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Related Concept Videos

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.
Transgenic Plants02:50

Transgenic Plants

Recombinant DNA technology called transgenesis is often used to add a foreign gene or remove a detrimental gene from an organism. Such genetically modified organisms are called transgenic organisms.
The first-ever transgenic plant was a tobacco plant developed in 1983 that showed resistance against the tobacco mosaic virus. Since then, many transgenic plants have been developed and commercialized for improving the agricultural, ornamental, and horticultural value of a crop plant. Transgenic...
Reporter Genes02:11

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: May 26, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
08:33

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Next-generation sequencing technologies for gene expression profiling in plants.

Mukesh Jain1

  • 1National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India. mjain@nipgr.res.in

Briefings in Functional Genomics
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Next-generation sequencing (NGS) offers advanced gene expression profiling for plants. This review explores NGS applications, data analysis challenges, and recent progress in plant biology research.

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Last Updated: May 26, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
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Area of Science:

  • Plant Biology
  • Genomics
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) offers significant advantages for gene expression profiling.
  • While widely used in animal systems, NGS applications in plant biology are less explored.
  • Understanding transcriptional complexity is crucial for answering fundamental biological questions.

Purpose of the Study:

  • To review the application of NGS technologies for gene expression profiling in plants.
  • To discuss the bioinformatics challenges in analyzing NGS data for plant transcriptomes.
  • To highlight recent advances and future prospects in plant genomics research using NGS.

Main Methods:

  • Literature review of studies utilizing NGS for gene expression profiling in plants.
  • Analysis of bioinformatics tools and methodologies for NGS data interpretation.
  • Synthesis of current understanding and future directions in plant transcriptomics.

Main Results:

  • NGS enables detailed analysis of plant transcriptomes, revealing unprecedented complexity.
  • Bioinformatics challenges include handling large datasets and developing specialized analytical pipelines.
  • Significant progress has been made in applying NGS to diverse plant research areas.

Conclusions:

  • NGS technologies are powerful tools for advancing plant biology research.
  • Overcoming bioinformatics hurdles is key to fully leveraging NGS in plant genomics.
  • Future studies using NGS will deepen our understanding of complex plant genomes.