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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....

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
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Related Experiment Video

Updated: Oct 1, 2025

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

Single-Cell Sequencing Technologies in Precision Oncology.

David T Melnekoff¹, Alessandro Laganà²

¹Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Advances in Experimental Medicine and Biology

|March 1, 2022

Summary

This summary is machine-generated.

Single-cell sequencing is transforming cancer research, offering detailed insights into tumor heterogeneity and enabling personalized medicine. This technology is becoming crucial for precision oncology applications.

Keywords:

CNV Cell-cell signaling Drug repurposing Intra-tumor heterogeneity Pathway analysis SNV Single-cell sequencing scDNA-seq scRNA-seq

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Last Updated: Oct 1, 2025

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Area of Science:

Genomics
Oncology
Bioinformatics

Background:

Single-cell sequencing technologies are rapidly advancing, with decreasing costs and increasing capabilities.
These technologies are set to become standard in translational cancer studies and clinical settings.
Personalized medicine applications are being driven by advancements in single-cell analysis.

Purpose of the Study:

To review the current state of single-cell DNA and RNA sequencing.
To discuss computational tools for analyzing single-cell data.
To explore applications in precision oncology and personalized medicine.

Main Methods:

Review of single-cell DNA and RNA sequencing technologies.
Overview of computational tools for data analysis.
Discussion of multi-omics data integration and cell signaling assessment.

Main Results:

Single-cell sequencing offers advantages over bulk sequencing for dissecting tumor heterogeneity.
It enables characterization of subclonal cell populations.
Advanced methods allow for multi-omics integration and single-cell resolution of cell signaling.

Conclusions:

Single-cell sequencing is revolutionizing cancer research and translational studies.
Its adoption in clinical settings for personalized medicine is imminent.
The technology provides critical insights for precision oncology.