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Biology subjects

Hein, L.

Publications and source records attributed to Hein, L..

7 recordsLinked to original sources

Transcriptional targets of senataxin and E2 promoter binding factors are associated with neuro-degenerative pathways during increased autophagic flux

Autophagy is an intracellular recycling process that degrades harmful molecules, maintains optimal composition of cellular organelles and enables survival during starvation. Previous studies have demonstrated how transcription factors (TFs) can increase autophagy with therapeutic potential (impaired autophagy in the ageing brain, in particular, may be an important risk factor for dementia). To investigate the transcriptional regulation of autophagy from a systems perspective, we induced autophagy by amino acid starvation and mTOR inhibition in HeLa, HEK 293 and SH-SY5Y cells and used RNA-seq to measure gene expression at three time points. We observed 453 differentially expressed (DE) genes due to starvation and 284 genes due to mTOR inhibition (PFDR < 0.05 in every cell line). Pathway analyses confirmed enrichment of genes implicated in Alzheimers (PFDR < 0.001 in SH-SY5Y and HeLa) and Parkinsons (PFDR [&le;] 0.024 in SH-SY5Y and HeLa) diseases and amyotrophic lateral sclerosis (ALS, PFDR < 0.05 in 4 of 6 experiments). We then integrated Signaling Pathway Impact Analysis and TF target enrichment testing to predict which TF target genes were contributing to pathway perturbation. Differential expression of the Senataxin (SETX) target gene set was predicted to activate multiple neurodegenerative pathways (PFDR [&le;] 0.04). Notably, SETX is a causal gene for a rare form of ALS. In the SH-SY5Y cells of neuronal origin, the E2F transcription family was predicted to activate Alzheimers disease pathway (PFDR [&le;] 0.0065). SETX and E2F may be important mediators of transcriptional regulation of autophagy and may provide new therapeutic opportunities for neuro-degenerative conditions.

genomics↗

Sequential defects in cardiac lineage commitment and maturation cause hypoplastic left heart syndrome

BackgroundComplex molecular programs in specific cell lineages govern human heart development. Hypoplastic left heart syndrome (HLHS) is the most common and severe manifestation within the spectrum of left ventricular outflow tract obstruction defects occurring in association with ventricular hypoplasia. The pathogenesis of HLHS is unknown, but hemodynamic disturbances are assumed to play a prominent role. MethodsTo identify perturbations in gene programs controlling ventricular muscle lineage development in HLHS, we performed: i) whole-exome sequencing of 87 HLHS parent-offspring trios, ii) nuclear transcriptomics of cardiomyocytes from ventricles of 4 patients with HLHS and 15 controls at different stages of heart development, iii) single cell RNA sequencing and iv) 3D modeling in iPSCs from 3 patients with HLHS and 3 controls. ResultsGene set enrichment and protein network analyses of damaging de-novo mutations and dysregulated genes from ventricles of patients with HLHS suggested alterations in specific gene programs and cellular processes critical during fetal ventricular cardiogenesis, including cell-cycle and cardiomyocyte maturation. Single-cell and 3D modeling with iPSCs demonstrated intrinsic defects in the cell-cycle/UPR/autophagy hub resulting in disrupted differentiation of early cardiac progenitor lineages leading to defective cardiomyocyte-subtype differentiation/maturation in HLHS. Additionally, premature cell-cycle exit of ventricular cardiomyocytes from HLHS patients prevented normal tissue responses to developmental signals for growth leading to multinucleation/polyploidy, accumulation of DNA damage, and exacerbated apoptosis, all potential drivers of left ventricular hypoplasia in absence of hemodynamic cues. ConclusionsOur results highlight that despite genetic heterogeneity in HLHS, many mutations converge on sequential cellular processes primarily driving cardiac myogenesis, suggesting novel therapeutic approaches.

developmental biology↗

Data-driven streamflow modelling in ungauged basins: regionalizing random forest (RF) models

Streamflow predictions in ungauged basins (PUB) has been geared towards data-driven methods, including the use of machine learning methods such as random forest (RF). Such methods are applied in PUB regionalization or the transfer of a streamflow model from gauged to ungauged (sub) basins or watersheds after grouping watersheds on similarity rules. Regionalized streamflow models are needed for tropical-mountainous regions like Luzon, Philippines - where gauged data is limited - but demands on streamflow modelling for water resources accounting and management are high. In 21 watersheds in Luzon, we "regionalize" RF streamflow models after grouping watersheds based on: a principal components analysis (PCA-clustered), by major river basins (basin-clustered), whole study area scale (one-clustered). Another method without watershed grouping (watershed-level) was also included and inter-compared. Among the four methods, goodness-of-fit evaluations revealed that PCA-clustered method was higher by at most 0.35 coefficient of determination R2 and 0.31 nash-sutcliffe efficiency NSE, and the least bias in 8 of 12 monthly flows. These are attributed to the added-value of homogeneous watershed grouping, reflected by higher importance (to RF models), of static covariates from open and high-resolution data. Normalized errors from monthly streamflow showed a clear bias (least with the PCA-clustered metohd), linked to season and water management practices in the study area. Ungauged watersheds in the Philippines can effectively use streamflow models from gauged watersheds if they belong to the same cluster. Key PointsO_LIUngauged sub-basins (watersheds) can effectively use RF streamflow models from gauged watersheds if both belong to the same cluster. C_LIO_LIBiophysical data from high-resolution open data are valuable: as basis for watershed clustering and as streamflow predictors to RF models. C_LIO_LIThe predicted streamflow from the RF models reflects seasonal deviations in streamflow caused by natural and man-made water regulation C_LI

ecology↗

Genome-wide association study in European patients with congenital heart disease identifies risk loci for transposition of the great arteries and anomalies of the thoracic arteries and veins and expression of discovered candidate genes in the developing heart

