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

RNA-seq

RNA-seq

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...

You might also read

Related Articles

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

Sort by

Same author

A Polymer Electrolyte for Rechargeable Magnesium Batteries Synergistically Constructed Based on Deep Eutectic Electrolytes and Polymer Network.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Cryo-EM reveals a right-handed double-helix dimer architecture of PCDH15.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

The feedback regulation between DREB2C and E3 ligases DEL1/DEL2 for balancing the initial growth and ABA signaling in Arabidopsis.

The New phytologist·2026

Same author

POINTseq: Cell-type-specific barcoding reveals single-cell projection architecture of the mouse dopaminergic system.

Neuron·2026

Same author

BARseq3: a modular system for integrating spatial multi-omics and cellular barcoding in single cells.

bioRxiv : the preprint server for biology·2026

Same author

Cell type-specific barcoding reveals the single-neuron projectional architecture of the mouse midbrain dopaminergic system.

bioRxiv : the preprint server for biology·2026

Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026

Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026

Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026

Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026

Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026

Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 16, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

MAPseq2: a sensitive barcoded connectomics method.

Hyopil Kim¹, Huihui Qi¹, Craig Washington¹

¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.

Biorxiv : the Preprint Server for Biology

|April 15, 2026

Summary

This summary is machine-generated.

We developed MAPseq2, a new protocol for mapping neural connections. This method is more sensitive and cost-effective, improving individual neuron projection mapping for neuroscience research.

More Related Videos

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Related Experiment Videos

Last Updated: Apr 16, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Area of Science:

Neuroscience
Molecular Biology
Genomics

Background:

Neuronal projection mapping is crucial for understanding brain circuitry.
Existing methods like MAPseq translate neuroanatomy into DNA sequencing data.
There is a need for more sensitive and cost-effective connectomics tools.

Purpose of the Study:

To introduce MAPseq2, an improved protocol for barcoded connectomics.
To enhance sensitivity and reduce costs for neuronal projection mapping.
To ensure improvements are transferable to related technologies like BARseq, BRICseq, and ConnectID.

Main Methods:

Development of a user-friendly protocol, MAPseq2.
Utilizing DNA sequencing to analyze neuroanatomical data.
Benchmarking MAPseq2 against the previous state-of-the-art MAPseq protocol.

Main Results:

MAPseq2 achieves up to a 10-fold increase in sensitivity.
MAPseq2 reduces costs by approximately 10-fold.
The protocol is compatible with and improves existing MAPseq workflows.

Conclusions:

MAPseq2 offers a significant advancement in high-throughput neuronal projection mapping.
The enhanced sensitivity and reduced cost make connectomics more accessible.
Improvements in MAPseq2 are directly applicable to BARseq, BRICseq, and ConnectID technologies.