nucleotide polymorphisms (SNPs) and copy number variations (CNVs).

Main Results:

Identified 450 genetic variants; 50 SNPs strongly correlated with prostate cancer risk (P < 0.001).
Found significant variants in BRCA1, BRCA2, and HOXB13 genes in 20% of patients.
Observed CNVs in MYC (15%) and PTEN (10%) genes, with lower frequencies in controls.

Conclusions:

NGS effectively identifies genetic markers linked to prostate cancer risk.
Specific genetic variants (e.g., in BRCA1, BRCA2, HOXB13, MYC, PTEN) are potential biomarkers for prostate cancer.
These identified markers can inform early detection and personalized medicine approaches.