RationaleGenetic factors undoubtedly contribute to the development of congenital heart disease (CHD), but still remain mostly ill-defined. ObjectiveIdentification of genetic risk factors associated with CHD and functional analysis of SNP-carrying genes. Methods and ResultsGenetic association study of 1,440 Caucasian CHD patients from the German Heart Center Munich collected from March 2009 to June 2016, 2,594 patients of previous studies provided by the Newcastle University and 8,486 controls underwent meta-analysis to detect single nucleotide polymorphisms (SNPs) associated with CHD. Results4,034 Caucasian CHD patients strictly classified according to the Society of Thoracic Surgeons nomenclature and 8,486 controls were included. One SNP on chromosome 5 reached genome-wide significance across all CHD phenotypes (rs185531658,OR:2.16, p=5.28x10-9) and was also indicative for septal defects (OR:2.16, p=6.15x10-8). One region on chromosome 20 pointing to the MACROD2 locus, identified four SNPs (rs150246290,OR:3.78, p=1.27x10-10; rs149890280,OR:3.74, p=1.8x10-10; rs149467721,OR:3.53; p=1.39x10-9, rs77094733,OR:3.53, p=1.73x10-9) in patients with transposition of the great arteries (TGA). A second region was detected on chromosome 8 located at ZBTB10 (rs148563140,OR:3.42, p=3.28x10-8; rs143638934,OR:3.42, p=3.51x10-8) in the same subgroup. Three highly significant risk variants on chromosome 17 (rs76774446,OR:1.60, p=9.95x10-8; rs11874,OR:1.60, p=6.64x10-8; rs17677363,OR:1.60, p=9.81x10-8) within the GOSR2 locus were identified in patients with anomalies of thoracic arteries and veins (ATAV). Genetic variants associated with ATAV are suggested to influence expression of WNT3, and variant rs870142 related to septal defects is proposed to influence expression of MSX1. Cardiac differentiation of human and murine induced pluripotent stem cells and single cell RNAseq analyses of developing murine and human hearts show essential functional roles for MACROD2, GOSR2, WNT3 and MSX1 at all developmental stages. ConclusionsFor the first time genetic risk factors in CHD patients with TGA and ATAV were identified. Several candidate genes play an essential functional role in heart development at the embryonic, newborn and adult stage.

genomics↗

Specificity of Gβ and γ subunits to SNARE complex both at rest and after α2aadrenergic receptor stimulation

Though much is known about the various physiological functions of each GPCR and the specificity of G subunits, the specificity of G{beta}{gamma} activated by a given GPCR and activating each effector in vivo is not known. Previously, we identified different G{beta} and G{gamma} subunits interacting specifically with 2a-adrenergic receptors (2aAR). In this study, we examined its in vivo specificity to the soluble NSF attachment proteins (SNARE) complex in adrenergic (auto-2aAR) and non-adrenergic (hetero-2aAR) neurons. We applied a quantitative targeted multiple reaction monitoring proteomic analysis of G{beta} and G{gamma} subunits bound to the SNARE complex, and found only a subset of G{beta} and G{gamma} bound. Without stimulation of auto-2aAR, G{beta}1 and G{gamma}3 interacted with the SNARE complex. When auto-2aAR were activated, G{beta}1, G{beta}2, and G{gamma}3 were found. Further understanding of in vivo G{beta}{gamma} specificity to its effectors provides new insights into the multiplicity of genes for G{beta} and G{gamma}. SummarySpecific G{beta}{gamma} dimers interact with the SNARE complex following presynaptic 2aAR activation in both adrenergic and non-adrenergic neurons.

biochemistry↗

Eomes and Brachyury control pluripotency exit and germ layer segregation by changes of chromatin state

The first lineage specification of pluripotent mouse epiblast segregates neuroectoderm (NE) from mesoderm and endoderm (ME) by currently poorly understood mechanisms. Here we demonstrate that the induction of any ME-gene programs critically relies on the T-box (Tbx) transcription factors Eomes and Brachyury that concomitantly repress pluripotency and NE gene programs. Tbx-deficient cells retain pluripotency and differentiate to NE lineages despite the presence of ME-inducing signals TGF{beta}/Nodal and WNT. Pluripotency and NE gene networks are additionally repressed by Tbx-induced ME factors, demonstrating a remarkable redundancy in program regulation to safeguard mutually exclusive lineage specification. Chromatin analyses revealed that accessibility of ME-gene enhancers depends on Tbx-binding, while NE-gene enhancers are accessible and activation-primed already at pluripotency state. This asymmetry of chromatin landscape thus explains the default differentiation of pluripotent cells to NE in the absence of ME-induction mediated through the activating and repressive functions of early Tbx factors Eomes and Brachyury.

developmental biology↗

Distinct epigenetic programs regulate cardiac myocyte development and disease in the human heart in vivo

Epigenetic mechanisms and transcription factor networks essential for differentiation of cardiac myocytes have been uncovered. However, reshaping of the epigenome of these terminally differentiated cells during fetal development, postnatal maturation and in disease remains unknown. Thus, the aim of this study was to determine the dynamics of the cardiac myocyte epigenome during development and in chronic heart failure. Prenatal development and postnatal maturation are characterized by a cooperation of active CpG methylation and histone marks at cis-regulatory and genic regions to shape the cardiac myocyte transcriptome. In contrast, pathological gene expression in terminal heart failure is accompanied by changes in active histone marks without major alterations in CpG methylation and repressive chromatin marks. Notably, cis-regulatory regions in cardiac myocytes are significantly enriched for cardiovascular disease-associated variants. This study uncovers distinct layers of epigenetic regulation not only during prenatal development and postnatal maturation but also in diseased human cardiac myocytes.

genomics↗