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Comprehensive Single-Cell Transcriptomic Atlas of the Mouse Pons and Medulla

dataset
posted on 2025-02-05, 07:10 authored by Muhammad JunaidMuhammad Junaid, Eun Jeong Lee, Su Bin Lim

This integrated dataset represents the large-scale transcriptomics cell atlas of pons and medulla, compiled from 8 independent single-cell/single-nucleus RNA sequencing (sc/sn-RNA seq) datasets. This integration was performed using a standardized bioinformatic workflow, clustering, and marker-based annotation. This dataset compromised 317, 985 quality passed cells with 45 cell types.

This dataset offers a valuable source for single-cell neuroscience to understand region-specific molecular insights and their cellular diversity.

The "Final_Integrated_Pons_Medulla.rds" and "Pons_Medulla_Neurons_level_3.rds" contain the normalized expression data of all identified major cell types with their subtypes.

Funding

S.B.L is supported by the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HR22C1734) and the National Research Foundation (NRF) of Korea (2020R1A6A1A03043539, 2020M3A9D8037604, 2022R1C1C1004756). E.J.L is supported by the NRF of Korea (2022R1C1C1005741 and RS-2023-00217595).

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