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Subcellular Fractionation

Subcellular Fractionation

The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
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Updated: May 5, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

CellFinder: a cell data repository.

Harald Stachelscheid¹, Stefanie Seltmann, Fritz Lekschas

¹Berlin Brandenburg Center for Regenerative Medicine, Charité - Universitätsmedizin Berlin, Berlin 13353, Germany, Max Delbrück Center for Molecular Medicine, Computational Biology and Data Mining, Berlin 13125, Germany, Humboldt Universität zu Berlin, Institute for Computer Science, Berlin 10099, Germany and Seoul National University, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul 151-742, Republic of Korea.

Nucleic Acids Research

|December 6, 2013

Summary

This summary is machine-generated.

CellFinder is a new resource providing extensive molecular data for mammalian cells across tissues and developmental stages. It integrates diverse datasets to offer a unified view of cell characteristics for researchers.

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Last Updated: May 5, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Area of Science:

Bioinformatics
Cell Biology
Genomics

Background:

Mammalian cell characterization requires integrated molecular data.
Existing resources are fragmented across databases and literature.

Purpose of the Study:

To develop CellFinder, a comprehensive resource for mammalian cell molecular data.
To provide a unified platform for searching, browsing, and comparing cell information.

Main Methods:

Data integration from curated databases and biomedical literature.
Text mining of publications and manual curation for expression data.
Development of a novel data model and ontology (CELDA).

Main Results:

CellFinder describes 3394 cell types and 50,951 cell lines.
Includes 3055 images, 205 whole-genome expression profiles, and 553,905 protein expressions.
Ontological backbone with 204,741 terms from 10 ontologies.

Conclusions:

CellFinder offers a valuable, integrated resource for mammalian cell molecular data.
Facilitates research in cell biology, development, and comparative genomics.
Provides advanced tools for data exploration and visualization.