Search bioRxiv⌕ Search

Biology subjects

Xi, P.

Publications and source records attributed to Xi, P..

25 records · Page 2Linked to original sources

Fast, live-cell imaging of 15 intracellular compartments by deep learning segmentation of super-resolution data

The number of colors that can be used in fluorescence microscopy to image the live-cell anatomy and organelles interactions is far less than the number of intracellular organelles and compartments. Here, we report that deep convolutional neuronal networks can predict 15 subcellular structures from super-resolution spinning-disk microscopy images using only one dye, one laser excitation, and two detection channels. Comparing to the colocalization images, this method achieves pixel accuracies of over 91.7%, which not only bypasses the fundamental limitation of multi-color imaging but also accelerates the imaging speed by more than one order of magnitude.

cell biology↗

FoQDE2-dependent milRNA promotes Fusarium oxysporum f. sp. cubense virulence by targeting a glycosyl hydrolase coding gene at transcriptional level

MicroRNAs (miRNAs) are small non-coding RNAs that regulate protein-coding gene expression primarily found in plants and animals. Fungi produce microRNA-like RNAs (milRNAs) that are structurally similar to miRNAs and functionally important in various biological processes. The fungus Fusarium oxysporum f. sp. cubense (Foc) is the causal agent of Panama disease that threatens global banana production. It remains uncharacterized about the biosynthesis and functions of milRNAs in Foc. In this study, we investigated the biological function of milRNAs contributing to Foc pathogenesis. Within 24 hours post infecting the host, the Argonaute coding gene FoQDE2, and two Dicer coding genes FoDCL1 and FoDCL2, all of which are involved in milRNA biosynthesis, were significantly induced. FoQDE2 deletion mutant exhibited decreased virulence and hypersensitivity to hydrogen peroxide (H2O2). These results indicate that milRNA biosynthesis is crucial for Foc pathogenesis. By small RNA sequencing, we identified 364 small RNA-producing loci in the Foc genome, 25 of which were significantly downregulated in the FoQDE2 deletion mutant, from which milR-87 was verified as a FoQDE2-depedent milRNA based on qRT-PCR analysis. Through deletion and overexpression of milR-87 in the wild-type Foc strain, functions of milR-87 were studied. The results showed that milR-87 is crucial for Foc virulence in infection process. We furthermore identified a glycosyl hydrolase-coding gene, FOIG_15013, as the direct target of milR-87. The FOIG_15013 deletion mutant displayed a dramatic increase in the growth, conidiation and virulence. Transient expression of FOIG_15013 in Nicotiana benthamiana leaves activates the host defense responses. Collectively, this study documents the involvement of milRNAs in the manifestation of the devastating fungal disease in banana, and demonstrates the importance of milRNAs in the pathogenesis and other biological processes. Further analyses of the biosynthesis and expression regulation of fungal milRNAs may offer a novel strategy to combat devastating fungal diseases. Author summaryThe fungus Fusarium oxysporum f. sp. cubense (Foc) is the causal agent of Panama disease that threatens global banana production. As a typical representative of F. oxysporum species complex, the pathogen has been widely concerned. However, pathogenesis of Foc is not fully elucidated. In particular, pathogenic regulatory mechanism of the microRNA like small RNAs (milRNAs) found in Foc is unknown. Here, we found that FoQDE2, one Argonaute coding gene, and two Dicer coding genes FoDCL1 and FoDCL2, which are involved in milRNA biosynthesis, are significantly induced during the early infection stage of Foc. The results suggested that the milRNAs biosynthesis mediated by these genes may play an active role in the infection process of Foc. Based on this assumption, we subsequently found a FoQDE2-dependent milRNA (milR-87) and identified its target gene. Functional analysis showed that FoQDE2, miR-87 and its target gene were involved in the pathogenicity of Foc in different degree. The studies help us gain insight into the pathogenesis with FoQDE2, milR-87, and its target gene as central axis in Foc. The identified pathogenicity-involved milRNA provides an active target for developing novel and efficient biocontrol agents against Panama disease.

microbiology↗

Ratiometric 4Pi single molecule localization with optimal resolution and color assignment

