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

Forced Transdifferentiation01:28

Forced Transdifferentiation

1.9K
Transdifferentiation, also known as lineage reprogramming, was first discovered by Selman and Kafatos in 1974 in silkmoths. They observed that the moths’ cuticle-producing cells transformed into salt-producing cells. Many such cases of natural transdifferentiation occur in organisms. In humans, pancreatic alpha cells can become beta cells. In newts, the loss of the eye’s lens causes the pigmented epithelial cells to transdifferentiate into the lens cells.
Artificial...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Delineating the clinical and molecular spectrum of the neurodevelopmental disorder associated with SET.

Genetics in medicine : official journal of the American College of Medical Genetics·2026
Same author

The mTOR-Dop1a-Agpat2 axis regulates nuclear phospholipid homeostasis.

iScience·2026
Same author

A next-generation episignature for Kabuki syndrome enables fine mapping of the impact of KMT2D variants to inform precision medicine.

American journal of human genetics·2026
Same author

DNM1-related disorder is characterized by recurrent variants and phenotypic homogeneity.

medRxiv : the preprint server for health sciences·2026
Same author

Correction: Comprehensive analysis of CNOT3-related neurodevelopmental disorders: phenotypic and genotypic characterization.

European journal of human genetics : EJHG·2026
Same author

Systematic analysis of snRNA genes reveals frequent RNU2-2 variants in dominant and recessive developmental and epileptic encephalopathies.

Nature genetics·2026
Same journal

Bi-allelic variants in CDK20 cause a severe ciliopathy with midline brain and facial anomalies.

American journal of human genetics·2026
Same journal

Bi-allelic missense variants in human GPN2 result in Perrault syndrome.

American journal of human genetics·2026
Same journal

Integrative analysis of gastric tissue transcriptomes and gastric cancer GWAS implicates candidate susceptibility genes.

American journal of human genetics·2026
Same journal

A transparent and generalizable deep-learning framework for genomic ancestry prediction.

American journal of human genetics·2026
Same journal

Data-driven RNA phenotyping captures genetically regulated dimensions of the transcriptome.

American journal of human genetics·2026
Same journal

Linkage disequilibrium and allelic heterogeneity explain variation in coronary artery disease risk at 9p21 across populations and reduced effect in Africans.

American journal of human genetics·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2025

Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay
10:57

Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay

Published on: August 14, 2018

10.6K

RNA variant assessment using transactivation and transdifferentiation.

Emmylou C Nicolas-Martinez1, Olivia Robinson1, Christian Pflueger2

  • 1The Robinson Research Institute, University of Adelaide, Adelaide, SA 5005, Australia; School of Biomedicine, University of Adelaide, Adelaide, SA 5005, Australia.

American Journal of Human Genetics
|July 31, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed novel methods to activate "silent" Mendelian genes (SMGs) in cells, enabling RNA studies for variant classification and precision medicine. These techniques overcome limitations in studying genes with low expression in accessible tissues.

More Related Videos

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K
Adenoviral Transduction of Naive CD4 T Cells to Study Treg Differentiation
15:33

Adenoviral Transduction of Naive CD4 T Cells to Study Treg Differentiation

Published on: August 13, 2013

15.9K

Related Experiment Videos

Last Updated: Jun 18, 2025

Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay
10:57

Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay

Published on: August 14, 2018

10.6K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K
Adenoviral Transduction of Naive CD4 T Cells to Study Treg Differentiation
15:33

Adenoviral Transduction of Naive CD4 T Cells to Study Treg Differentiation

Published on: August 13, 2013

15.9K

Area of Science:

  • Genomics
  • Molecular Biology
  • Genetic Medicine

Background:

  • Understanding splicing and nonsense variants' impact on RNA is vital for variant classification and precision medicine.
  • RNA studies using clinically accessible tissues (CATs) are key but limited by insufficient disease gene expression in 1,436 Mendelian disease genes (SMGs).
  • Neurological disorders account for the largest proportion (36%) of these silent Mendelian genes (SMGs).

Purpose of the Study:

  • To develop and validate methods for inducing expression of silent Mendelian genes (SMGs) in human dermal fibroblasts (HDFs).
  • To enable RNA-based investigations of variant impacts on SMGs for improved variant classification and precision medicine.
  • To apply these functional genomic solutions to study specific disease-associated genes (USH2A, SCN1A, DMD, PAK3).

Main Methods:

  • CRISPR-activation-based gene transactivation to induce SMG expression.
  • Fibroblast-to-neuron transdifferentiation to promote SMG expression.
  • Development of a highly multiplexed transactivation system and application of RNA sequencing (short- and long-read).

Main Results:

  • The multiplexed transactivation system induced expression of 20/20 (100%) tested SMGs in HDFs (6- to 90,000-fold induction).
  • Transdifferentiation of HDFs to neurons resulted in expression of 193/516 (37.4%) of neurologically implicated SMGs.
  • Induced SMG expression magnitude and isoform diversity were comparable to clinically relevant tissues.

Conclusions:

  • Transactivation and transdifferentiation are rapid, scalable functional genomic solutions for investigating SMG variants.
  • These methods overcome barriers in RNA-based variant impact studies, particularly for genes with low expression in accessible tissues.
  • The approaches facilitate variant classification and advance the suitability of precision medicine interventions.