Biology subjects

Peng, D.

Publications and source records attributed to Peng, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Base-modified nucleotides mediate immune signaling in bacteria

Signaling from pathogen sensing to effector activation is a fundamental principle of cellular immunity. While cyclic (oligo)nucleotides have emerged as key signaling molecules, the existence of other messengers remains largely unexplored. Here, we reveal a bacterial anti-phage system that mediates immune signaling through nucleobase modification. Immunity is triggered by phage nucleotide kinases, which, combined with the system-encoded adenosine deaminase, produce deoxyinosine 5-triphosphate (dITP) as immune messengers. The dITP signal activates downstream effector to mediate cellular NAD+ depletion, resulting in population-level defense through the death of infected cells. To counteract immune signaling, phages deploy specialized enzymes that deplete cellular dAMP, the precursor of dITP messengers. Our findings uncover a nucleobase modification-based anti-phage signaling pathway, establishing noncanonical nucleotides as a new type of immune messengers in bacteria.

microbiology↗

bioRxiv2024

Inhibition of DKK-1 by WAY262611 Inhibits Osteosarcoma Metastasis

Osteosarcoma (OS) is the most common primary malignant bone tumor in childhood. Patients who present with metastatic disease at diagnosis or relapse have a very poor prognosis, and this has not changed over the past four decades. The Wnt signaling pathway plays a role in regulating osteogenesis and is implicated in OS pathogenesis. DKK-1 inhibits the canonical Wnt signaling pathway, causing inhibition of osteoblast differentiation and disordered bone repair. Our lab previously demonstrated that a monoclonal antibody against DKK-1 prevented metastatic disease in a mouse model. This study expands upon those findings by demonstrating similar results with a small molecule inhibitor of DKK-1, WAY262611, both in vitro and in vivo. WAY262611 was evaluated in vitro on osteosarcoma cell lines, including proliferation, caspase activation, cell cycle analysis, and signaling pathway activation. We utilized our orthotopic implantation-amputation model of osteosarcoma metastasis in vivo to determine the impact of WAY262611 on primary tumor progression and metastatic outgrowth of disseminated tumor cells. Differentiation status was determined using single cell RNA sequencing. We show here that WAY262611 activates canonical Wnt signaling, enhances nuclear localization and transcriptional activity of beta-catenin, and slows proliferation of OS cell lines. We also show that WAY262611 induces osteoblastic differentiation of an OS patient-derived xenograft in vivo, as well as inhibiting metastasis. This work credentials DKK-1 as a therapeutic target in OS, allowing for manipulation of the Wnt signaling pathway and providing preclinical justification for the development of new biologics for prevention of osteosarcoma metastasis.

cancer biology↗

bioRxiv2024

Targeted CRISPR Screens Reveal Genes Essential for Cryptosporidium Survival in the Host Intestine

The Cryptosporidium parasite is one of the leading causes of diarrheal morbidity and mortality in children, and adolescent infections are associated with chronic malnutrition. There are no vaccines available for protection and only one drug approved for treatment that has limited eKicacy. A major barrier to developing new therapeutics is a lack of foundational knowledge of Cryptosporidium biology, including which parasite genes are essential for survival and virulence. Here, we iteratively improve the tools for genetically manipulating Cryptosporidium and develop a targeted CRISPR-based screening method to rapidly assess how the loss of individual parasite genes influence survival in vivo. Using this method we examine the parasites pyrimidine salvage pathway and a set of leading Cryptosporidium vaccine candidates. From this latter group we determined the parasite gene known as Cp23 to be essential for survival, which was confirmed through inducible knockout in vitro and in vivo. Parasites deficient in Cp23 were able to replicate within and emerge from infected epithelial cells, yet unable to initiate gliding motility which is essential for the reinfection of neighbouring cells. The targeted screening method presented here is highly versatile and will enable researchers to more rapidly expand the knowledge base for Cryptosporidium infection biology, paving the way for new therapeutics.

