Biology subjects

Stenzig, J.

Publications and source records attributed to Stenzig, J..

3 recordsLinked to original sources

bioRxiv2026

Dynamic BMP10 Release Reflects Atrial Fibrillation Burden in Human Atrial Engineered Heart Tissue

Background: Atrial fibrillation (AF) burden is increasingly recognized as a determinant of clinical risk. Currently, AF burden can only be estimated using long-term rhythm monitoring. Bone morphogenetic protein 10 (BMP10) is a protein secreted from cardiac atria associated with AF and AF-related complications. This study evaluated whether BMP10 concentrations are associated with AF burden in a human atrial model: atrial engineered heart tissue (aEHT). Methods: Human induced pluripotent stem cell-derived atrial cardiomyocytes were cast into atrial engineered heart tissues (aEHTs). To mimic AF burden, mature aEHTs were optogenetically-paced at a high rate of 4 Hz, either intermittently for 4 hours every 2 days (~10% burden) or continuously for 24 hours per day (100% burden). After 18 days of high-rate pacing intervention, 7 days of recovery without pacing followed. BMP10 release was quantified by ELISA and contractile function was assessed by video analysis. EHT transcriptional remodeling in response to mimicked AF burden was assessed by RNA sequencing and the effect of recovery was analyzed by qPCR. Results: High-rate optogenetic pacing mimicking AF lead to a dynamic, burden-dependent BMP10 release: BMP10 concentrations in the medium were increased by intermittent optogenetic pacing (~10% burden) and highest under continuous optogenetic pacing (100% burden). BMP10 release declined toward control levels during recovery. Contractile dysfunction was most impaired after continuous pacing and showed only partial recovery within 7 days after pacing cessation. RNA sequencing revealed distinct burden-dependent transcriptional states. Pacing-regulated transcripts were related to BMP/TGF{beta} signaling, atrial identity, calcium handling, contractile phenotype, and electrophysiological remodeling. After recovery, BMP10 mRNA expression remained elevated despite normalization of BMP10 protein release. Conclusions: AF burden dynamically regulates BMP10 release and functional and molecular remodeling in human aEHTs. BMP10 release depicts a secreted protein-based readout of current or recent atrial high-rate stress, whereas persistent transcriptional changes indicate molecular memory of prior AF burden. These findings support BMP10 release as a burden-sensitive AF biomarker

pharmacology and toxicology↗

bioRxiv2026

High throughput single-cell RNA sequencing of intact adult cardiomyocytes and non-myocytes using a split-pool approach

MOTIVATIONAdult cardiomyocytes are difficult to profile by whole-cell single-cell RNA sequencing because of their large size and fragility, which make them poorly compatible with standard workflows. Current approaches for adult cardiomyocyte transcriptomics often require a trade-off between data quality and throughput, thus, studies instead rely heavily on sequencing of nuclei alone. Therefore, we set out to develop a high-quality and scalable workflow for adult heart cells using in-cell ligation and split-pool barcoding strategies to address this methodological gap. This workflow may be further generalisable to other large cell types or samples containing cell populations with highly unequal RNA content. SUMMARYAdult cardiomyocytes are difficult to profile by whole-cell single-cell RNA sequencing (scRNA-seq). Here, we developed a high-quality and scalable workflow for adult heart cells using in-cell ligation and split-pool barcoding. We identified per-cell RNA content as a significant variable that must be accounted for. Separation of cardiomyocytes (large cells) and non-cardiomyocytes (small cells) before library construction, and allocation of deeper sequencing to cardiomyocytes, produced high-quality whole-cell datasets for both compartments. Compared with single-nucleus RNA sequencing, whole-cell cardiomyocyte profiling better recovered metabolic, mitochondrial, cytoplasmic translational, and contractile gene programs. This workflow provides a practical method for scalable, high-quality cardiomyocyte whole-cell scRNA-seq and offers general strategies for other large cell types or samples containing cell populations with highly unequal RNA content.

cell biology↗

bioRxiv2021

Long noncoding RNA VENTHEART is required for cardiomyocyte specification and function

RationaleLong noncoding RNAs (lncRNAs) control cardiac gene expression during heart development and disease. It is accordingly plausible for the same lncRNA to regulate both cardiac development, as well as play a role in adult heart disease progression. lncRNA regulators of early cardiomyocyte (CM) lineage commitment have been identified and characterised, however those controlling later CM specification remain unknown. ObjectivesIn this study we identified a novel lncRNA required for CM specification, maturation and function, and also discovered its suggested relevance to heart disease. Methods and ResultsWe performed single cell RNA-seq on human embryonic stem cell derived cardiomyocytes at 2, 6 and 12 weeks of differentiation. Weighted correlation network analysis (WGCNA) identified core gene modules, including lncRNAs highly abundant and uniquely expressed in the human heart. A lncRNA (we call VENTHEART, VHRT) co-expressed with cardiac maturation and ventricular-specific genes MYL2 and MYH7, as well as in adult human ventricular tissue. CRISPR-mediated excision of VHRT led to impaired CM sarcomere formation, and loss of the CM specification gene program. VHRT knockdown (KD) in hESC-CMs confirmed its regulatory role for key cardiac contraction, calcium hemostasis and heart development genes, including MYH6 and RYR2. Functional evaluation after VHRT KD using impedance-based technology and action potential recordings, proved reduced contraction amplitude and loss of the ventricular-like action potential in CM, respectively. Through an integrative analysis of genome-wide association studies (GWAS), expression quantitative trait locus (eQTL) and gene co-expression network, we found VHRT to be co-regulated with core cardiac contractile genes, and the likely source of a heart failure genetic association signal overlapping the VHRT gene locus. Finally, VHRT KD and human failing heart transcriptome comparison validates the consistent downregulation again of cardiac contractile and calcium regulatory genes (P<0.05). ConclusionWe conclude that VHRT lncRNA is required for proper CM specification and function. Furthermore, reduced VHRT may contribute to the development or progression of human heart disease.

cell biology↗