{"id":437443,"date":"2026-05-07T19:35:09","date_gmt":"2026-05-07T19:35:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/437443\/"},"modified":"2026-05-07T19:35:09","modified_gmt":"2026-05-07T19:35:09","slug":"scientists-map-thousands-of-brain-connections-with-rna-barcodes","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/437443\/","title":{"rendered":"Scientists Map Thousands of Brain Connections With RNA Barcodes"},"content":{"rendered":"

\"Commingling<\/a>Comingling RNA barcodes, each correlating to a neuron, indicate where neurons connect in the brain, letting researchers map neural connection with speed, scale and resolution. Credit: Michael VincentA new \u201cbarcode\u201d technique is unlocking the brain\u2019s hidden wiring faster than ever.<\/p>\n

Scientists have created a new way to map how brain cells connect by assigning each neuron a unique molecular \u201cbarcode.\u201d Using this approach, they were able to trace connections among thousands of neurons in the mouse brain with a level of speed and detail that was not possible before.<\/p>\n

This technique could help researchers better understand how complex brain networks are organized, how they operate, and what changes when things go wrong. It may also offer new insight into how neurodegenerative diseases develop and progress.<\/p>\n

\u201cWhen engineering a computer, you need to know the circuitry of the central processing unit. If you don\u2019t know how everything is wired together, you can\u2019t understand its function, optimize it, or fix it when something breaks. We are approaching the brain the same way,\u201d said study leader Boxuan Zhao, a professor of cell and developmental biology at the University of Illinois Urbana-Champaign.<\/p>\n

\u201cOur technology enables simultaneous mapping of thousands of neural connections with single-synapse resolution \u2014 a capability that doesn\u2019t exist in any current technology. It is directly applicable to understanding circuit dysfunction in neurodegenerative diseases and could provide a platform for developing circuit-guided therapeutic interventions,\u201d he said.<\/p>\n

The findings were reported in the journal Nature Methods.<\/p>\n

Why Traditional Brain Mapping Is So Challenging<\/p>\n

Building a map of the brain has historically been slow and difficult. Researchers typically had to slice brain tissue into extremely thin sections, image those slices with microscopes, and then reconstruct the pathways by hand. While newer sequencing-based tools can label many neurons at once, they usually show where a neuron extends rather than identifying the exact partner it connects with at the synapse, Zhao said.<\/p>\n

Connectome-seq Turns Brain Wiring Into Sequencing Data<\/p>\n

To overcome these limits, Zhao\u2019s team developed a system called Connectome-seq. This method uses RNA \u201cbarcodes\u201d to uniquely label each neuron. Specialized proteins transport these barcodes from the neuron\u2019s main body to the synapse, the point where two neurons meet.<\/p>\n

Once there, the synaptic junctions are isolated and analyzed using high-throughput sequencing. By reading which barcode pairs appear together, scientists can determine which neurons are directly connected, allowing large-scale mapping of neural networks.<\/p>\n

\u201cWe translated the neural connectivity problem into a sequencing problem. Imagine a big bunch of balloons. The main body of each balloon has its unique barcode stickers all over it, and some move down to the end of the string. If two balloons are tied together at the end, the two barcodes meet at the junction,\u201d Zhao said. \u201cThen we snip out the knots and sequence the barcodes in each one. If the same knot has stickers from balloon A and balloon B, we know these two balloons are tied together. We are doing this in the brain, just on the level of thousands of neuron cells. With this information, we can reconstruct a sophisticated map that represents the connections among all these seemingly floaty groups.\u201d<\/p>\n

Discovering New Neural Connections in the Brain<\/p>\n

Using Connectome-seq, the researchers mapped more than 1,000 neurons within a mouse brain circuit known as the pontocerebellar circuit, which links two separate brain regions. This analysis uncovered previously unknown patterns of connectivity, including direct links between cell types that had not been shown to connect in the adult brain.<\/p>\n

\u201cWith improvements already underway in our lab, we are confident that we can make it even better and eventually reach the goal of mapping the whole mouse brain,\u201d Zhao said.<\/p>\n

Implications for Alzheimer\u2019s and Brain Disorders<\/p>\n

Because Connectome-seq is both fast and capable of covering large areas, it could accelerate research into neurodegenerative diseases, psychiatric disorders, and other neurological conditions. By comparing brain connections in healthy brains with those at different stages of disease, scientists may be able to identify early changes in neural circuits.<\/p>\n

\u201cWith sequencing-based approaches, the time and cost are greatly reduced, which really makes it possible to see differences in different brains. We could see where connections change, where the most vulnerable parts of the brain are, perhaps before symptoms even appear,\u201d Zhao said. \u201cFor example, if we can catch where exactly the weak link is that kick-starts the whole catastrophic cascade in Alzheimer\u2019s disease, can we specifically strengthen those connections to where the disease slows or does not progress?\u201d<\/p>\n

Reference: \u201cConnectome-seq: high-throughput mapping of neuronal connectivity at single-synapse resolution via barcode sequencing\u201d by Danping Chen, Alina Isakova, Zhou Wan, Mark J. Wagner, Yunming Wu and Boxuan Simen Zhao, 12 March 2026, Nature Methods.
DOI: 10.1038\/s41592-026-03026-9<\/a><\/p>\n

The research was supported by a Neuro-omics Initiative grant from Wu Tsai Neurosciences Institute of Stanford University, along with funding from the Elsa U. Pardee Foundation and the Edward Mallinckrodt Jr. Foundation.<\/p>\n

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