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Histo Data 

Your Essential Resource for Histological Data and Analysis

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The Histo Database is a comprehensive resource designed for researchers and professionals in the field of histology. Offering access to high-quality histological data, this database is vital for those studying tissue structure, cellular composition, and the molecular underpinnings of diseases. Whether you are working on cell biology, pathology, or immunohistochemistry, the Histo database provides the necessary data for effective analysis, research, and experimentation.

What is the Histo Data ?

The Histo Database is a specialized platform that houses vast amounts of data related to tissue samples, cell types, histological images, and molecular markers. It serves as an essential tool for researchers, offering a centralized database where one can access tissue-specific information, disease models, and experimental results across different organisms. The database is regularly updated to include the latest research findings and histology data, making it a reliable source for high-throughput histological data.
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Key Features of the Histo Database


Comprehensive Histological Data:

  • Contains detailed information on tissue samples, cell markers, and disease models.

  • Pathological data to support disease progression and molecular studies.

Histological Image Repository:

  • Access to a large collection of high-resolution tissue images for educational and research purposes.

  • Microscopic images of various cell types, tissue sections, and diseased tissues for comparative studies.

Advanced Search Capabilities:

  • Search by tissue type, cellular structure, marker expression, and disease association.

  • Efficient search filters to narrow down results based on your research needs.

Data Integration with Molecular Markers:

  • Explore the connection between molecular markers and histological data to further understand tissue characteristics and disease mechanisms.

Cross-Species Analysis:

  • Includes data from multiple species, enabling comparative analysis of histological features across different organisms.


Research Innovation
60%

Research collaborations
+75

Projected funding
$30M

Active Collaborators
1,500

Customer Retention
85%

Research projects completed
150+

Lab visitors
50,000

Samples Processed
12,345


Why Use the Histo Data ?


The Histo Database is ideal for professionals and researchers in histology, cell biology, pathology, and biomedical sciences. It is particularly beneficial for:

  • Histological Research : Researchers can quickly locate tissue-specific data to support their studies in cell structure, tissue biology, and disease pathology.
  • Educational Purposes : The Histo Database serves as an excellent tool for teaching students and professionals about histological techniques and tissue analysis.
  • Immunohistochemistry Studies: It’s an essential tool for those studying protein expression and molecular biomarkers in various tissues.
  • Disease Modeling : The database offers insights into disease progression and can help track genetic variations and their impacts on tissue behavior.

By offering detailed insights into cell structure and tissue functionality, the Histo Database supports both basic research and clinical applications such as biomarker discovery, drug development, and treatment evaluation.

Melanoma

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Melanoma

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Uveal melanoma

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Targeted therapy

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SITC/iSBTc Cancer Immunotherapy Biomarkers Resource Document: Online resources and useful tools - a compass in the land of biomarker discovery

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Systematic review of the use of granulocyte–macrophage colony-stimulating factor in patients with advanced melanoma

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Main roads to melanoma

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Applications in Histology and Research

Cancer Research

Understanding the histological changes in tumor tissues and identifying cancer biomarkers.

Regenerative Medicine

Studying the role of stem cells and tissue regeneration in diseases.

Neuroscience

Analyzing brain tissue structure, neuron types, and disease markers for neurodegenerative diseases like Alzheimer’s and Parkinson’s.

Immunology
Understanding immune cell infiltration and immune responses in various tissues.

Targeted Therapy Analyzer (TTA)

A computational tool for the automated analysis of the data collected in the Targeted Therapy Database (TTD). The TTA enables users to easily implement the algorithms necessary to summarize the literature data and to match the tumor/patient molecular profile with the available evidence on the molecularly targeted therapy of melanoma.

Targeted Therapy Database (TTD)

A systematic collection of the scientific knowledge regarding the development of targeted therapy for melanoma. Since data are gathered in a computationally compatible fashion, the database can be utilized for the identification of prevalent therapeutic hypotheses based on the available evidence and for ranking treatments based on the patient's molecular profile (drug ranking system).

Biomaps

Inspired to the principles of functional interactomics, this is a collection of schematic figures depicting the molecular pathways involved in cancer development and progression, with particular regard to melanoma. A close-to-hand visual guide to navigate in the ever-growing complexity of cancer molecular biology.

Biocards

Therapy-oriented information on the molecules that make up melanoma (and cancer in general). Organized in structured formats, the data are linked to the information contained in the other MMMP databases to cover the details of translational and clinical interest.

Melanoma Molecular Profile

Aimed at providing a molecular identikit of human melanoma, this is intended as a comprehensive list of the molecules (and their main features) expressed and/or altered in this type of cancer.

Clinical Trial Database(CTD)

A systematic collection of the most significant results of clinical trials for the management of patients with malignant melanoma. Ranging from randomized controlled clinical studies and meta-analyses of traditional therapies to feasibility trials of the most innovative therapeutic approaches.

Glossary

Biomolecules and drugs cited in the MMMP website are automatically listed in this databank. In addition, cancer-related terms, definitions and concepts are briefly described. All items are linked to the information available in the relative MMMP Databases.