Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 19, 2026

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies
09:32

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Published on: September 23, 2014

TMA-TAB: a spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object

Young Soo Song1, Hye Won Lee, Yu Rang Park

  • 1Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Republic of Korea.

Journal of Biomedical Informatics
|October 20, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Tissue Transplantation01:24

Tissue Transplantation

Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical Characteristics of TZAP (ZBTB48) in Hepatocellular Carcinomas from Tissue, Cell Line, and TCGA.

Medicina (Kaunas, Lithuania)·2022
Same author

Liver Diseases in South Korea: A Pulse Check of the Public's Knowledge, Awareness, and Behaviors.

Yonsei medical journal·2022
Same author

ALT Is Not Associated With Achieving Subcirrhotic Liver Stiffness and HCC During Entecavir Therapy in HBV-Related Cirrhosis.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association·2022
Same author

Letter regarding "The usefulness of metabolic score for insulin resistance for the prediction of incident non-alcoholic fatty liver disease in Korean adults".

Clinical and molecular hepatology·2022
Same author

Pharmacological Properties of <i>Jaeumgeonbi-Tang</i> on Redox System and Stress-Related Hormones in Chronic Subjective Dizziness: A Randomized, Double-Blind, Parallel-Group, Placebo-Controlled Trial.

Pharmaceuticals (Basel, Switzerland)·2022
Same author

Muscle fat contents rather than muscle mass determines nonalcoholic steatohepatitis and liver fibrosis in patients with severe obesity.

Obesity (Silver Spring, Md.)·2022
Same journal

Causal intervention validation of gene regulatory signals in scGPT.

Journal of biomedical informatics·2026
Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
See all related articles

Researchers developed TMA-TAB, a spreadsheet format for tissue microarray (TMA) data, to address data management challenges. This user-friendly format enhances data sharing and supports TMA-OM database applications.

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Pathology

Background:

  • Tissue microarrays (TMA) are crucial for validating cDNA microarray results in clinical research.
  • Managing and exchanging TMA data presents significant challenges for researchers.
  • Existing data management systems lack user-friendly and expressive formats for TMA data.

Purpose of the Study:

  • To develop a user-friendly, expressive data format for tissue microarray (TMA) data exchange.
  • To facilitate data communication and integration with TMA data storage and analysis systems.
  • To support the TMA-OM database application with a streamlined data submission format.

Main Methods:

  • Developed TMA-TAB, a spreadsheet-based data format simplifying and reorganizing the TMA-OM data model.

More Related Videos

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer
12:03

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Published on: June 10, 2022

Related Experiment Videos

Last Updated: Jun 19, 2026

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies
09:32

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Published on: September 23, 2014

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer
12:03

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Published on: June 10, 2022

  • Defined five tab-delimited formats representing key TMA entities: experiment, block, slide, core_in_block, and core_in_slide.
  • Implemented TMA-TAB import/export modules within the Xperanto-TMA database application.

    • Main Results:

    • TMA-TAB provides a simplified, spreadsheet-based format for TMA data submission.
    • Five distinct tab-delimited files cater to specific TMA data components.
    • Integrated TMA-TAB into Xperanto-TMA, enabling efficient data import and export.
    • Established a robust infrastructure for effective TMA data management.

    Conclusions:

    • TMA-TAB offers a user-friendly solution for tissue microarray data management and exchange.
    • The developed format enhances data communication and supports TMA-OM database functionalities.
    • Implementation of TMA-TAB and TMA-OM provides a powerful infrastructure for TMA research.