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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...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...

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Single-cell Profiling of Developing and Mature Retinal Neurons
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Microarray analysis of gene expression during early development: a cautionary overview.

Claude Robert1

  • 1Laboratory of Functional Genomics of Early Embryonic Development, Laval University, Pavillon Comtois, Local 4221 Université Laval, Québec, Québec, Canada. claude.robert@fsaa.ulaval.ca

Reproduction (Cambridge, England)
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

Transcriptomics analysis of early embryos is crucial for reproductive biology. This review highlights sample preparation methods for accurate microarray data, addressing challenges in comparing datasets from different platforms.

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Area of Science:

  • Reproductive biology
  • Developmental biology
  • Genomics

Background:

  • 'Omics' technologies, particularly transcriptomics, are increasingly used to study gene expression in early mammalian development.
  • The scarcity of biological material in oocytes and early embryos makes transcriptomics valuable for reproductive biologists.
  • Microarrays are a common high-throughput method for analyzing gene expression but generate large datasets requiring careful interpretation.

Purpose of the Study:

  • To review best practices for preparing prehatching embryo samples for microarray analysis.
  • To identify critical sample-handling steps impacting microarray data quality.
  • To discuss challenges hindering direct comparison of transcriptomic datasets across different platforms.

Main Methods:

  • Investigation of sample-handling procedures for prehatching embryo microarray data generation.
  • Analysis of factors influencing downstream results in transcriptomic studies.
  • Literature review focusing on methodological challenges in early embryo transcriptomics.

Main Results:

  • Key sample-handling steps significantly impact the quality and comparability of microarray data from early embryos.
  • Direct comparison between transcriptomic datasets from different studies is often difficult due to significant discrepancies.
  • Methodological benchmarking using somatic cells may not be suitable for the unique nature of prehatching development.

Conclusions:

  • Standardized and optimized sample preparation methods are essential for reliable transcriptomic analysis of early embryos.
  • Addressing platform and methodological differences is critical for advancing comparative transcriptomics in reproductive biology.
  • Understanding the atypical nature of prehatching development is key to interpreting transcriptomic data accurately.