ArticleFrontiers in genetics2021
Visualization and Analysis of Gene Expression in Stanford Type A Aortic Dissection Tissue Section by Spatial Transcriptomics.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed, 23 citations in OpenAlex.
- Spatial transcriptomic analysis reveals spatial features in human Stanford type A aortic dissection.iScience · 2026Article
- A D-dimer and ADAMTS8 based multi-marker score for the diagnosis of acute aortic dissection.Scientific reports · 2026Article
- Animal Models of Aortic Aneurysm and Dissection: A Comparative Guide for Mechanism, Therapeutic Testing, and Translational Readouts.Biomedicines · 2026Review
- Aortic dissection as a disease of vascular wall homeostasis: integrating vasa vasorum-inflammation-metabolism axis for mechanistic insight and clinical translation.Frontiers in immunology · 2026Review
- Spatial Transcriptomics Decodes Breast Cancer Microenvironment Heterogeneity: From Multidimensional Dynamic Profiling to Precision Therapy Blueprint Construction.Biomolecules · 2025Review
- Application of Spatial Omics in the Cardiovascular System.Research (Washington, D.C.) · 2025Review
- SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data.Genome biology · 2024Article
- New discoveries in the field of metabolism by applying single-cell and spatial omics.Journal of pharmaceutical analysis · 2023Review
- ScRNA-seq and spatial transcriptomics: exploring the occurrence and treatment of coronary-related diseases starting from development.Frontiers in cardiovascular medicine · 2023Review
- Single-cell and spatial transcriptomics: Advances in heart development and disease applications.Computational and structural biotechnology journal · 2023Review
- A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Clinical challenges of tissue preparation for spatial transcriptome.Clinical and translational medicine · 2022Article
- Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection.Frontiers in cardiovascular medicine · 2022Review
- Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis.Journal of immunology research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.