ReviewBriefings in bioinformatics2021
Spatial molecular profiling: platforms, applications and analysis tools.
Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images.bioRxiv : the preprint server for biology · 2026Article
- Article
- Mass spectrometry-based proteomics of FFPE tissues: progress, limitations, and clinical translation barriers.Clinical proteomics · 2025Review
- Unveiling spatial domains from spatial multi-omics data using dual-graph regularized ensemble learning.Communications biology · 2025Article
- BayeSMART: Bayesian clustering of multi-sample spatially resolved transcriptomics data.Briefings in bioinformatics · 2024Article
- Gene count normalization in single-cell imaging-based spatially resolved transcriptomics.Genome biology · 2024Article
- iIMPACT: integrating image and molecular profiles for spatial transcriptomics analysis.Genome biology · 2024Article
- Gene count normalization in single-cell imaging-based spatially resolved transcriptomics.bioRxiv : the preprint server for biology · 2024Article
- Multiplex protein imaging in tumour biology.Nature reviews. Cancer · 2024Review
- stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics.Briefings in bioinformatics · 2023Article
- Best practices for single-cell analysis across modalities.Nature reviews. Genetics · 2023Review
- Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk.Nature communications · 2022Article
- Review
- spatialGE: quantification and visualization of the tumor microenvironment heterogeneity using spatial transcriptomics.Bioinformatics (Oxford, England) · 2022Article
- Spatial components of molecular tissue biology.Nature biotechnology · 2022Review
- Spatial Transcriptome Uncovers the Mouse Lung Architectures and Functions.Frontiers in genetics · 2022Article
- Discovering Immune-Mediated Mechanisms of Gastric Carcinogenesis Through Single-Cell RNA Sequencing.Frontiers in immunology · 2022Review
- Computational solutions for spatial transcriptomics.Computational and structural biotechnology journal · 2022Review
- Medial Arterial Calcification: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2021Review
- Engineered Tools to Study Intercellular Communication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Molecular profiling technologies, such as genome sequencing and proteomics, have transformed biomedical research, but most such technologies require tissue dissociation, which leads to loss of tissue morphology and spatial information. Recent developments in spatial molecular profiling technologies have enabled the comprehensive molecular characterization of cells while keeping their spatial and morphological contexts intact. Molecular profiling data generate deep characterizations of the genetic, transcriptional and proteomic events of cells, while tissue images capture the spatial locations, organizations and interactions of the cells together with their morphology features. These data, together with cell and tissue imaging data, provide unprecedented opportunities to study tissue heterogeneity and cell spatial organization. This review aims to provide an overview of these recent developments in spatial molecular profiling technologies and the corresponding computational methods developed for analyzing such data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.