Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA Splicing01:32

RNA Splicing

60.4K
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...
60.4K
RNA Interference01:23

RNA Interference

27.9K
RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
27.9K
RNA Stability01:53

RNA Stability

35.7K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
35.7K
RNA Editing02:23

RNA Editing

9.8K
RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
9.8K
Normal Stress01:19

Normal Stress

1.4K
Normal stress is a type of stress that occurs when forces act perpendicular, or normal, to a material's cross-sectional area. This stress often arises in structures when subjected to axial loading, which is the application of force along the axis of an object. A practical example of this can be found in bridge truss members.
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...
1.4K
Bacterial RNA Polymerase00:43

Bacterial RNA Polymerase

32.6K
Unlike eukaryotes, bacteria use a single RNA Polymerase (RNAP) to transcribe all genes. The different subunits of bacterial RNAPhave distinct functions. The multisubunit structure of the bacterial RNAP helps the enzyme to maintain catalytic function, facilitate assembly, interact with DNA and RNA, and self-regulate its activity.
In most genes, the transcription site is a single base present upstream of the coding sequence. Though RNAP is a catalytically efficient enzyme, it does not recognize...
32.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

FFixR: A Machine Learning Framework for Accurate Somatic Mutation Calling from FFPE RNA-Seq Data in Cancer.

Bioinformatics (Oxford, England)·2026
Same author

Publisher Correction: Tumor transcriptional state predicts survival in immune-checkpoint-blockade-treated glioblastoma.

Nature cancer·2026
Same author

Tumor transcriptional state predicts survival in immune-checkpoint-blockade-treated glioblastoma.

Nature cancer·2026
Same author

Retrospective analysis of adaptation frequencies and factors in offline in offline adaptive proton therapy.

Journal of applied clinical medical physics·2026
Same author

Paired DNA and RNA sequencing uncovers common and rare variation regulating human retinal gene expression.

Nature communications·2026
Same author

Myeloma Precursors Erode Durable Immunity: Results of the IMPACT study.

Research square·2026
Same journal

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026
Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026
Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026
Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026
Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026
Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
15:07

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

27.3K

RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues.

Keren Yizhak1, François Aguet1, Jaegil Kim1

  • 1Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Science (New York, N.Y.)
|June 8, 2019
PubMed
Summary
This summary is machine-generated.

Somatic mutations and macroscopic clones are common in normal human tissues. Environmental factors, age, and cell division influence mutation accumulation, with implications for disease risk.

More Related Videos

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.7K
Isolation of CD133+ Liver Stem Cells for Clonal Expansion
12:06

Isolation of CD133+ Liver Stem Cells for Clonal Expansion

Published on: October 10, 2011

22.8K

Related Experiment Videos

Last Updated: Jan 23, 2026

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
15:07

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

27.3K
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.7K
Isolation of CD133+ Liver Stem Cells for Clonal Expansion
12:06

Isolation of CD133+ Liver Stem Cells for Clonal Expansion

Published on: October 10, 2011

22.8K

Area of Science:

  • Genomics
  • Cell Biology
  • Human Physiology

Background:

  • The accumulation of somatic mutations in normal cells is not well understood.
  • Understanding clonal expansion in normal tissues is crucial for disease etiology.

Purpose of the Study:

  • To investigate the prevalence and patterns of somatic mutations in normal human tissues.
  • To identify factors influencing somatic mutation accumulation and clonal expansion.

Main Methods:

  • Comprehensive analysis of RNA sequencing data from approximately 6700 samples across 29 normal human tissues.
  • Quantification of somatic variants and assessment of mutation burden.

Main Results:

  • Multiple somatic variants and macroscopic clones were identified in numerous normal tissues.
  • Sun-exposed skin, esophagus, and lung exhibited higher mutation burdens, suggesting environmental influences.
  • Mutation burden correlated with age and tissue-specific cell proliferation rates.
  • Normal tissues contained mutations in known cancer genes and hotspots.

Conclusions:

  • Somatic mosaicism is widespread in normal human tissues.
  • Environmental factors, aging, and cell proliferation are key drivers of somatic mutation accumulation.
  • This research provides a foundation for linking clonal expansion to disease risk.