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Related Concept Videos

Sample Handling01:02

Sample Handling

Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...

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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Developments in biobanking workflow standardization providing sample integrity and stability.

Johan Malm1, Thomas E Fehniger, Pia Danmyr

  • 1Dept. of Laboratory Medicine, Section for Clinical Chemistry, Lund University, Skåne University Hospital in Malmö, SE-205 02 Malmö, Sweden.

Journal of Proteomics
|July 17, 2013
PubMed
Summary
This summary is machine-generated.

Standardizing biobanking processes is crucial for reliable genomic and proteomic research. Implementing quality control ensures data integrity and comparability for health and disease studies.

Keywords:
AntibodiesBiobankDiseasesMass spectrometryProteinsStandardization

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Area of Science:

  • Biobanking and its impact on omics research
  • Standardization in clinical sample handling
  • Proteomics and genomics data integrity

Background:

  • Biobanking processes are critical for developing diagnostic assays and advancing research.
  • Standardization is needed for collecting, storing, and utilizing clinical samples in proteomics and genomics.
  • Quality control and validation are essential for ensuring data integrity and interpretation.

Purpose of the Study:

  • To present recommendations and outlines for standardization in biobanking processes.
  • To increase awareness of basic concepts in clinical sample handling within the proteomic and genomic communities.
  • To highlight the importance of validated methods for data comparability and sharing.

Main Methods:

  • Review of long-term experience in clinical studies and biobanking.
  • Presentation of automated workflows for processing large numbers of clinical samples.
  • Validation criteria for sample processing and preservation.

Main Results:

  • Standardized biobanking ensures sample suitability for analysis, preserving sample content.
  • Automated workflows in high-density systems demonstrate effective sample processing.
  • Integration of biological, molecular, and clinical data enhances biobank value.

Conclusions:

  • Standardized biobanking is essential for future clinical studies in omics science.
  • Best practices and ongoing projects in large-scale biobanking are presented.
  • This work serves as a milestone for proteomic and genomic scientists to generate impactful data.