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Updated: May 6, 2026

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

The pancreatic expression database: recent extensions and updates.

Abu Z Dayem Ullah¹, Rosalind J Cutts, Millika Ghetia

¹Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK and Molecular GI-Onkologie (MGO), University of Bochum, Germany.

Nucleic Acids Research

|October 29, 2013

Summary

This summary is machine-generated.

The Pancreatic Expression Database (PED) is updated, offering expanded data including methylomics and improved search tools for pancreatic cancer research. This resource facilitates deeper analysis of genomic and proteomic profiles for better understanding of pancreatic cancer.

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Last Updated: May 6, 2026

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Computer-assisted Large-scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture

Computer-assisted Large-scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture

Published on: March 4, 2011

Area of Science:

Bioinformatics
Genomics
Cancer Research

Background:

The Pancreatic Expression Database (PED) is a key resource for analyzing pancreatic cancer literature data.
It integrates diverse data types including genomic, proteomic, and transcriptomic profiles.

Purpose of the Study:

To provide an update on the Pancreatic Expression Database (PED).
To highlight enhancements in data content, search functionality, and data integration capabilities.

Main Methods:

Substantial increase and expansion of PED data content to include methylomics studies.
Introduction of a controlled vocabulary for detailed sample information and inclusion of meta-analysis data.
Redesign of the web interface with quick search, user data upload, and integrated visualization tools.

Main Results:

PED now offers a more comprehensive collection of multidimensional pancreatic data.
Enhanced search and visualization tools allow for rapid information extraction and data integration.
Improved interoperability with other datasets facilitates integrative queries for pancreatic cancer research.

Conclusions:

The updated PED serves as an indispensable tool for researchers investigating pancreatic cancer.
Its expanded data and improved features support deeper insights into pancreatic cancer biology and potential therapeutic targets.