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MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...

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Related Experiment Video

Updated: Jun 15, 2026

Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells

Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells

Published on: April 7, 2017

S-MED: sarcoma microRNA expression database.

Aaron L Sarver¹, Rasik Phalak, Venugopal Thayanithy

¹Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.

Laboratory Investigation; a Journal of Technical Methods and Pathology

|March 10, 2010

Summary

This summary is machine-generated.

Researchers created a new database, the Sarcoma microRNA Expression Database (S-MED), to catalog microRNA (miRNA) expression patterns in human sarcomas. This resource aids in understanding sarcoma biomarkers and improving diagnosis.

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miRNA Expression Analyses in Prostate Cancer Clinical Tissues

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

Area of Science:

Oncology
Genomics
Bioinformatics

Background:

Human sarcomas are diverse cancers lacking specific diagnostic markers.
MicroRNAs (miRNAs) show potential as biomarkers for cancer diagnosis, classification, and prognosis.
Current understanding of miRNA expression in sarcomas is limited, with no centralized data repository.

Purpose of the Study:

To systematically profile miRNA expression across various human sarcoma types.
To develop a publicly accessible bioinformatics resource for sarcoma miRNA data.
To facilitate research into novel miRNA biomarkers for sarcoma diagnosis and classification.

Main Methods:

Generated miRNA expression profiles from over 300 tumor tissue samples across 22 sarcoma types.
Developed the Sarcoma microRNA Expression Database (S-MED), a web-accessible repository.
Included data search functionalities (heat map, text/numerical) and statistical analysis (fold changes, P-values) for differential miRNA expression.

Main Results:

Comprehensive miRNA expression profiles for 22 human sarcoma types are now available.
S-MED provides detailed statistical data on differentially expressed miRNAs compared to normal tissues.
Experimental validation of differentially expressed miRNAs was performed for angiosarcoma and other sarcoma types.

Conclusions:

S-MED is the first dedicated database for miRNA expression patterns in human sarcomas.
The database serves as a valuable resource for advancing biological knowledge and bioinformatics infrastructure in sarcoma research.
This resource is expected to accelerate the discovery and development of novel miRNA-based biomarkers for sarcomas.