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RNA-seq03:21

RNA-seq

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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...
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Ribosome Profiling02:24

Ribosome Profiling

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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...
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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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Next-generation Sequencing03:00

Next-generation Sequencing

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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....
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Translation01:31

Translation

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Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
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Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.

Isabelle Heifetz Ament1, Nicole DeBruyne2, Feng Wang3

  • 1Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Molecular Therapy : the Journal of the American Society of Gene Therapy
|November 20, 2024
PubMed
Summary
This summary is machine-generated.

Long-read RNA sequencing (RNA-seq) offers a comprehensive view of the human transcriptome, surpassing short-read methods. This technology is vital for understanding RNA variations in human diseases.

Keywords:
RNA modificationRNA-seqisoformlong-readtranscriptomics

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Short-read RNA sequencing (RNA-seq) has limitations in capturing full-length transcripts.
  • Understanding the complete transcriptome is crucial for biological research and disease studies.

Purpose of the Study:

  • To provide an overview of long-read RNA sequencing technology.
  • To highlight its advantages over short-read RNA-seq.
  • To summarize recent advancements and applications in human transcriptomics.

Main Methods:

  • Review of existing literature on long-read RNA sequencing.
  • Analysis of experimental and computational approaches.
  • Compilation of diverse applications in human disease research.

Main Results:

  • Long-read RNA-seq enables end-to-end sequencing of full-length transcripts.
  • It reveals RNA species and features missed by short-read methods.
  • Recent advances enhance its power for transcriptomics.

Conclusions:

  • Long-read RNA sequencing is a powerful tool for comprehensive human transcriptome studies.
  • It is increasingly important for exploring transcriptome variations in human diseases.
  • This technology is foundational for future transcriptomic research.