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DeMBA: a developmental atlas for navigating the mouse brain in space and time

Author

Listed:
  • Harry Carey

    (University of Oslo)

  • Heidi Kleven

    (University of Oslo)

  • Martin Øvsthus

    (University of Oslo)

  • Sharon C. Yates

    (University of Oslo)

  • Gergely Csucs

    (University of Oslo)

  • Maja A. Puchades

    (University of Oslo)

  • Simon McMullan

    (Macquarie University)

  • Jan G. Bjaalie

    (University of Oslo)

  • Trygve B. Leergaard

    (University of Oslo)

  • Ingvild E. Bjerke

    (University of Oslo)

Abstract

Studies of the adult mouse brain have benefited from three-dimensional (3D) atlases providing standardised frameworks for data analysis and integration. However, few 3D atlases exist for the developing mouse brain, and none cover more than a few ages. This fails to represent the dynamic nature of development and is insufficient for researchers whose data fall between the ages of existent atlases. Existing atlases also neglect the spatial correspondence between ages, making comparison across ages difficult. We present the Developmental Mouse Brain Atlas (DeMBA), a 4D atlas encompassing every postnatal day from 4 to 56. DeMBA was created by using existing brain templates for six developmental time points and interpolating intermediate ages. DeMBA is incorporated in software for spatial registration and analysis, enabling brain-wide quantification of features of interest. Furthermore, we provide the software package CCF translator, allowing coordinates or image volumes to be transformed between ages for comparison. These resources provide age-specific spatial frameworks incorporated in accessible analytic pipelines for developmental mouse brain data.

Suggested Citation

  • Harry Carey & Heidi Kleven & Martin Øvsthus & Sharon C. Yates & Gergely Csucs & Maja A. Puchades & Simon McMullan & Jan G. Bjaalie & Trygve B. Leergaard & Ingvild E. Bjerke, 2025. "DeMBA: a developmental atlas for navigating the mouse brain in space and time," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63177-9
    DOI: 10.1038/s41467-025-63177-9
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    1. Fae N. Kronman & Josephine K. Liwang & Rebecca Betty & Daniel J. Vanselow & Yuan-Ting Wu & Nicholas J. Tustison & Ashwin Bhandiwad & Steffy B. Manjila & Jennifer A. Minteer & Donghui Shin & Choong Heo, 2024. "Developmental mouse brain common coordinate framework," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Ed S. Lein & Michael J. Hawrylycz & Nancy Ao & Mikael Ayres & Amy Bensinger & Amy Bernard & Andrew F. Boe & Mark S. Boguski & Kevin S. Brockway & Emi J. Byrnes & Lin Chen & Li Chen & Tsuey-Ming Chen &, 2007. "Genome-wide atlas of gene expression in the adult mouse brain," Nature, Nature, vol. 445(7124), pages 168-176, January.
    3. Harry Carey & Michael Pegios & Lewis Martin & Chris Saleeba & Anita J. Turner & Nicholas A. Everett & Ingvild E. Bjerke & Maja A. Puchades & Jan G. Bjaalie & Simon McMullan, 2023. "DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Lily R. Qiu & Darren J. Fernandes & Kamila U. Szulc-Lerch & Jun Dazai & Brian J. Nieman & Daniel H. Turnbull & Jane A. Foster & Mark R. Palmert & Jason P. Lerch, 2018. "Mouse MRI shows brain areas relatively larger in males emerge before those larger in females," Nature Communications, Nature, vol. 9(1), pages 1-15, December.
    5. Kyra T. Newmaster & Zachary T. Nolan & Uree Chon & Daniel J. Vanselow & Abigael R. Weit & Manal Tabbaa & Shizu Hidema & Katsuhiko Nishimori & Elizabeth A. D. Hammock & Yongsoo Kim, 2020. "Quantitative cellular-resolution map of the oxytocin receptor in postnatally developing mouse brains," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    6. Seung Wook Oh & Julie A. Harris & Lydia Ng & Brent Winslow & Nicholas Cain & Stefan Mihalas & Quanxin Wang & Chris Lau & Leonard Kuan & Alex M. Henry & Marty T. Mortrud & Benjamin Ouellette & Thuc Ngh, 2014. "A mesoscale connectome of the mouse brain," Nature, Nature, vol. 508(7495), pages 207-214, April.
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