Biology subjects

Schmartz, G. P.

Publications and source records attributed to Schmartz, G. P..

3 recordsLinked to original sources

bioRxiv2026

Physiological re-replication during human stem cell differentiation

During defined developmental windows in Drosophila, controlled re-replication generates physiological gene amplification. Although gene amplification has also been observed during human stem cell differentiation, re-replication in human cells has largely been linked to tumor-associated genome instability. Here, we demonstrate that re-replication likewise operates as a physiological mechanism in human stem cells. Using Rerep-Seq and DNA fiber-combing, we identify distinct phases of re-replication during the differentiation of human myoblasts into myotubes and during the lineage commitment of mesenchymal stem cells toward adipogenic, osteogenic, chondrogenic, and neuronal fates. In all differentiation systems examined, re-replication occurred within defined temporal windows. FACS-isolated re-replicating cells exhibited elevated gene expression using RNA-Seq specifically within re-replicated genomic regions. Moreover, re-replicated DNA was detected as extranuclear DNA. These findings support a model in which cells that do not undergo re-replication, and thus avoid increased chromosomal instability, may nonetheless boost the expression of differentiation-relevant genes by acquiring re-replicated DNA released from neighboring re-replicating cells. We propose that human stem cells exploit an evolutionarily conserved re-replication mechanism to transiently increase gene copy number and thereby meet the heightened protein demands associated with differentiation.

genomics↗

bioRxiv2023

ABC-HuMi: the Atlas of Biosynthetic Gene Clusters in the Human Microbiome

The human microbiome has emerged as a rich source of diverse and bioactive natural products, harboring immense potential for therapeutic applications. To facilitate systematic exploration and analysis of its biosynthetic landscape, we present ABC-HuMi: the Atlas of Biosynthetic Gene Clusters (BGCs) in the Human Microbiome. ABC-HuMi integrates data from major human microbiome sequence databases and provides an expansive repository of BGCs compared to the limited coverage offered by existing resources. Employing state-of-the-art BGC prediction and analysis tools, our database ensures accurate annotation and enhanced prediction capabilities. ABC-HuMi empowers researchers with advanced browsing, filtering, and search functionality, enabling efficient exploration of the resource. At present, ABC-HuMi boasts a catalog of 19,218 representative BGCs derived from the human gut, oral, skin, respiratory and urogenital systems. By capturing the intricate biosynthetic potential across diverse human body sites, our database fosters profound insights into the molecular repertoire encoded within the human microbiome and offers a comprehensive resource for the discovery and characterization of novel bioactive compounds. The database is freely accessible at https://www.ccb.uni-saarland.de/abc_humi/. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=149 SRC="FIGDIR/small/558305v2_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@15af4f6org.highwire.dtl.DTLVardef@886a27org.highwire.dtl.DTLVardef@1f12de5org.highwire.dtl.DTLVardef@fc24be_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2023

Time series of chicken stool metagenomics and egg metabolomics in changing production systems

Different production systems of livestock animals influence various factors, including the gut microbiota. We investigated whether changing the conditions from barns to free-range impacts the microbiome over the course of three weeks. We compared the stool microbiota of chicken from industrial barns after introducing them either in community or separately to a free-range environment. Over the six time points, 12 taxa - mostly lactobacilli - changed significantly. As expected, the former barn chicken cohort carries more resistances to common antibiotics. These, however, remained positive over the observed period. At the end of the study, we collected eggs and compared metabolomic profiles of the egg white and yolk to profiles of eggs from commercial suppliers. Here, we observed significant differences between commercial and fresh collected eggs as well as differences between the former barn chicken and free-range chicken. Our data suggest that the gut microbiota can change over time following a change in production systems. This change also influences the metabolites in the eggs. We understand the study as a proof-of-concept that justifies larger scale observations with more individual chicken and longer observation periods.

zoology↗