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Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Updated: Jun 16, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes.

Hsiao-Chun Chen^1,2, Yushu Ma^1,2, Jinxiong Cheng^1,3

¹UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.

Cancer Heterogeneity and Plasticity

|August 19, 2024

Summary

This summary is machine-generated.

Single-cell analysis offers deep biological insights, crucial for understanding cancer's complexity. Innovative isolation techniques enable precise cell selection, advancing disease research and therapies.

Keywords:

cellular heterogeneity droplets genotype microfluidics phenotype selective cell retrieval single-cell analysis

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Reusable Single Cell for Iterative Epigenomic Analyses

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

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Last Updated: Jun 16, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

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Published on: October 25, 2018

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Reusable Single Cell for Iterative Epigenomic Analyses

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

Area of Science:

* Molecular Biology
* Cell Biology
* Cancer Research

Background:

* Single-cell analysis provides unparalleled insights into cellular heterogeneity, surpassing traditional population-based methods.
* Understanding cellular variations is key to deciphering complex biological processes like tumor evolution and therapy resistance.
* The phenotype-genotype relationship at the single-cell level is critical for cancer research.

Purpose of the Study:

* To review innovative strategies for selective cell isolation based on desired phenotypes.
* To highlight advanced tools for high-throughput single-cell phenotypic analysis and sorting.
* To underscore the importance of single-cell analysis in advancing cancer therapeutics.

Main Methods:

* Robotic aspiration for selective cell retrieval.
* Laser detachment for precise cell isolation.
* Microraft arrays for single-cell culture and analysis.
* Optical traps for manipulating individual cells.
* Droplet-based microfluidic systems for high-throughput screening.

Main Results:

* Demonstrated various innovative techniques for isolating cells based on specific phenotypes.
* Showcased advanced tools enabling high-throughput single-cell phenotypic analysis and sorting.
* Facilitated identification and characterization of specific cell subsets.

Conclusions:

* Selective cell isolation techniques are vital for detailed single-cell analysis.
* Advanced tools enhance the ability to study cellular heterogeneity in disease contexts like cancer.
* This approach is crucial for developing novel therapeutic strategies and understanding disease mechanisms.