4Pi single molecule localization microscopy (4Pi-SMLM) with two opposing objectives achieves sub-10 nm isotropic 3D resolution with as few as 250 photons collected by each objective. Here, we developed a new ratiometric multi-color imaging strategy for 4Pi-SMLM which employed the intrinsic multi-phase interference intensity without increasing the complexity of the system and achieved both optimal 3D resolution and color separation. By partially linking the photon parameters between channels with interference difference of {pi} during global fitting of the multi-channel 4Pi single molecule data, we showed on simulated data that the loss of the localization precision is minimal compared with the theoretical minimum uncertainty, the Cramer-Rao lower bound (CRLB).

biophysics↗

YeastNet: Deep Learning Enabled Accurate Segmentation of Budding Yeast Cells in Bright-field Microscopy

Accurate and efficient segmentation of live-cell images is critical in maximising data extraction and knowledge generation from high-throughput biology experiments. Despite recent development of deep learning tools for biomedical imaging applications, great demand for automated segmentation tools for high-resolution live-cell microscopy images remains in order to accelerate the analysis. YeastNet dramatically improves the performance of non-trainable classic algorithm, and performs considerably better than the current state-of-the-art yeast cell segmentation tools. We have designed and trained a U-Net convolutional network (named YeastNet) to conduct semantic segmentation on bright-field microscopy images and generate segmentation masks for cell labelling and tracking. YeastNet enables accurate automatic segmentation and tracking of yeast cells in biomedical applications. YeastNet is freely provided with model weights as a Python package on GitHub. https://github.com/kaernlab/YeastNet

bioinformatics↗

3D observation of large-scale subcellular dynamics in vivo at the millisecond scale

Observing large-scale three-dimensional (3D) subcellular dynamics in vivo at high spatiotemporal resolution has long been a pursuit for biology. However, both the signal-to-noise ratio and resolution degradation in multicellular organisms pose great challenges. Here, we propose a method, termed Digital Adaptive Optics Scanning Lightfield Mutual Iterative Tomography (DAOSLIMIT), featuring both 3D incoherent synthetic aperture and tiled wavefront correction in post-processing. We achieve aberration-free fluorescence imaging in vivo over a 150 x 150 x 16 m3 field-of-view with the spatiotemporal resolution up to 250 nm laterally and 320 nm axially at 100 Hz, corresponding to a huge data throughput of over 15 Giga-voxels per second. Various fast subcellular processes are observed, including mitochondrial dynamics in cultured neurons, membrane dynamics in zebrafish embryos, and calcium propagation in cardiac cells, human cerebral organoids, and Drosophila larval neurons, enabling simultaneous in vivo studies of morphological and functional dynamics in 3D.

cell biology↗

Mitochondrial dynamics quantitatively revealed by STED nanoscopy with an enhanced squaraine variant probe

Mitochondria play a critical role in generating energy to support the entire lifecycle of biological cells, yet it is still unclear how their morphological structures evolve to regulate their functionality. Conventional fluorescence microscopy can only provide [~]300 nm resolution, which is insufficient to visualize mitochondrial cristae. Here, we developed an enhanced squaraine variant dye (MitoESq-635) to study the dynamic structures of mitochondrial cristae in live cells at superresolution. The low saturation intensity and high photostability make it ideal for long-term, high-resolution STED nanoscopy. We demonstrate the time-lapsed imaging of the mitochondrial inner membrane over 50 minutes in living HeLa cells at 35.2 nm resolution for the first time. The forms of the cristae during mitochondrial fusion and fission can be clearly resolved. Our study demonstrates the emerging capability of optical STED nanoscopy to investigate intracellular physiological processes at nanoscale resolution for long periods of time with minimal phototoxicity.

biophysics↗

Fast, Accurate Polarization and Polarity Imaging withPolarized Structured Illumination

The orientation and wobbling behavior of the fluorescent dipoles are of great significance in revealing the structure and state of cells. Due to the poor optical sectioning capability of wide-field microscopy, the polarization modulation signals are susceptible to the neighboring fluorophores. The missing cone of wide field optical transfer function induces vast out-of-focus background, resulting in biased polarization orientation and decrease polarization factor. Here, we apply polarized structured illumination to achieve polarization modulation imaging with optical sectioning, and simultaneously measure the lipid polarity with two-color ratiometric imaging. Our results demonstrate a significant increase in measurement accuracy of not only the dipole orientations but also the wobbling behavior of the ensemble dipole. Compared to the conventional confocal polarization imaging, our method obtains an order-of-magnitude faster imaging speed, capturing the fast dynamics of subcellular structures in live cells.

biophysics↗