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RNA Splicing01:32

RNA Splicing

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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
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Review and Preview01:10

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Review and Preview01:13

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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A network of RS splicing regulatory proteins controls light-dependent splicing and seedling development.

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Related Experiment Video

Updated: Feb 10, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

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Review: Specificity determinants of the plant splicing code.

Rica Burgardt1, Hannah Walter1, Andreas Wachter1

  • 1Institute for Molecular Physiology (imP), University of Mainz, Hanns-Dieter-Hüsch-Weg 17, 55128 Mainz, Germany.

Journal of Experimental Botany
|February 9, 2026
PubMed
Summary

Alternative splicing (AS) increases transcriptome complexity in plants by regulating gene expression. Novel methods reveal how splicing regulatory proteins and RNA motifs control precise AS outputs.

Keywords:
cis-regulatorytrans-actingArabidopsisRNA structureSR proteinalternative splicinghnRNPphotomorphogenesissplicing

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Area of Science:

  • Molecular Biology
  • Genetics
  • Plant Science

Background:

  • Alternative splicing (AS) enhances transcriptome complexity and gene expression reprogramming in response to environmental signals.
  • Technological advancements allow for high-throughput, accurate analysis of transcriptome-wide AS patterns.
  • Established methods in plants enable profiling of splicing regulatory protein interactions with pre-mRNAs.

Purpose of the Study:

  • To review current knowledge on alternative splicing regulation in plants.
  • To discuss the roles of cis-regulatory elements and trans-acting splicing regulators.
  • To explore how precision and specificity in AS are achieved despite simple binding motifs and redundant functions.

Main Methods:

  • Transcriptome-wide analysis of alternative splicing patterns.
  • Profiling of in vivo interactions between splicing regulatory proteins and pre-mRNAs.
  • Functional studies of individual alternative splicing events.

Main Results:

  • Identification of critical components of the plant splicing code, including cis-elements and trans-acting factors.
  • Understanding the concerted action of these components in splice site selection.
  • Characterization of dynamic and complex AS outputs generated by the spliceosome.

Conclusions:

  • Alternative splicing regulation in plants involves intricate networks of cis-elements and trans-acting regulators.
  • Despite simple target motifs and redundant functions, precise and specific AS is achievable.
  • This review synthesizes current understanding and highlights future research directions in plant AS.