ReviewCirculation research2018
Advances in Transcriptomics: Investigating Cardiovascular Disease at Unprecedented Resolution.
Review in Circulation research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 45 citations in OpenAlex.
- GANomics: bridging legacy and modern transcriptomic platforms for clinical applications.NPJ genomic medicine · 2026Article
- Transcriptomic analysis of differential expression and correlation of coding and non-coding RNAs in urine from patients with idiopathic membranous nephropathy.Biology direct · 2026Article
- Integrative transcriptomic and systems biology analysis of public SLE datasets identifies immune regulatory pathways.Journal of computer-aided molecular design · 2026Article
- Proteogenomics: decoding cancer in multiple dimensions.MedScience · 2026Review
- Emerging Cardiovascular Risk Factors in Chronic Kidney Disease in the "Omics" Era: Gut and Beyond.Mayo Clinic proceedings · 2026Review
- Astragali Radix-Carthami Flos alleviate brain-heart injury after cerebral ischemia/reperfusion via regulating TSPO signaling.NPJ science of food · 2025Article
- Identification of a splice site mutation in IL2RG in a Chinese boy with X-linked severe combined immunodeficiency.Genes & diseases · 2025Article
- Transcriptional characterization of sepsis in a LPS porcine model.Molecular genetics and genomics : MGG · 2025Article
- Genomics and multiomics in the age of precision medicine.Pediatric research · 2025Review
- Precision cardiovascular medicine: shifting the innovation paradigm.Frontiers in science · 2025Article
- Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease.Frontiers in neuroscience · 2025Article
- Identifying and Diagnosing Lytic Cell Death Genes in Atherosclerosis Using Machine Learning and Bioinformatics.Journal of inflammation research · 2025Article
- Addressing Cardiovascular Toxicity Risk of Electronic Nicotine Delivery Systems in the Twenty-First Century: "What Are the Tools Needed for the Job?" and "Do We Have Them?"Cardiovascular toxicology · 2024Review
- Multimodal Analytical Tools to Enhance Mechanistic Understanding of Aortic Valve Calcification.The American journal of pathology · 2024Review
- Review
- Recent Major Transcriptomics and Epitranscriptomics Contributions toward Personalized and Precision Medicine.Journal of personalized medicine · 2022Review
- Cardioinformatics: the nexus of bioinformatics and precision cardiology.Briefings in bioinformatics · 2020Article
- [Application of RNA sequencing in clinical diagnosis of Mendelian disease].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020Review
- Integrative Cluster Analysis of Whole Hearts Reveals Proliferative Cardiomyocytes in Adult Mice.Cells · 2020Article
- Expression of Calcification and Extracellular Matrix Genes in the Cardiovascular System of the Healthy Domestic Sheep (Frontiers in genetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Whole-genome transcriptional profiling has become a standard genomic approach to investigate biological processes. RNA sequencing (RNAseq) in particular has witnessed myriad applications in genetics and various biomedical fields. RNAseq involves a relatively simple experimental protocol of RNA extraction and cDNA library preparation and, because of decreasing next-generation sequencing cost and lower computational burden for data processing, has obtained a central role in the modern biology. The recent application of RNAseq methodology to single-cell transcriptional profiling has enabled the more precise characterization of cell lineage and cell state genetic profiles. The development of bioinformatic and statistical tools has provided for differential gene expression analysis, RNA isoform analysis, haplotype-specific analysis of gene expression (allele-specific expression), and analysis of expression quantitative trait loci. We give an overview of these and recent developments in RNAseq methodology with emphasis on quality control, read mapping, feature counting, differential gene expression, allele-specific expression and expression quantitative trait loci analysis, and fusion transcript detection. We describe utilization of RNAseq as a diagnostic tool in Mendelian diseases, complex phenotypes, and cancer and give an overview of long read RNAseq technology. Furthermore, we discuss in detail the recent revolution in single-cell transcriptomics that is reshaping modern biology.
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.