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Tissues

Tissues

Tissues are a group of cells that share a common embryonic origin. Microscopic observation reveals that the cells in a tissue share morphological features and are arranged in an orderly pattern to perform specific functions. From an evolutionary perspective, tissues appear in more complex organisms. Although there are many types of cells in the human body, they are organized into four broad categories of tissues: epithelial, connective, muscle, and nervous. Each of these categories is...

Tissues

Tissues

Cells with similar structure and function are grouped into tissues. A group of tissues with a specialized function is called an organ. There are four main types of tissue in vertebrates: epithelial, connective, muscle, and nervous.

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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Related Experiment Video

Updated: Jun 11, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

C-It: a knowledge database for tissue-enriched genes.

Pascal Gellert¹, Katharina Jenniches, Thomas Braun

¹Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany.

Bioinformatics (Oxford, England)

|July 15, 2010

Summary

This summary is machine-generated.

C-It is a new knowledge database focusing on uncharacterized genes. It uses the DGSA algorithm to identify tissue-enriched genes across multiple species, aiding functional studies.

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Area of Science:

Bioinformatics
Genomics
Molecular Biology

Background:

High-throughput technologies like microarrays enable genome-wide expression analysis.
The functions of numerous genes across species remain unknown, highlighting a gap in biological knowledge.
Identifying and characterizing these uncharacterized genes is crucial for advancing biological understanding.

Purpose of the Study:

To introduce C-It, a novel knowledge database specifically designed for uncharacterized genes.
To provide a resource for exploring gene expression profiles across various tissues and species.
To facilitate the identification of tissue-enriched uncharacterized genes.

Main Methods:

Development of the C-It knowledge database.
Inclusion of gene expression profiles from human, mouse, rat, chicken, and zebrafish tissues.
Application of the Database-Dependent Gene Selection and Analysis (DGSA) algorithm.

Main Results:

C-It database successfully integrates gene expression data for multiple species.
The DGSA algorithm effectively screens for uncharacterized, tissue-enriched genes within the database.
The database is designed for future expansion with additional expression studies and splicing isoforms.

Conclusions:

C-It serves as a valuable starting point for research into uncharacterized genes.
The database and DGSA algorithm facilitate the discovery of novel gene functions and tissue-specific expression patterns.
C-It promotes further investigation into the vast unknown regions of the genome.