microbiology↗

bioRxiv2024

Mapping Plasmodium transitions and interactions in the Anopheles female

The human malaria parasite, Plasmodium falciparum, relies exclusively on Anopheles mosquitoes for transmission. Once ingested during blood feeding, most parasites die in the mosquito midgut lumen or during epithelium traversal1. How surviving ookinetes interact with midgut cells and form oocysts is poorly known, yet these steps are essential to initiate a remarkable growth process culminating in the production of thousands of infectious sporozoites2. Here, using single-cell RNA sequencing of both parasites and mosquito cells across different developmental stages and metabolic conditions, we unveil key transitions and mosquito-parasite interactions occurring in the midgut. Functional analyses uncover processes regulating oocyst growth and identify the transcription factor PfSIP2 as essential for sporozoite infection of human hepatocytes. Combining shared mosquito-parasite barcode analysis with confocal microscopy, we reveal that parasites preferentially interact with midgut progenitor cells during epithelial crossing, potentially using their basal location as an exit landmark. Additionally, we show tight connections between extracellular late oocysts and surrounding muscle cells that may ensure parasites adherence to the midgut. We confirm our major findings in several mosquito-parasite combinations, including field-derived parasites. Our study provides fundamental insight into the molecular events characterizing previously inaccessible biological transitions and mosquito-parasite interactions, and identifies candidates for transmission-blocking strategies.

microbiology↗

bioRxiv2024

Hormonal dynamics reveal a stimulatory role for secretoneurin in zebrafish ovulation

Surge release of luteinizing hormone (Lh) from the pituitary is essential for fertility as it triggers ovulation. While secretoneurin (SN) is a phylogenetically conserved secretogranin-2 derived peptide that stimulates Lh, its role in ovulation has not been established. To directly compare periovulatory changes in the classical hormones to the emerging reproductive neuropeptides SNa and SNb, simultaneous mass spectrometry measurement of 9 peptides and 5 steroids was conducted in female zebrafish. Regression analysis indicated that levels of SNa1-34 in the brain peaked when type 3 gonadotropin-releasing hormone (Gnrh3) increased (R2=0.71) at the time of the Lh surge, 3.5 h before ovulation. In contrast, levels of the naturally occurring derivative SNa1-14 were highest at ovulation, while SNb1-31 was invariable. The bioactivities of SNa1-34 and SNa1-14 were investigated. After injection of SNa1-34 in females that had been isolated from males, 61% (11/18) ovulated within 6 h, which was like the effects of the Lh analog human chorionic gonadotropin (hCG) (72%; 13/18 females). SNa1-34 could induce ovulation by stimulating time-dependent expression of gnrh3 in the brain, chorionic gonadotropin alpha (cga), luteinizing hormone b (lhb) subunit in pituitary, and the nuclear progesterone receptor (npr) in ovaries. In contrast, SNa1-14 exhibited far fewer effects on gene expression and did not induce ovulation. Our results support the proposal that SN is a reproductive hormone. Significance statementSecretogranin-2 is a secretory granule protein that is enzymatically processed to the bioactive neuropeptide secretoneurin. It is produced in hypothalamic neurons and anterior pituitary cells, and we provide in vivo evidence that secretoneurin plays an important role to induce ovulation. Secretoneurin levels in the brain increase concomitantly with gonadotropin-releasing hormone prior to ovulation in normal zebrafish. Injection of a synthetic secretoneurin peptide increased expression of reproduction-related genes at all levels of the hypothalamic-pituitary-ovarian axis. Secretoneurin stimulates ovulation in otherwise anovulatory females. Together these data place the evolutionarily conserved secretoneurin amongst other critical neuroendocrine regulators. Secretoneurin or synthetic agonists could be used to improve breeding in fish species, or to potentially help with infertility treatments

physiology↗

bioRxiv2024

Polyamine Depletion by D, L-alpha-difluoromethylornithine Inhibits Ewing Sarcoma Metastasis by Inducing Ferroptosis

