The comprehensive database for cancer-related mitochondrial small RNAs across 33 cancer types, advancing our understanding of cancer biology and therapeutic targets.
Mitochondrial small RNAs (mtRNAs) are a novel class of regulatory molecules that play crucial roles in cancer development and progression.
Mitochondrial small RNAs (mtRNAs) represent a fascinating and relatively new area of cancer research. These short RNA molecules, typically 15-30 nucleotides in length, are derived from mitochondrial transcripts and have emerged as important regulators of cellular processes in cancer.
mtRNAs are processed from mitochondrial tRNAs, rRNAs, and mRNAs through specific cleavage mechanisms, creating diverse populations of small regulatory RNAs.
Different cancer types exhibit unique mtRNA expression profiles, making them valuable biomarkers for diagnosis, prognosis, and therapeutic targeting.
mtRNAs participate in complex regulatory networks, influencing gene expression, metabolic pathways, and cellular stress responses in cancer cells.
The cancer-specific expression patterns of mtRNAs present opportunities for developing novel therapeutic strategies and precision medicine approaches.
A comprehensive platform providing advanced tools for exploring, analyzing, and understanding cancer-associated mitochondrial small RNAs across 33 cancer types.
Extensive collection of mitochondrial small RNAs from 33 cancer types, providing detailed annotations, expression data, and functional classifications for research and clinical applications.
Powerful search capabilities with filtering options by RNA type, genomic location, expression levels, and cancer type specificity for targeted research investigations.
Flexible data export options in multiple formats including CSV, FASTA, BED, and GTF files for seamless integration with bioinformatics pipelines and analysis workflows.
Comprehensive coverage across 33 cancer types including solid tumors, blood cancers, and rare malignancies.
Explore cancer-related mitochondrial small RNAs across liver, lung, and breast cancers
| Locus ID | Position | Length | Read Count | GC Content | Consensus Sequence |
|---|
Access comprehensive cancer mtRNA datasets for your research
FASTA format file containing all mitochondrial small RNA sequences with detailed annotations including location, type, and read counts.
BED format file with genomic coordinates and annotations for all mtRNA loci, compatible with genome browsers and bioinformatics tools.
GTF format file with comprehensive gene feature annotations for mtRNAs, including detailed metadata and expression information.
Comprehensive guide and visualizations for the cancer mitochondrial small RNA database
Mitochondrial small RNAs (mtRNAs) are a class of regulatory non-coding RNAs derived from the mitochondrial genome. These molecules, typically 15-30 nucleotides in length, play crucial roles in cellular metabolism, apoptosis, and cancer progression. Recent studies have revealed that mtRNAs exhibit tissue-specific and cancer-type-specific expression patterns, making them valuable biomarkers for cancer diagnosis and prognosis.
Our database contains comprehensive mtRNA expression profiles across 33 different cancer types from The Cancer Genome Atlas (TCGA), providing researchers with unprecedented access to mitochondrial transcriptomic data for cancer research.
Navigate to the Database tab to explore mtRNA sequences with powerful filtering options:
Click on any mtRNA Locus ID to view detailed expression profiles:
Export filtered results in multiple formats for downstream analysis:
Each mtRNA record in the database contains the following information:
OncoMitoRNA-DB provides a RESTful API for programmatic access to the database. All API endpoints return JSON responses and support CORS for cross-origin requests.
https://mitorna.org/api/
Description: Returns comprehensive database statistics including total records, cancer types, sample types, and distribution data.
curl -X GET "https://mitorna.org/api/stats"
Description: Search and filter mtRNA sequences with various parameters.
Parameters:
locus_id - Search by specific mtRNA locus IDcancer_type - Filter by cancer type (e.g., BRCA, LUAD)sample_type - Filter by sample type (Cancer/Normal/All)length_range - Filter by sequence length (15-20/21-25/26-30)min_reads - Minimum read count thresholdpage - Page number for pagination (default: 1)per_page - Results per page (default: 20, max: 100)curl -X GET "https://mitorna.org/api/search?cancer_type=BRCA&min_reads=1000&page=1&per_page=20"
Description: Returns available cancer types and sample types with their counts.
curl -X GET "https://mitorna.org/api/cancer-types"
Description: Retrieve all mtRNA records with pagination support.
Parameters: page, per_page
curl -X GET "https://mitorna.org/api/all-data?page=1&per_page=50"
Description: Export filtered search results in specified format.
Formats: csv, fasta
Parameters: Same as search endpoint
curl -X GET "https://mitorna.org/api/export/csv?cancer_type=LUAD&min_reads=500" -o results.csv
All API responses follow this standard JSON format:
{
"success": true,
"data": {
// Response data
},
"error": null // Only present if success is false
}
import requests
import json
# Search for BRCA mtRNAs with high expression
url = "https://mitorna.org/api/search"
params = {
"cancer_type": "BRCA",
"min_reads": 1000,
"page": 1,
"per_page": 50
}
response = requests.get(url, params=params)
data = response.json()
if data["success"]:
results = data["data"]["results"]
print(f"Found {len(results)} mtRNAs")
for mtrna in results:
print(f"{mtrna['locus_id']}: {mtrna['total_reads']} reads")
else:
print(f"Error: {data['error']}")
The OncoMitoRNA-DB is built using modern web technologies to ensure fast, reliable access to mitochondrial transcriptomic data:
Get in touch with the OncoMitoRNA-DB team
Principal Investigator
John A. Burns School of Medicine
University of Hawai'i at Mānoa
For questions about the database, data access, collaboration opportunities, or technical support, please don't hesitate to reach out.