Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Retina

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.

You might also read

Related Articles

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

Sort by

Same author

Autonomous biomedical research with an artificial intelligence agent.

Science (New York, N.Y.)·2026

Same author

Unified Transcriptome and Mechanics Map of the Intact Mammalian Preimplantation Embryo In Situ.

bioRxiv : the preprint server for biology·2026

Same author

Disordered protein LAT encodes relative levels of signaling pathways in T cell activation.

Science (New York, N.Y.)·2026

Same author

Experimental and computational methods for allelic imbalance analysis from single-nucleus RNA-seq data.

Genome biology·2026

Same author

Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states.

Cell systems·2026

Same author

Mutant ribosomal protein RPS15 drives B cell malignancy through oxidative stress and genomic instability.

Nature communications·2026

Search research articles

Related Experiment Video

Updated: May 3, 2026

Single-cell Profiling of Developing and Mature Retinal Neurons

Single-cell Profiling of Developing and Mature Retinal Neurons

Published on: April 19, 2012

Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics.

Karthik Shekhar¹, Sylvain W Lapan², Irene E Whitney³

¹Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.

|August 28, 2016

Summary

Researchers classified mouse retinal bipolar cells (BCs) using single-cell RNA profiling, identifying 15 types, including two novel ones. This advances neuronal classification with a comprehensive molecular taxonomy.

More Related Videos

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments

Published on: January 16, 2024

Related Experiment Videos

Last Updated: May 3, 2026

Single-cell Profiling of Developing and Mature Retinal Neurons

Single-cell Profiling of Developing and Mature Retinal Neurons

Published on: April 19, 2012

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments

Published on: January 16, 2024

Area of Science:

Neuroscience
Genomics
Cell Biology

Background:

Neuronal classification is crucial for understanding brain function.
Existing methods face challenges in comprehensiveness and harmonization.
Gene expression patterns offer a molecular basis for neuronal taxonomy.

Purpose of the Study:

To develop a comprehensive and harmonized molecular classification of mouse retinal bipolar cells (BCs).
To identify novel neuronal types and markers within the BC population.
To establish a systematic methodology for neuronal classification.

Main Methods:

Massively parallel single-cell RNA sequencing of approximately 25,000 mouse retinal bipolar cells.
Optimized computational analyses for molecular data interpretation.
Validation of molecular classification through matching gene expression to cell morphology.

Main Results:

A molecular classification of mouse retinal bipolar cells into 15 distinct types was established.
Two novel bipolar cell types were identified, one with unusual morphology and location.
Dozens of novel markers distinguishing these neuronal types were discovered.

Conclusions:

The study provides a systematic methodology for comprehensive molecular classification of neurons.
Novel neuronal types and transcriptional differences within a neuronal class were uncovered.
This work refines the taxonomy of retinal bipolar cells and offers new molecular markers.