Search bioRxiv⌕ Search

Biology subjects

Nystul, T. G.

Publications and source records attributed to Nystul, T. G..

8 recordsLinked to original sources

Cytokinesis genes regulate ring canal patterning and follicle cell differentiation in Drosophila

Stable intercellular bridges that form through incomplete cytokinesis are present in a wide variety of cell types but their function in somatic cell differentiation is not well understood. Using super-resolution confocal microscopy, we identified a stepwise process of ring canal development in the follicle cells of the Drosophila ovary. Using a custom-trained deep learning model to aid in 3D image segmentation and follicle cell quantification, we found that ring canals are more heterogeneous at the early prefollicle stages compared to the more differentiated later stages. In addition, we found that depletion of the septin, peanut, caused cytokinetic defects but did not disrupt ring canal formation, whereas depletion of the ESCRT III gene, shrub, increased ring canal number in prefollicle cells and caused proliferation and differentiation phenotypes. Our findings identify cytokinesis and ring canal formation as a point of regulation in the patterning of proliferation and differentiation in the Drosophila follicle stem cell lineage.

cell biology↗

Mining functional genes and characterizing cellular transcriptomic profiles in the single-cell atlas of adult Spodoptera litura ovary

Understanding the reproductive biology of non-model organisms remains challenging due to the limited availability of high-resolution molecular resources. Here, we present a comprehensive single-cell transcriptomic atlas of the adult ovary of Spodoptera litura (S. litura), a highly polyphagous agricultural pest with a polytrophic meroistuc ovary. By integrating single-cell RNA sequencing with cross-species comparison to Drosophila melanogaster (D. melanogaster), we define major germline and somatic cell populations and delineate conserved and species-specific features of ovarian cell composition. To enhance the interpretability and reuse of this dataset, we combine transcriptomic profiling with in situ hybridization to validate cluster-specific molecular markers across ovarian cell types. We further apply RNA interference (RNAi) to assess the contributions of germline-enriched genes (Hsc70-4, Wech, Polo, Path) to ovarian development and fecundity. Trajectory inference, together with SCENIC and CellChat analyses, provides a system-level view of transcriptional regulatory programs and predicted intercellular communication pathways during oogenesis in S. litura. Collectively, this work establishes a valuable resource for studying lepidopteran insect oogenesis, offering a comparative framework for reproductive biology in non-model insects and highlighting potential targets for RNAi-based pest control strategies.

developmental biology↗

A decline in follicle cell function is a major driver of Drosophila ovarian aging

The ovary is one of the first organs to lose functionality with age. We found that aging of the Drosophila ovary is characterized by an accumulation of phenotypes in the somatic compartment, including failure of the follicle cells to encapsulate germ-cell cysts, an extended S phase, and increased DNA damage. In aged ovaries, follicle encapsulation defects are associated with the lack of a germ-cell cyst checkpoint in early oogenesis. Single-cell RNA sequencing revealed that, across all cell types in the ovary, cells in the follicle lineage have the highest number of differentially expressed genes. Overexpression of Atg8a, a key autophagy machinery gene homologous to mammalian LC3, specifically in follicle cells prevents age-associated decline in the follicle epithelium and loss of reproductive capacity. Collectively, these findings demonstrate that genetic manipulation of a small population of ovarian somatic cells is sufficient to improve both cell-autonomous and non-autonomous features of reproductive aging.

cell biology↗

Single-cell transcriptomic profiling of bam mutant tumor reveals germline heterogeneity and gcrf1 as a modulator in Drosophila germ cells

The bam mutant ovary of Drosophila represents a classic tumor model caused by germline stem cell (GSC) differentiation defects. To date, its molecular and genetic features have rarely been characterized in detail at the single-cell resolution. Here, we performed single-cell RNA sequencing (scRNA-seq) to comprehensively delineate the transcriptomic landscape and identify distinct germline cell types in bam mutant ovaries by using in situ hybridization. Differentially expressed gene analysis and PAGA plots reveal different transcriptional profiles and developmental relationships in ovarian cells. Based on the expression pattern of eggpl, a useful marker for undifferentiated germ cell identity, and morphological differences in bam mutant ovarioles, two potentially distinct germ cell states are distinguished. Comparative single-cell analysis reveals the potential regulatory network and cellular communication in subclusters of undifferentiated germ cells, and contributes to the identification of gcrf1 as a novel marker gene for female GSC, which involves in the regulation of early germ cell proliferation and Drosophila fertility. Collectively, our study not only provides insights into tumorigenesis caused by GSC differentiation defects but also offers a valuable transcriptomic resource that can be mined for the reproductive features of bam mutant tumors by community.

developmental biology↗

Independent signaling pathways provide a fail-safe mechanism to prevent tumorigenesis

