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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Related Experiment Video

Updated: May 23, 2026

Reusable Single Cell for Iterative Epigenomic Analyses
10:28

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

New array approaches to explore single cells genomes.

Evelyne Vanneste1, Lilach Bittman, Niels Van der Aa

  • 1Laboratory for Cytogenetics and Genome Research, Center for Human Genetics, Katholieke Universiteit Leuven, Universitair Ziekenhuis Gasthuisberg Leuven, Belgium.

Frontiers in Genetics
|April 18, 2012
PubMed
Summary
This summary is machine-generated.

Single cell genome analysis using microarray techniques is challenging but advancing. This review covers single cell DNA amplification and array methods for studying human embryos.

Keywords:
BAC arraySNP arrayarray analysischromosomal instabilityoligoarraysingle cell

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Detection of Copy Number Alterations Using Single Cell Sequencing
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Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Area of Science:

  • Genomics
  • Molecular Biology
  • Reproductive Science

Background:

  • Microarray analysis is effective for genome-wide copy number variation (CNV) detection and chromosomal instability studies in bulk DNA.
  • Accurate analysis of single cell genomes presents significant technical challenges compared to multi-cell samples.

Purpose of the Study:

  • To review single cell DNA amplification techniques.
  • To provide an overview of various array-based approaches for genomic analysis.
  • To discuss the application of these methods in the study of human embryos.

Main Methods:

  • Review of existing literature on single cell DNA amplification.
  • Examination of different microarray platforms and methodologies.
  • Discussion of data analysis strategies for single cell genomic data.

Main Results:

  • Single cell DNA amplification methods are crucial for enabling genome-wide analysis.
  • Array comparative genomic hybridization (aCGH) and single nucleotide polymorphism (SNP) arrays are key technologies.
  • Challenges remain in achieving high accuracy and resolution for single cell CNV detection.

Conclusions:

  • Advancements in amplification and array technologies are improving single cell genome analysis.
  • These techniques hold significant potential for understanding human embryonic development and genetic disorders.
  • Further optimization is needed for routine clinical application in preimplantation genetic diagnosis.