A phenotype-based forward genetic screen identifies <i>Dnajb6</i> as a sick sinus syndrome gene.
Yong-He DingDi LangJianhua YanHaisong BuHongsong LiKunli JiaoJingchun YangHaibo NiStefano MorottiTai LeKarl J ClarkJenna PortStephen C EkkerHung CaoYuji ZhangJun WangEleonora GrandiZhiqiang LiYongyong ShiYigang LiAlexey V GlukhovXiaolei XuPublished in: eLife (2022)
Previously we showed the generation of a protein trap library made with the gene-break transposon (GBT) in zebrafish (<i>Danio rerio</i>) that could be used to facilitate novel functional genome annotation towards understanding molecular underpinnings of human diseases (Ichino et al, 2020). Here, we report a significant application of this library for discovering essential genes for heart rhythm disorders such as sick sinus syndrome (SSS). SSS is a group of heart rhythm disorders caused by malfunction of the sinus node, the heart's primary pacemaker. Partially owing to its aging-associated phenotypic manifestation and low expressivity, molecular mechanisms of SSS remain difficult to decipher. From 609 GBT lines screened, we generated a collection of 35 zebrafish insertional cardiac (ZIC) mutants in which each mutant traps a gene with cardiac expression. We further employed electrocardiographic measurements to screen these 35 ZIC lines and identified three GBT mutants with SSS-like phenotypes. More detailed functional studies on one of the arrhythmogenic mutants, <i>GBT411</i>, in both zebrafish and mouse models unveiled <i>Dnajb6</i> as a novel SSS causative gene with a unique expression pattern within the subpopulation of sinus node pacemaker cells that partially overlaps with the expression of hyperpolarization activated cyclic nucleotide gated channel 4 (HCN4), supporting heterogeneity of the cardiac pacemaker cells.
Keyphrases
- genome wide
- copy number
- poor prognosis
- genome wide identification
- induced apoptosis
- atrial fibrillation
- left ventricular
- dna methylation
- heart failure
- binding protein
- high throughput
- lymph node
- cell cycle arrest
- vena cava
- endothelial cells
- mouse model
- long non coding rna
- transcription factor
- gene expression
- endoplasmic reticulum stress
- cell death
- genome wide analysis
- blood pressure
- amino acid
- rna seq
- inferior vena cava