# Scalable integration of cell types and connectivity in the motor cortex of rodents and non-human primates

> **NIH NIH RF1** · ALLEN INSTITUTE · 2021 · $4,153,980

## Abstract

Project Summary
The BICCN has recently completed a broad survey of the cellular components of motor cortex, including
transcriptomic profiling, patch-seq, multiplexed FISH, inter-areal connectivity, and single neuron morphology.
Missing from this view is a detailed picture of how individual neurons and neuronal types interconnect, in large
part because acquiring a comprehensive picture of individual neuronal connections is best achieved with the
difficult methods of large-scale electron microscopic reconstructions. Further, there are no scalable methods to
assign transcriptomic cell classes to EM reconstructions, particularly when considering the myriad set of non-
local inputs. In order to fulfill the BICCN mandate, we need scalable methods for measuring connectivity that
can be integrated with cross-modal data, such as from Patch-seq, or with tools that target specific cell classes
in transgenic and non-transgenic species, such as non-human primate. Here, we propose to exploit both
approaches—retrospectively linking EM data with Patch-seq datasets or the prospective targeting of cell classes
labeling in EM reconstructions—with our large-scale electron microscopy pipeline, while continuing to improve
throughput and lower its overall cost. We propose to deploy these tools to examine the motor cortex of mouse
and non-human primate, to demonstrate a scalable approach to delivering data that integrate local cellular
morphology, ultrastructural detail, and specific local connectivity with transcriptomic information, from Patch-seq,
while identifying the source and cell type of individual afferents, with viral genetic tools.

## Key facts

- **NIH application ID:** 10369307
- **Project number:** 1RF1MH128840-01
- **Recipient organization:** ALLEN INSTITUTE
- **Principal Investigator:** Forrest Christie Collman
- **Activity code:** RF1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $4,153,980
- **Award type:** 1
- **Project period:** 2021-09-15 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10369307

## Citation

> US National Institutes of Health, RePORTER application 10369307, Scalable integration of cell types and connectivity in the motor cortex of rodents and non-human primates (1RF1MH128840-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10369307. Licensed CC0.

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