Tissue-to-Bytes: A Catalytic Digital Twin Platform for Consortium-Scale Integration of Single-Cell Omics Data Across the BRAIN Initiative Cell Atlas Network

The NIH BRAIN Initiative Cell Atlas Network (BICAN) is a collaborative effort among neuroscientists, computational biologists, and data scientists to create reference brain cell atlases to be used by the research community as a molecular and anatomical foundational framework for the study of human brain function and disorders. Coordinated sharing and management of the scarce human brain tissue, across lifespans and among the eleven participating BICAN centers and laboratories with anatomical precision, is a formidable undertaking. Creating and operating the necessary data production pipelines with de novo metadata standards prospectively established to adhere to the highest possible levels of Findable, Accessible, Interoperable, and Reusable (FAIR) data principles, present unparalleled challenges that place BICAN into uncharted territories. A digital twin paradigm has been formulated and operationalized to manage advanced single-cell molecular techniques and complexity of data production workflows that are used in the BICAN consortium. The Neuroanatomy-anchored Information Management Platform (NIMP) implements the digital twin paradigm from conception to design, to production. NIMP is an agile, extensible, catalytic infrastructure for integrative and collaborative BICAN consortium-scale FAIR data generation. Digital-twin thinking ensures that NIMP provides tissue-to-bytes, end-to-end integration of data production pipelines spanning brain banks, laboratories, sequencing centers, and data archives. NIMP's digital twin characteristics are manifested in the coupling of real-world workflows occurring in the BICAN laboratories with their digital counterparts moving progressively through verifiable provenance lineage paths. The implementation of NIMP' digital twin features are grounded on advanced informatics strategies that include codification of anatomical contexts; standardized tissue request and sharing workflows, library preparation, sequencing, and single-cell omics data generation and deposition. These workflows and processes are governed by standardized Common Data Elements (CDEs); tracked by blockchain-inspired resource-identifiers (ID); ingested and edited using role-based access control (RBAC); and accessed by query-embedded dashboarding and atlas-enabled interactive resource exploration with dynamically rendered Sankey diagrams. In three years, NIMP has managed data and metadata for 762 human donors, 8,449 brain slabs, and 21,781 sequencing libraries across 11 laboratories, resulting in an estimated total of over 18 million cells for Basal Ganglia alone. The NIMP digital twin paradigm not only serves BICAN; it provides a blueprint for future-proof data coordination at consortium scale.

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-09
DOI
https://doi.org/10.64898/2025.12.06.692733
Citations
4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
3.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tissue-to-Bytes: A Catalytic Digital Twin Platform for Consortium-Scale Integration of Single-Cell Omics Data Across the BRAIN Initiative Cell Atlas Network

4 citations
bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomics
3.22
article

Tissue-to-Bytes: A Catalytic Digital Twin Platform for Consortium-Scale Integration of Single-Cell Omics Data Across the BRAIN Initiative Cell Atlas Network

article en
4 citations

Abstract

The NIH BRAIN Initiative Cell Atlas Network (BICAN) is a collaborative effort among neuroscientists, computational biologists, and data scientists to create reference brain cell atlases to be used by the research community as a molecular and anatomical foundational framework for the study of human brain function and disorders. Coordinated sharing and management of the scarce human brain tissue, across lifespans and among the eleven participating BICAN centers and laboratories with anatomical precision, is a formidable undertaking. Creating and operating the necessary data production pipelines with de novo metadata standards prospectively established to adhere to the highest possible levels of Findable, Accessible, Interoperable, and Reusable (FAIR) data principles, present unparalleled challenges that place BICAN into uncharted territories. A digital twin paradigm has been formulated and operationalized to manage advanced single-cell molecular techniques and complexity of data production workflows that are used in the BICAN consortium. The Neuroanatomy-anchored Information Management Platform (NIMP) implements the digital twin paradigm from conception to design, to production. NIMP is an agile, extensible, catalytic infrastructure for integrative and collaborative BICAN consortium-scale FAIR data generation. Digital-twin thinking ensures that NIMP provides tissue-to-bytes, end-to-end integration of data production pipelines spanning brain banks, laboratories, sequencing centers, and data archives. NIMP's digital twin characteristics are manifested in the coupling of real-world workflows occurring in the BICAN laboratories with their digital counterparts moving progressively through verifiable provenance lineage paths. The implementation of NIMP' digital twin features are grounded on advanced informatics strategies that include codification of anatomical contexts; standardized tissue request and sharing workflows, library preparation, sequencing, and single-cell omics data generation and deposition. These workflows and processes are governed by standardized Common Data Elements (CDEs); tracked by blockchain-inspired resource-identifiers (ID); ingested and edited using role-based access control (RBAC); and accessed by query-embedded dashboarding and atlas-enabled interactive resource exploration with dynamically rendered Sankey diagrams. In three years, NIMP has managed data and metadata for 762 human donors, 8,449 brain slabs, and 21,781 sequencing libraries across 11 laboratories, resulting in an estimated total of over 18 million cells for Basal Ganglia alone. The NIMP digital twin paradigm not only serves BICAN; it provides a blueprint for future-proof data coordination at consortium scale.

bioRxiv (Cold Spring Harbor Laboratory)
Allen Institute for Brain Science (US), Allen Institute (US), The University of Texas Health Science Center at Houston (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Single-cell and spatial transcriptomics
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.