Controlled signaling activity is vital for normal tissue homeostasis and oncogenic signaling activation facilitates tumorigenesis. Here we use single-cell transcriptomics to investigate the effects of pro-proliferative signaling on epithelial homeostasis using the Drosophila follicle cell lineage. Notably, EGFR-Ras overactivation induces cell cycle defects by activating the transcription factors Pointed and E2f1 and impedes differentiation. Hh signaling simultaneously promotes an undifferentiated state and induces differentiation via activation of EMT-associated transcription factors zfh1 and Mef2. As a result, overactivation of Hh signaling generates a transcriptional hybrid state comparable to epithelial-mesenchymal-transition. Co-overactivation of Hh signaling with EGFR-Ras signaling blocks differentiation and induces key characteristics of tumor cells including a loss of tissue architecture caused by reduced expression of cell adhesion molecules, sustained proliferation and an evasion of cell cycle checkpoints. These findings provide new insight into how non-interacting signaling pathways converge at the transcriptional level to prevent malignant cell behavior. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=194 HEIGHT=200 SRC="FIGDIR/small/640798v2_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@762724org.highwire.dtl.DTLVardef@103d1a6org.highwire.dtl.DTLVardef@1b90caforg.highwire.dtl.DTLVardef@1eff5a4_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

PROPEL: a scalable model for postbaccalaureate training to promote diversity in the biomedical workforce

Promoting diversity in the scientific workforce is crucial for harnessing the potential of available talent and ensuring equitable access to Science, Technology, Engineering, Mathematics, and Medicine (STEM-M) careers. We have developed an innovative program called Post-baccalaureate Research Opportunity to Promote Equity in Learning (PROPEL) that provides scientific and career development training for postbaccalaureate scholars from historically excluded backgrounds in STEM-M fields with an interest in pursuing a PhD or MD/PhD degree. Our program is distinct from other postbaccalaureate programs in that scholars are hired by individual labs rather than funded centrally by the program. This funding mechanism removes the idea that central funding is necessary to encourage faculty to train diverse scholars and allows the program to scale dynamically according to the needs of the scientific community. The PROPEL program started in 2020 with six scholars and has since grown to an enrollment of over 100, making it the largest postbaccalaureate program for biomedical research in the country. Here, we describe the program structure and curriculum, our strategy for recruitment, the enrollment trends; the program demographics; metrics of scholar engagement; and outcomes for scholars who completed the program in 2023. Our experience demonstrates the strong demand from both scholars and faculty for programming of this type and describes the feasibility of implementation.

scientific communication and education↗

A high-throughput method for quantifying Drosophila fecundity

Measurements of Drosophila fecundity are used in a wide variety of studies, such as investigations of stem cell biology, nutrition, behavior, and toxicology. In addition, because fecundity assays are performed on live flies, they are suitable for longitudinal studies such as investigations of aging or prolonged chemical exposure. However, standard Drosophila fecundity assays have been difficult to perform in a high-throughput manner because experimental factors such as the physiological state of the flies and environmental cues must be carefully controlled to achieve consistent results. In addition, exposing flies to a large number of different experimental conditions (such as chemical additives in the diet) and manually counting the number of eggs laid to determine the impact on fecundity is time-consuming. We have overcome these challenges by combining a new multiwell fly culture strategy with a novel 3D-printed fly transfer device to rapidly and accurately transfer flies from one plate to another; the RoboCam, a low-cost, custom built robotic camera to capture images of the wells automatically; and an image segmentation pipeline to automatically identify and quantify eggs. We show that this method is compatible with robust and consistent egg laying throughout the assay period; and demonstrate that the automated pipeline for quantifying fecundity is very accurate (r2 = 0.98 for the correlation between the automated egg counts and the ground truth) In addition, we show that this method can be used to efficiently detect the effects on fecundity induced by dietary exposure to chemicals. Taken together, this strategy substantially increases the efficiency and reproducibility of high throughput egg laying assays that require exposing flies to multiple different media conditions.

genetics↗

A Single-Cell Atlas and Lineage Analysis of the Adult Drosophila Ovary

The Drosophila ovary is a widely used model for germ cell and somatic tissue biology. We have used single-cell RNA-sequencing to build a comprehensive cell atlas of the adult Drosophila ovary containing unique transcriptional profiles for every major cell type in the ovary, including the germline and follicle stem cells. Using this atlas we identify novel tools for identification and manipulation of known and novel cell types and perform lineage tracing to test cellular relationships of previously unknown cell types. By this we discovered a new form of cellular plasticity in which inner germarial sheath cells convert to follicle stem cells in response to starvation.\n\nGraphical Abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=162 SRC=\"FIGDIR/small/798223v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (60K):\norg.highwire.dtl.DTLVardef@b4c486org.highwire.dtl.DTLVardef@1d24e4aorg.highwire.dtl.DTLVardef@1217adorg.highwire.dtl.DTLVardef@1d09a63_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