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Next-generation Sequencing

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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.
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Related Experiment Video

Updated: Apr 11, 2026

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

Novel ageing-biomarker discovery using data-intensive technologies.

H R Griffiths¹, E M Augustyniak¹, S J Bennett¹

¹Aston Research Centre for Healthy Ageing and Life & Health Sciences, Aston University, Birmingham, B4 7ET, UK.

Mechanisms of Ageing and Development

|June 10, 2015

Summary

This summary is machine-generated.

Researchers explored novel biomarkers for healthy ageing using data-intensive methods. They analyzed cellular and plasma samples, developing high-throughput techniques to identify potential ageing indicators in the MARK-AGE cohort.

Keywords:

Biomarker discovery Endothelial progenitor cells Hyperoxia Proteomics miR array

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Area of Science:

Gerontology and biomarker research.
Utilizes advanced omics technologies for ageing studies.

Background:

Ageing is characterized by visible changes, hormonal shifts, and increased inflammation.
Current healthy ageing biomarkers rely on established ageing traits.
Data-intensive methods offer opportunities for novel biomarker discovery.

Purpose of the Study:

To discover novel biomarkers for healthy ageing.
To develop and apply data-intensive, hypothesis-free approaches.
To evaluate cellular and plasma markers in different age groups.

Main Methods:

Employed microarray and proteomics on aged cell systems (endothelial progenitor cells, T cells).
Investigated cellular material and plasma from defined age cohorts using proteomics, transcriptomics, and microRNA arrays.
Developed high-throughput methods for biomarker evaluation.

Main Results:

Gained longitudinal insights into endothelial progenitor and T cell ageing.
Explored cellular proteins, microRNAs (miR), messenger RNAs (mRNA), and plasma proteins as ageing biomarkers.
Established methods for evaluating novel, putative ageing biomarkers within the MARK-AGE cohort.

Conclusions:

Data-intensive, hypothesis-free strategies are effective for identifying novel ageing biomarkers.
Integration of multiple models and pilot studies is crucial for large cohort biomarker studies.
Developed robust methods for assessing potential biomarkers of healthy ageing.