bioRxiv Science⌕ Search

Biology subjects

Göttgens, B.

Publications and source records attributed to Göttgens, B..

7 recordsLinked to original sources

Axin1 and Axin2 regulate the WNT-signaling landscape to promote distinct mesoderm programs

How distinct mesodermal lineages - extraembryonic, lateral, intermediate, paraxial and axial - are specified from pluripotent epiblast during gastrulation is a longstanding open question. By investigating AXIN, a negative regulator of the WNT/{beta}-catenin pathway, we have uncovered new roles for WNT signaling in the determination of mesodermal fates. We undertook complementary approaches to dissect the role of WNT signaling that augmented a detailed analysis of Axin1;Axin2 mutant mouse embryos, including single-cell and single-embryo transcriptomics, with in vitro pluripotent Epiblast-Like Cell differentiation assays. This strategy allowed us to reveal two layers of regulation. First, WNT initiates differentiation of primitive streak cells into mesoderm progenitors, and thereafter, WNT amplifies and cooperates with BMP/pSMAD1/5/9 or NODAL/pSMAD2/3 to propel differentiating mesoderm progenitors into either posterior streak derivatives or anterior streak derivatives, respectively. We propose that Axin1 and Axin2 prevent aberrant differentiation of pluripotent epiblast cells into mesoderm by spatially and temporally regulating WNT signaling levels.

developmental biology↗

DNA methylation restricts coordinated germline and neural fates in embryonic stem cell differentiation

Somatic DNA methylation is established early during mammalian development, as embryonic cells transition from naive to primed pluripotency. This precedes the emergence of the three somatic germ layers, but also the segregation of the germline that undergoes genome-wide DNA demethylation after specification. While DNA methylation is essential for embryogenesis, the point at which it becomes critical during differentiation and whether all lineages equally depend on it is unclear. Using culture modeling of cellular transitions, we found that DNA methylation-free embryonic stem cells (ESCs) with a triple DNA methyltransferase knockout (TKO) normally progressed through the continuum of pluripotency states, but demonstrated skewed differentiation abilities towards neural versus other somatic lineages. More saliently, TKO ESCs were fully competent for establishing primordial germ cell-like cells (PGCLCs), even showing temporally extended and self-sustained capacity for the germline fate. By mapping chromatin states, we found that the neural and germline lineages are linked by a similar enhancer dynamics during priming, defined by common sets of methyl-sensitive transcription factors that fail to be decommissioned in absence of DNA methylation. We propose that DNA methylation controls the temporality of a coordinated neural-germline axis of preferred differentiation route during early development.

developmental biology↗

Rabbit Development as a Model for Single Cell Comparative Genomics

Biomedical research relies heavily on the use of model organisms to gain insight into human health and development. Traditionally, the mouse has been the favored vertebrate model, due to its experimental and genetic tractability. Non-rodent embryological studies however highlight that many aspects of early mouse development, including the egg-cylinder topology of the embryo and its method of implantation, diverge from other mammals, thus complicating inferences about human development. In this study, we constructed a morphological and molecular atlas of rabbit development, which like the human embryo, develops as a flat-bilaminar disc. We report transcriptional and chromatin accessibility profiles of almost 180,000 single cells and high-resolution histology sections from embryos spanning gastrulation, implantation, amniogenesis, and early organogenesis. Using a novel computational pipeline, we compare the transcriptional landscape of rabbit and mouse at the scale of the entire organism, revealing that extra-embryonic tissues, as well as gut and PGC cell types, are highly divergent between species. Focusing on these extra-embryonic tissues, which are highly accessible in the rabbit, we characterize the gene regulatory programs underlying trophoblast differentiation and identify novel signaling interactions involving the yolk sac mesothelium during hematopoiesis. Finally, we demonstrate how the combination of both rabbit and mouse atlases can be leveraged to extract new biological insights from sparse macaque and human data. The datasets and analysis pipelines reported here set a framework for a broader cross-species approach to decipher early mammalian development, and are readily adaptable to deploy single cell comparative genomics more broadly across biomedical research.

