Single-cell analysis methods encompass a range of advanced techniques aimed at examining the molecular and genetic features of individual cells. Here are some key methods:

  1. Single-cell RNA sequencing (scRNA-seq): Analyzes the transcriptome of individual cells, revealing gene expression patterns and cellular heterogeneity.
  2. Single-cell DNA sequencing: Allows for the study of genetic variations, including mutations and copy number variations, in single cells.
  3. Single-cell ATAC-seq: Assesses chromatin accessibility to understand how genes are regulated at the single-cell level.
  4. Single-cell proteomics: Uses mass spectrometry or antibody-based techniques to quantify proteins in single cells, providing insights into functional states.
  5. Flow cytometry and fluorescence-activated cell sorting (FACS): Enables the sorting and analysis of cells based on specific markers or properties.
  6. Single-cell epigenomics: Investigates DNA modifications like methylation patterns in individual cells.
  7. Spatial transcriptomics: Combines single-cell analysis with spatial information, mapping gene expression to specific tissue locations.

These techniques are vital for studying cell diversity, development, and disease mechanisms in various biological and medical research contexts.

MATLAB provides a range of tools and functions for analyzing single-cell data, particularly through specialized toolboxes and user-developed functions. Here are some commonly used methods and resources for single-cell analysis in MATLAB:

  1. Bioinformatics Toolbox:
  2. Single-Cell Data Processing:
  3. Clustering and Classification:
  4. Visualization:
  5. Toolboxes and Custom Scripts:
  6. Statistical Analysis:
  7. MATLAB Scripts for Single-cell RNA-seq:

These capabilities make MATLAB a flexible platform for handling single-cell data, offering robust analysis and visualization tools that can be integrated into larger pipelines.

⚙️MATLAB snippets

Below are some common single-cell analysis methods using MATLAB code snippets to demonstrate how you can perform these tasks: