ArticleCurrent opinion in hematology2021
Enhancing cardiovascular research with whole-organ imaging.
Article in Current opinion in hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Review
- A Perturb-seq screen guided by species divergence uncovers pathways for collateral artery formation.bioRxiv : the preprint server for biology · 2026Article
- 3D vascular quantitation with application to computational modeling: a pre-clinical light sheet microscopy, high resolution ultrasound, nano-computed tomography comparison study.bioRxiv : the preprint server for biology · 2026Article
- Mechanosensitive PIEZO2 channels shape coronary artery development.Nature cardiovascular research · 2025Article
- Article
- Article
- 3D Imaging Reveals Complex Microvascular Remodeling in the Right Ventricle in Pulmonary Hypertension.Circulation research · 2024Article
- Blood flow modeling reveals improved collateral artery performance during the regenerative period in mammalian hearts.Nature cardiovascular research · 2022Article
- Targeting calcineurin induces cardiomyocyte proliferation in adult mice.Nature cardiovascular 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
2 authors.
Funding
Abstract
purpose of reviewThere have been tremendous advances in the tools available for surveying blood vessels within whole organs and tissues. Here, we summarize some of the recent developments in methods for immunolabeling and imaging whole organs and provide a protocol optimized for the heart. RECENT
findingsMultiple protocols have been established for chemically clearing large organs and variations are compatible with cell type-specific labeling. Heart tissue can be successfully cleared to reveal the three-dimensional structure of the entire coronary vasculature in neonatal and adult mice. Obtaining vascular reconstructions requires exceptionally large imaging files and new computational methods to process the data for accurate vascular quantifications. This is a continually advancing field that has revolutionized our ability to acquire data on larger samples as a faster rate. SUMMARY: Historically, cardiovascular research has relied heavily on histological analyses that use tissue sections, which usually sample cellular phenotypes in small regions and lack information on whole tissue-level organization. This approach can be modified to survey whole organs but image acquisition and analysis time can become unreasonable. In recent years, whole-organ immunolabeling and clearing methods have emerged as a workable solution, and new microscopy modalities, such as light-sheet microscopy, significantly improve image acquisition times. These innovations make studying the vasculature in the context of the whole organ widely available and promise to reveal fascinating new cellular behaviors in adult tissues and during repair.
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.