Back

K9HeartCircDB: A circRNA Atlas of Tachypacing-Induced Canine Dilated Cardiomyopathy

Chinmaya, C.;Sinha, T.;Nisini, N.;Wang, T.;Natarajaseenivasan, S.;Berretta, R.;Rai, A.;Panda, A.;Elrod, J.;Kishore, R.;Houser, S.;Recchia, F.;Garikipati, V.

2026-06-22 Systems Biology
10.64898/2026.06.16.732655 bioRxiv
Show abstract

Cardiovascular disease (CVD) remains a leading cause of death worldwide. Dilated cardiomyopathy (DCM), a major cause of heart failure (HF), exhibits ventricular dilation, impaired systolic/diastolic function, arrythmias, and adverse cardiac remodeling. While genetic causes of DCM have been extensively studied, non-genetic and acquired forms of DCM-like HF are less well characterized, especially with respect to non-coding RNA regulation. Circular RNAs (circRNAs) are stable, covalently closed non-coding RNAs that regulate cellular function via sequestering miRNAs, RNA-binding proteins, or translation. Their role in canine HF that recapitulates features of non-genetic DCM remains largely unexplored. To address this, we developed K9HeartCircDB (https://www.k9heartcircdb.com/), a publicly accessible database that catalogs circRNAs expressed in canine left ventricular (LV) tissues under tachypacing-induced HF, a model of non-genetic DCM-like disease, and healthy control conditions. The online interface enables users to query and explore circRNAs based on exon composition, predicted miRNA binding sites, protein-coding potential, siRNA targets, and primer design for experimental validation. By providing an integrated and user-friendly platform for canine heart circRNA exploration, K9HeartCircDB offers a valuable resource to facilitate mechanistic and advance translational studies on non-genetic DCM-like disease.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 19%
9.8%
2
Circulation
74 papers in training set
Top 0.4%
6.8%
3
Scientific Reports
3612 papers in training set
Top 12%
6.4%
4
Circulation Research
47 papers in training set
Top 0.2%
6.4%
5
eLife
5828 papers in training set
Top 20%
5.6%
6
Journal of the American Heart Association
140 papers in training set
Top 2%
5.2%
7
Nature Communications
5641 papers in training set
Top 32%
4.1%
8
Database
61 papers in training set
Top 0.2%
3.6%
9
npj Genomic Medicine
36 papers in training set
Top 0.2%
2.8%
50% of probability mass above
10
Nucleic Acids Research
1281 papers in training set
Top 6%
2.7%
11
Genome Medicine
183 papers in training set
Top 2%
2.2%
12
International Journal of Molecular Sciences
494 papers in training set
Top 7%
1.9%
13
JCI Insight
277 papers in training set
Top 4%
1.8%
14
Cardiovascular Research
37 papers in training set
Top 0.6%
1.8%
15
BMC Genomics
406 papers in training set
Top 4%
1.7%
16
Genome Biology
637 papers in training set
Top 6%
1.5%
17
JACC: Basic to Translational Science
21 papers in training set
Top 0.4%
1.5%
18
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 31%
1.5%
19
European Heart Journal
22 papers in training set
Top 0.9%
1.5%
20
Advanced Science
286 papers in training set
Top 6%
1.4%
21
RNA Biology
78 papers in training set
Top 0.8%
1.4%
22
Circulation: Genomic and Precision Medicine
48 papers in training set
Top 0.6%
1.1%
23
Communications Biology
993 papers in training set
Top 20%
1.1%
24
Frontiers in Physiology
106 papers in training set
Top 2%
1.1%
25
Journal of Molecular and Cellular Cardiology
40 papers in training set
Top 0.5%
1.1%
26
Journal of Translational Medicine
57 papers in training set
Top 2%
1.1%
27
Cell Reports
1498 papers in training set
Top 26%
0.9%
28
PLOS Biology
486 papers in training set
Top 11%
0.9%
29
EMBO Molecular Medicine
95 papers in training set
Top 2%
0.9%
30
Nature Cardiovascular Research
33 papers in training set
Top 0.7%
0.9%