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Related Experiment Video

Updated: Feb 24, 2026

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Published on: June 12, 2016

SenNet Portal: Build, Optimization and Usage.

Katy Börner^1,2, Philip D Blood³, Jonathan C Silverstein^{1,2,3,4,5,6,7,8,9,10,11,12}

¹Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.

Biorxiv : the Preprint Server for Biology

|February 23, 2026

Summary

This summary is machine-generated.

Cellular senescence, a key aging factor, is now systematically studied using the SenNet Data Portal. This resource offers diverse data and tools to understand senescent cells across tissues and species, advancing aging research.

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Area of Science:

Gerontology and Cellular Biology
Bioinformatics and Data Science
Biomedical Research Infrastructure

Background:

Cellular senescence is a fundamental aging process, but its complexity hinders comprehensive study.
Heterogeneity and context-dependency of senescent cells present significant research challenges.
The Cellular Senescence Network (SenNet) Program aims to overcome these limitations through large-scale data generation.

Purpose of the Study:

To introduce the SenNet Data Portal as a public resource for senescent cell research.
To detail the portal's architecture, data types, and analytical capabilities.
To showcase the portal's utility in advancing the understanding of aging and senescence.

Main Methods:

Generation of multimodal, multi-tissue datasets profiling senescent cells.
Harmonization of single-cell, spatial, imaging, transcriptomic, and proteomic data.
Development of standardized protocols and analytical tools for senescence characterization.

Main Results:

The SenNet Data Portal provides open access to 1,753 human and mouse datasets across 15 organs.
Data includes comprehensive senescence biomarker catalogs and standardized protocols.
The portal supports integrated analysis, spatial mapping, and cross-species comparisons.

Conclusions:

The SenNet Data Portal is a critical resource for systematic study of cellular senescence.
It facilitates biomarker discovery, hypothesis generation, and spatial analysis in aging research.
Future extensions will enhance spatial-omics and senotype characterization capabilities.