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In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
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Updated: Jan 13, 2026

Imaging and Analysis of Tissue Orientation and Growth Dynamics in the Developing Drosophila Epithelia During Pupal Stages
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Capturing gene-cell duality in a cat's cradle.

Anna Laddach1, Fränze Progatzky1,2, Vassilis Pachnis1

  • 1Nervous System Development and Homeostasis Laboratory, The Francis Crick Institute, London NW1 1AT, United Kingdom.

Bioinformatics (Oxford, England)
|January 11, 2026
PubMed
Summary
This summary is machine-generated.

CatsCradle is a new R package for single-cell analysis. It helps cluster genes and cells, visualizing their relationships for deeper biological insights.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics

Background:

  • Single-cell analysis is crucial for understanding cellular heterogeneity.
  • Exploring relationships between gene expression patterns and cell types is a key challenge.

Purpose of the Study:

  • To introduce CatsCradle, an R package designed for advanced single-cell data analysis.
  • To provide tools for exploring the duality between cells and gene expression.

Main Methods:

  • CatsCradle leverages the inherent duality between cells and their expressed genes.
  • It offers functionalities for clustering genes and visualizing gene-gene relationships.
  • The package facilitates the exploration of connections between gene clusters and cell clusters.

Main Results:

  • The package enables the identification of gene expression programs.
  • It allows for the visualization of how these programs relate to distinct cell types.
  • Users can explore complex relationships within single-cell datasets.

Conclusions:

  • CatsCradle is a valuable R package for single-cell RNA sequencing data analysis.
  • It enhances the understanding of gene-cell expression relationships.
  • The package integrates seamlessly with existing single-cell data structures like Seurat.