developmental biology↗

A time and single-cell resolved model of hematopoiesis

The paradigmatic tree model of hematopoiesis is increasingly recognized to be limited as it is based on heterogeneous populations and largely inferred from non-homeostatic cell fate assays. Here, we combine persistent labeling with time-series single-cell RNA-Seq to build the first real- time, quantitative model of in vivo tissue dynamics for any mammalian organ. We couple cascading single-cell expression patterns with dynamic changes in differentiation and growth speeds. The resulting explicit linkage between single cell molecular states and cellular behavior reveals widely varying self-renewal and differentiation properties across distinct lineages. Transplanted stem cells show strong acceleration of neutrophil differentiation, illustrating how the new model can quantify the impact of perturbations. Our reconstruction of dynamic behavior from snapshot measurements is akin to how a Kinetoscope allows sequential images to merge into a movie. We posit that this approach is broadly applicable to empower single cell genomics to reveal important tissue scale dynamics information. HighlightsO_LICell flux analysis reveals high-resolution kinetics of native bone marrow hematopoiesis C_LIO_LIQuantitative model simulates cell behavior in real-time and connects it with gene expression patterns C_LIO_LIDistinct lineage-affiliated progenitors have unique self-renewal and differentiation properties C_LIO_LITransplanted HSCs display accelerated stage- and lineage-specific differentiation C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/506735v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@244ad6org.highwire.dtl.DTLVardef@ad632borg.highwire.dtl.DTLVardef@149daf9org.highwire.dtl.DTLVardef@1c7183f_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Mapping interindividual dynamics of innate immune response at single-cell resolution

Common genetic variants modulate the cellular response to viruses and are implicated in a range of immune pathologies, including infectious and autoimmune diseases. The transcriptional antiviral response is known to vary between infected cells from a single individual, yet how genetic variants across individuals modulate the antiviral response (and its cell-to-cell variability) is not well understood. Here, we triggered the antiviral response in human fibroblasts from 68 healthy donors, and profiled tens of thousands of cells using single-cell RNA-seq. We developed GASPACHO (GAuSsian Processes for Association mapping leveraging Cell HeterOgeneity), the first statistical approach designed to identify dynamic eQTLs across a transcriptional trajectory of cell populations, without aggregating single-cell data into pseudo-bulk. This allows us to uncover the underlying architecture and variability of antiviral response across responding cells, and to identify more than two thousands eQTLs modulating the dynamic changes during this response. Many of these eQTLs colocalise with risk loci identified in GWAS of infectious and autoimmune diseases. As a case study, we focus on a COVID-19 susceptibility locus, colocalised with the antiviral OAS1 splicing QTL. We validated it in blood cells from a patient cohort and in the infected nasal cells of a patient with the risk allele, demonstrating the utility of GASPACHO to fine-map and functionally characterise a genetic locus. In summary, our novel analytical approach provides a new framework for delineation of the genetic variants that shape a wide spectrum of transcriptional responses at single-cell resolution.

genetics↗

A highly efficient reporter system for identifying and characterizing in vitro expanded hematopoietic stem cells

Hematopoietic stem cells (HSCs) cultured outside the body are the fundamental component of a wide range of cellular and gene therapies. Recent efforts have achieved more than 200-fold expansion of functional HSCs, but their molecular characterization has not been possible due to the substantial majority of cells being non-HSCs and single cell-initiated cultures displaying substantial clone-to-clone variability. Using the Fgd5 reporter mouse in combination with the EPCR surface marker, we report exclusive identification of HSCs from non-HSCs in expansion cultures. Linking single clone functional transplantation data with single clone gene expression profiling, we show that the molecular profile of expanded HSCs is similar to actively cycling fetal liver HSCs and shares a gene expression signature with functional HSCs from all sources, including Prdm16, Fstl1 and Palld. This new tool can now be applied to a wide-range of functional screening and molecular experiments previously not possible due to limited HSC numbers.

cell biology↗

Defining the transcriptional signature of esophageal-to-skin lineage conversion

The ability of epithelial cells to rewire their cell fate program beyond their physiological repertoire has become a new paradigm in stem cell biology. This plasticity leaves behind the concept of strict stem cell hierarchies, opening up new exciting questions about its limits and underlying regulation. Here we developed a heterotypic 3D culture system to study the mechanisms modulating changes in the identity of adult esophageal epithelial cells. We demonstrate that, when exposed to the foreign stroma of adult skin, esophageal cells transition towards hair follicle identity and architecture. Heterotypic transplantation experiments recapitulated this cell fate conversion process in vivo. Single-cell RNA sequencing and histological analysis, capturing the temporality of this process, reveal that most esophageal cells switching towards skin identity remain in an intermediate state marked by a transient regenerative profile and a particularly strong hypoxic signature. Inhibition of HIF1a establishes the central role of this pathway in regulating epithelial cell plasticity, driving cells away from their transition state in favor of cell fate conversion.

cell biology↗