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Katsanos, D.

Publications and source records attributed to Katsanos, D..

4 recordsLinked to original sources

A NanoDam toolkit for tissue-specific transcription factor profiling in C. elegans

During development of multicellular organisms, cells must execute precise molecular decisions to achieve cell fate specification and differentiation. These decisions are orchestrated by networks of transcription factors (TFs) which act to regulate gene expression of specific cohorts of genes to ultimately confer identity. Depending on the cellular context, TF expression can vary dramatically both spatially and temporally. These differences in expression patterns can result in tissue-specific differences in TF binding to downstream targets. To identify targets on a tissue-specific basis, Targeted DamID (TaDa) has been recently introduced to generate TF binding profiles in various models including C. elegans. However, TaDa suffers from portability such that a new promoter-TF fusion transgene must be constructed for every new experimental condition of interest. Here, we adapt NanoDam for usage in C. elegans, which relies on endogenous TF-GFP knock-ins, a plethora of which have already been generated by the community. We report that NanoDam single copy transgenes consisting of lowly expressed, tissue-specific GFP nanobody-Dam fusions, when combined with endogenous GFP-tagged alleles of TFs, results in robust, tissue-specific profiling. Using an endogenous GFP-tagged allele of EGL-43/EVI1, we performed NanoDam profiling of two disparate tissue types, the anchor cell (AC) and dopaminergic neurons, and identify targets unique to each and shared by both cell types. We also identify two GATA TFs, ELT-6 and EGL-18, as novel regulators of AC invasion. Together, we demonstrate that NanoDam is capable of profiling endogenous GFP-tagged TFs to identify novel downstream targets in specific cell types of C. elegans.

genetics↗

Tissue-specific transcription factor target identification in the Caenorhabditis elegans epidermis using targeted DamID

Transcription factors are key players in gene networks controlling cell fate specification during development. In multicellular organisms, they can display complex patterns of expression and binding to their targets, which necessitates tissue-specific characterisation of transcription factor-target interactions. Here, we focus on C. elegans seam cell development, which is used as a model of robust epidermal stem cell patterning. Despite our knowledge of multiple transcription factors playing a role in epidermal development, the composition of the gene network underlying cell fate patterning remains largely unknown. We introduce Targeted DamID (TaDa) that allows tissue-specific transcription factor target identification in intact C. elegans animals without cell isolation. We employ this method to recover putative targets in the epidermis for two transcription factors, the HES1 homologue LIN-22 and the NR5A1/2 nuclear hormone receptor NHR-25. Using single-molecule FISH (smFISH), we validate TaDa predictions and reveal a role for these transcription factors in promoting cell differentiation, as well as an unusual link between a HES factor and the Wnt signalling pathway. Our results expand our understanding of the epidermal gene network and highlight the power of TaDa to dissect the architecture of tissue-specific gene regulatory networks.

developmental biology↗

Cryptic genetic variation in a heat shock protein shapes the expressivity of a mutation affecting stem cell behaviour in C. elegans.

A fundamental question in medical genetics is how the genetic background modifies the phenotypic outcome of key mutations. We address this question by focusing on the epidermal seam cells, which display stem cell properties in Caenorhabditis elegans. We demonstrate that a null mutation in the GATA transcription factor egl-18, which is involved in seam cell fate maintenance, is more tolerated and thus has lower expressivity in the divergent CB4856 isolate from Hawaii than the lab reference strain N2 from Bristol. We identify multiple quantitative trait loci (QTLs) underlying the difference in mutation expressivity between the two isolates. These QTLs reveal cryptic genetic variation, which acts to reinforce seam cell fate through potentiating Wnt signalling. Within one QTL region, a single amino acid deletion in the heat shock protein HSP-110 in CB4856 lowers egl-18 mutation expressivity. Our work underscores that natural variation in conserved heat shock proteins can shape mutation expressivity.

genetics↗

A cell fate switch in the C. elegans seam cell lineage occurs through modulation of the Wnt asymmetry pathway in response to temperature increase

Populations often display consistent developmental phenotypes across individuals despite the inevitable biological stochasticity. Nevertheless, developmental robustness has limits and systems can fail upon change in the environment or the genetic background. We use here the seam cells, a population of epidermal stem cells in Caenorhabditis elegans, to study the influence of temperature change and genetic variation on cell fate. Seam cell development has mostly been studied so far in the lab reference strain (N2), grown at 20{degrees} temperature. We demonstrate that an increase in culture temperature to 25{degrees}, introduces variability in the wild-type seam cell lineage with a proportion of animals showing an increase in seam cell number. We map this increase to lineage-specific symmetrisation events of normally asymmetric cell divisions at the final larval stage, leading to the retention of seam cell fate in both daughter cells. Using genetics and single molecule imaging, we demonstrate that this symmetrisation occurs via changes in the Wnt asymmetry pathway, leading to aberrant Wnt target activation in anterior cell daughters. We find that intrinsic differences in the Wnt asymmetry pathway already exist between seam cells at 20{degrees} and this may sensitise cells towards a cell fate switch at increased temperature. Finally, we demonstrate that wild isolates of C. elegans display variation in seam cell sensitivity to increased culture temperature, although seam cell numbers are comparable when raised at 20{degrees}. Our results highlight how temperature can modulate cell fate decisions in an invertebrate model of stem cell patterning.

developmental biology↗