• 1. Highlights of HMPA
  • 2. Data sources
  • 3. Usage of HMPA
  • 4. Contact us
1. Highlights of HMPA

In the dynamic field of cancer research, the emerging study of micropeptides significantly enhances our understanding of tumorigenesis. The introduction of the Human Cancer Micropeptide Atlas (HMPA) marks a critical advancement, establishing a comprehensive database designed to decode the complex roles of micropeptides in cancerous tissues.

Utilizing state-of-the-art methodologies and extensive data integration, HMPA meticulously indexes millions of potential short open reading frames (sORFs) across various omics fields. The application of advanced technologies and stringent validation protocols ensures the robustness and accuracy of the HMPA dataset, providing a reliable resource for ongoing scientific exploration.

The HMPA database offers profound insights into disease-associated micropeptides and their correlations with patient outcomes, highlighting the significant influence of 19,586 non-classical proteins on cancer progression. Through predictive structural modeling and advanced bioinformatics analysis, HMPA explores the complex interactions of micropeptides within the oncogenic network.

As we advance in cancer research, HMPA’s dedication to continual updates and enhancements promises new opportunities in the study of micropeptides, potentially leading to innovative therapeutic strategies for cancer treatment.

2. Data sources

We provide detailed list of sORFs results and spectral information. Please move to the “Download” page.

The abbreviations in the table below represent the names of various diseases. For the sake of convenience in referencing and identification, these disease names have been abbreviated. Please refer to the table to understand the specific diseases represented by each abbreviation.

Tissue/cell lines Cases by Disease Type Abbreviation
Stomach Gastric Cancer GC
Colorectal Colon Adenocarcinoma COAD
Ovary Ovarian Serous Cystadenocarcinoma OV
Uterus Uterine Corpus Endometrial Carcinoma UCEC
Kidney Clear Cell Renal Cell Carcinoma ccRCC
Lung Lung Adenocarcinoma LUAD
Breast Breast invasive carcinoma BRCA
Pancreas Pancreatic Ductal Adenocarcinoma PDAC

3.Usage of HMPA.
Search

a) Explore micropeptide by ID globally

b) Explore micropeptides by utilizing Ensembl ID, genomic coordinates (GRCh38/hg38), or subcellular localization. The filtered information will be displayed in the “Results” section below.

HMPA

Users can browse the data in the HMPA by choosing various cancer types, or if they are differentially expressed. The section below labeled "Results" shows general information.

Micropeptide function annotation and structure prediction
Tools

a) Expression profile

In order to visualize micropeptide expression in each research, HMPA provides heatmaps. To view peptide information, click on the id or expression value in the heatmap.

b) Clinical characteristics

HMPA conducts survival analysis based on micropeptide expression, enabling identification of key micropeptides impacting patient survival, while its box plots with jitter illustrate micropeptide expression across diverse patient characteristics in multiple cancer samples.

c) Peptide-RNA correlation

HMPA offers Pearson correlation analysis between micropeptide expression and transcriptome-level RNA expression for selected cancer types, allowing customization of p-value and correlation thresholds.
Genome

View micropeptide genome tracks directly in the UCSC Genome Browser.

Download

This page offers a variety of HMPA datasets for download. Each dataset's name and description provide a description of its content. Data may be downloaded in zip or original format by users.

4. Contact us

MOE Laboratory of BiosystemHomeostasis and Protection, College of Life Sciences, Zhejiang University,
Hangzhou, Zhejiang, 310058, China
Aifu Lin (linaifu@zju.edu.cn)