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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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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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What is Gene Expression?01:42

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Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
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What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
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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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Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Alternative RNA Splicing02:18

Alternative RNA Splicing

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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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Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
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Non-coding RNA Expression, Function, and Variation during Drosophila Embryogenesis.

Ignacio E Schor1, Giovanni Bussotti2, Matilda Maleš3

  • 1Genome Biology Unit, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany; Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-CONICET), Departamento de Fisiología, Biología Molecular y Celular, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina.

Current Biology : CB
|November 6, 2018
PubMed
Summary
This summary is machine-generated.

Long non-coding RNAs (lncRNAs) are newly found to be dynamically expressed during fruit fly development. While many lncRNAs fine-tune gene expression, most deletions do not impact development or viability.

Keywords:
bystander expressionembryonic developmentgenetic variationlncRNAnon-coding RNAnon-essential genestranscription

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Area of Science:

  • Developmental Biology
  • Genomics
  • Molecular Biology

Background:

  • Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in gene regulation.
  • Their essentiality and broad function in developmental processes and organismal phenotypes remain largely uncharacterized.

Purpose of the Study:

  • To comprehensively investigate the expression and functional significance of lncRNAs during Drosophila embryogenesis.
  • To identify novel lncRNAs and determine their roles in development, tissue specificity, and genetic variation.

Main Methods:

  • Analysis of lncRNA expression across multiple developmental stages and genetic backgrounds in Drosophila.
  • Fluorescent in situ hybridization (FISH) to determine spatiotemporal expression patterns.
  • Gene deletion studies to assess developmental and viability phenotypes.

Main Results:

  • Nearly doubled the number of annotated lncRNAs expressed during Drosophila embryonic development.
  • Identified dynamic, tissue-specific expression patterns for 15 newly characterized lncRNAs.
  • Deletion of most lncRNA genes showed no significant impact on development or viability, though some fine-tuned gene expression.

Conclusions:

  • lncRNAs exhibit dynamic and tissue-specific expression during Drosophila embryogenesis.
  • While some lncRNAs fine-tune gene expression, they are generally not essential for viability or major developmental processes.
  • Strain-specific lncRNA expression highlights their potential role in rapid evolution and adaptation.