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

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

7.5K
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...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Engineered PD1-NKG2D Dual-CAR NK92 cells broaden antitumor target recognition in preclinical tumor models.

Journal of translational medicine·2026
Same author

Competing programs shape cortical sensorimotor-association axis development.

Nature·2026
Same author

Genomic sequence evolution underlying human neocortical interareal diversification.

Genome biology·2026
Same author

RBMX functional retrocopy safeguards brain development in a species-dependent context.

Brain : a journal of neurology·2026
Same author

A Retinoic Acid Autoregulatory Loop Governing Prefrontal-Motor Arealization.

bioRxiv : the preprint server for biology·2026
Same author

Supported Nickel Molybdenum Sulfide Hydrocracking Catalysts Profit From Increased Proximity Between Acid and Metal Sites in the Tetralin Ring-Opening Performance.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026

Related Experiment Video

Updated: May 2, 2026

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis
10:25

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis

Published on: December 12, 2019

6.3K

Laminar and temporal expression dynamics of coding and noncoding RNAs in the mouse neocortex.

Sofia Fertuzinhos1, Mingfeng Li1, Yuka Imamura Kawasawa2

  • 1Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA.

Cell Reports
|February 25, 2014
PubMed
Summary

This study reveals distinct gene expression patterns across neocortical layers during development. It provides a comprehensive resource for understanding brain development and gene regulation.

More Related Videos

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

7.5K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

1.0K

Related Experiment Videos

Last Updated: May 2, 2026

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis
10:25

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis

Published on: December 12, 2019

6.3K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

7.5K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

1.0K

Area of Science:

  • Neuroscience
  • Genomics
  • Developmental Biology

Background:

  • The cerebral neocortex's six-layered structure is crucial for function.
  • Transcriptional events guiding neocortical development and function are not fully understood.

Purpose of the Study:

  • To investigate transcriptional differences among neocortical layers.
  • To analyze temporal dynamics of gene expression during postnatal development.

Main Methods:

  • Deep sequencing of mRNA and small RNA species.
  • Analysis of spatiotemporal expression and splicing patterns.
  • Identification of gene coexpression networks.

Main Results:

  • Identified coding and noncoding transcripts with specific layer- and time-dependent expression.
  • Discovered distinct developmental trajectories and gene networks.
  • Revealed transcriptional overlap between biological processes.
  • Provided data for studying microRNA (miRNA) and messenger RNA (mRNA) interactions.

Conclusions:

  • Offers an integrated view of transcriptomic dynamics in the developing mouse neocortex.
  • Serves as a valuable resource for neurodevelopment and transcriptome research.