AstroID resource: a scalable, relational database structure for longitudinal biomarker discovery

This effort provides a database model for investigators conducting research on large volumes of biospecimens with clinical annotation. We have now deployed this structure in our laboratories and have over 1B cells spatially mapped, each effectively tagged with the clinical information from longitudinal patient experiences. While the description uses the example of cancer biomarkers, this data structure could be used to characterize longitudinal biospecimens from any disease process. In the near future, automatic synchronization between the electronic medical record and one or more AstroID databases is anticipated.

Authors

Institutions

Publication Details

Journal
Journal for ImmunoTherapy of Cancer
Published
2025-12-01
DOI
https://doi.org/10.1136/jitc-2025-012235
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AstroID resource: a scalable, relational database structure for longitudinal biomarker discovery

Evan J. Lipson, Andrew Jorquera, Sigfredo Soto-Diaz, Alexander S. Szalay et al.
Journal for ImmunoTherapy of Cancer
Cell Image Analysis Techniques
article

AstroID resource: a scalable, relational database structure for longitudinal biomarker discovery

Evan J. Lipson, Andrew Jorquera, Sigfredo Soto-Diaz, Alexander S. Szalay, Joel Sunshine, Ludmila Danilova, Janis M. Taube, L. A. Cope, Govind Warrier, Scott Carey, Aasheen Qadri, Julie S. Deutsch, Tricia R. Cottrell, L. Engle, Benjamin Green, Elizabeth Will, Qingfeng C Zhu, Robert A Anders, Daphne Wang
article en

Abstract

This effort provides a database model for investigators conducting research on large volumes of biospecimens with clinical annotation. We have now deployed this structure in our laboratories and have over 1B cells spatially mapped, each effectively tagged with the clinical information from longitudinal patient experiences. While the description uses the example of cancer biomarkers, this data structure could be used to characterize longitudinal biospecimens from any disease process. In the near future, automatic synchronization between the electronic medical record and one or more AstroID databases is anticipated.

Journal for ImmunoTherapy of CancerVol. 13(12)
Johns Hopkins University (US), Queen's University (CA), Johns Hopkins Medicine (US), Foundation Center (US), Sidney Kimmel Comprehensive Cancer Center (US)
Bristol-Myers Squibb, Melanoma Research Alliance, Johns Hopkins University, Regeneron Pharmaceuticals, Mark Foundation For Cancer Research, Moderna, Genentech, National Cancer Institute
Openalex Percentile: Top 21%
Cell Image Analysis Techniques
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.