ArticleCirculation. Cardiovascular genetics2016
Decoding the Long Noncoding RNA During Cardiac Maturation: A Roadmap for Functional Discovery.
Article in Circulation. Cardiovascular genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Decoding Long Noncoding RNAs in Cardiac Development and Congenital Heart Disease: Recent Advances and Clinical Perspectives.Circulation. Genomic and precision medicine · 2026Review
- Importance of long non-coding RNAs in the pathogenesis, diagnosis, and treatment of myocardial infarction.International journal of cardiology. Heart & vasculature · 2024Review
- Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024Article
- Single-cell transcriptional landscape of long non-coding RNAs orchestrating mouse heart development.Cell death & disease · 2023Article
- Mapping Chromatin Occupancy ofCells · 2023Article
- Mapping Chromatin Occupancy ofbioRxiv : the preprint server for biology · 2023Article
- ASXL3 gene mutations inhibit cell proliferation and promote cell apoptosis in mouse cardiomyocytes by upregulating lncRNA NONMMUT063967.2.Biochemistry and biophysics reports · 2023Article
- Cmarr/miR-540-3p axis promotes cardiomyocyte maturation transition by orchestrating Dtna expression.Molecular therapy. Nucleic acids · 2022Article
- Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart Disease.Disease markers · 2022Article
- Recessive ciliopathy mutations in primary endocardial fibroelastosis: a rare neonatal cardiomyopathy in a case of Alstrom syndrome.Journal of molecular medicine (Berlin, Germany) · 2021Article
- Mitochondria and metabolic transitions in cardiomyocytes: lessons from development for stem cell-derived cardiomyocytes.Stem cell research & therapy · 2021Review
- LncRNAs in Cardiomyocyte Maturation: New Window for Cardiac Regenerative Medicine.Non-coding RNA · 2021Review
- Aerobic exercise improves cardiac function in rats with chronic heart failure through inhibition of the long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1).Annals of translational medicine · 2021Article
- Comparative Transcriptome Analysis of Gayal (Frontiers in genetics · 2021Article
- Long Noncoding RNAs in Cardiac Development.Cold Spring Harbor perspectives in biology · 2020Review
- Regulation of cardiomyocyte maturation during critical perinatal window.The Journal of physiology · 2020Review
- Gene-environment regulation of chamber-specific maturation during hypoxemic perinatal circulatory transition.Journal of molecular medicine (Berlin, Germany) · 2020Article
- Dysregulated micro-RNAs and long noncoding RNAs in cardiac development and pediatric heart failure.American journal of physiology. Heart and circulatory physiology · 2020Review
- Ppp1r1b-lncRNA inhibits PRC2 at myogenic regulatory genes to promote cardiac and skeletal muscle development in mouse and human.RNA (New York, N.Y.) · 2020Article
Corrections and comments
- Commented on by
Authors and funding
10 authors.
Funding
Abstract
backgroundCardiac maturation during perinatal transition of heart is critical for functional adaptation to hemodynamic load and nutrient environment. Perturbation in this process has major implications in congenital heart defects. Transcriptome programming during perinatal stages is an important information but incomplete in current literature, particularly, the expression profiles of the long noncoding RNAs (lncRNAs) are not fully elucidated. METHODS AND
resultsFrom comprehensive analysis of transcriptomes derived from neonatal mouse heart left and right ventricles, a total of 45 167 unique transcripts were identified, including 21 916 known and 2033 novel lncRNAs. Among these lncRNAs, 196 exhibited significant dynamic regulation along maturation process. By implementing parallel weighted gene co-expression network analysis of mRNA and lncRNA data sets, several lncRNA modules coordinately expressed in a developmental manner similar to protein coding genes, while few lncRNAs revealed chamber-specific patterns. Out of 2262 lncRNAs located within 50 kb of protein coding genes, 5% significantly correlate with the expression of their neighboring genes. The impact of Ppp1r1b-lncRNA on the corresponding partner gene Tcap was validated in cultured myoblasts. This concordant regulation was also conserved in human infantile hearts. Furthermore, the Ppp1r1b-lncRNA/Tcap expression ratio was identified as a molecular signature that differentiated congenital heart defect phenotypes.
conclusionsThe study provides the first high-resolution landscape on neonatal cardiac lncRNAs and reveals their potential interaction with mRNA transcriptome during cardiac maturation. Ppp1r1b-lncRNA was identified as a regulator of Tcap expression, with dynamic interaction in postnatal cardiac development and congenital heart defects.
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.