AO_SCPLOWBSTRACTC_SCPLOWPolyamine metabolism and signaling play important roles in multiple cancers but have not previously been studied in Ewing sarcoma. Here, we show that blocking polyamine synthesis with D, L-alpha-difluoromethylornithine (DFMO) causes a G1 cell cycle arrest, dose-dependent decreases in sarcosphere formation from Ewing sarcoma cell lines growing in non-adherent conditions and a decrease in clonogenic growth in soft agar. Further, we utilized our orthotopic implantation/amputation model of Ewing sarcoma metastasis to demonstrate that DFMO slowed primary tumor growth in addition to limiting metastasis. RNA sequencing demonstrated gene expression patterns consistent with induction of ferroptosis caused by polyamine depletion. Induction of ferroptosis was validated in vitro by demonstrating that ferrostatin-1, an inhibitor of ferroptosis, allows sphere formation even in the presence of DFMO. Collectively, these results reveal a novel mechanism by which DFMO prevents metastasis - induction of ferroptosis due to polyamine depletion. Our results provide preclinical justification to test the ability of DFMO to prevent metastatic recurrence in Ewing sarcoma patients at high risk for relapse.

cancer biology↗

bioRxiv2024

OneSC: A computational platform for recapitulating cell state transitions

Computational modelling of cell state transitions has been a great interest of many in the field of developmental biology, cancer biology and cell fate engineering because it enables performing perturbation experiments in silico more rapidly and cheaply than could be achieved in a wet lab. Recent advancements in single-cell RNA sequencing (scRNA-seq) allow the capture of high- resolution snapshots of cell states as they transition along temporal trajectories. Using these high-throughput datasets, we can train computational models to generate in silico synthetic cells that faithfully mimic the temporal trajectories. Here we present OneSC, a platform that can simulate synthetic cells across developmental trajectories using systems of stochastic differential equations govern by a core transcription factors (TFs) regulatory network. Different from the current network inference methods, OneSC prioritizes on generating Boolean network that produces faithful cell state transitions and steady cell states that mimic real biological systems. Applying OneSC to real data, we inferred a core TF network using a mouse myeloid progenitor scRNA-seq dataset and showed that the dynamical simulations of that network generate synthetic single-cell expression profiles that faithfully recapitulate the four myeloid differentiation trajectories going into differentiated cell states (erythrocytes, megakaryocytes, granulocytes and monocytes). Finally, through the in-silico perturbations of the mouse myeloid progenitor core network, we showed that OneSC can accurately predict cell fate decision biases of TF perturbations that closely match with previous experimental observations.

systems biology↗

bioRxiv2024

Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score histories

Scalable methods for estimating marginal coalescent trees across the genome present new opportunities for studying evolution and have generated considerable excitement, with new methods extending scalability to thousands of samples. Benchmarking of the available methods has revealed general tradeoffs between accuracy and scalability, but performance in downstream applications has not always been easily predictable from general performance measures, suggesting that specific features of the ARG may be important for specific downstream applications of estimated ARGs. To exemplify this point, we benchmark ARG estimation methods with respect to a specific set of methods for estimating the historical time course of a population-mean polygenic score (PGS) using the marginal coalescent trees encoded by the ancestral recombination graph (ARG). Here we examine the performance in simulation of seven ARG estimation methods: ARGweaver, RENT+, Relate, tsinfer+tsdate, ARG-Needle, ASMC-clust, and SINGER, using their estimated coalescent trees and examining bias, mean squared error (MSE), confidence interval coverage, and Type I and II error rates of the downstream methods. Although it does not scale to the sample sizes attainable by other new methods, SINGER produced the most accurate estimated PGS histories in many instances, even when Relate, tsinfer+tsdate, ARG-Needle and ASMC-clust used samples ten or more times as large as those used by SINGER. In general, the best choice of method depends on the number of samples available and the historical time period of interest. In particular, the unprecedented sample sizes allowed by Relate, tsinfer+tsdate, ARG-Needle, and ASMC-clust are of greatest importance when the recent past is of interest--further back in time, most of the tree has coalesced, and differences in contemporary sample size are less salient.

genetics↗

bioRxiv2024

Genome Report: Pseudomolecule-scale genome assemblies of Drepanocaryum sewerzowii and Marmoritis complanata

The Nepetoideae, a subfamily of Lamiaceae (mint family), is rich in aromatic plants, many of which are sought after for their use as flavours and fragrances or for their medicinal properties. Here we present genome assemblies for two species in Nepetiodeae: Drepanocaruym sewerzowii and Marmoritis complanata. Both assemblies were generated using Oxford Nanopore Q20+ reads with contigs anchored to nine pseudomolecules that resulted in 335 Mb and 305 Mb assemblies, respectively, and BUSCO scores above 95% for both the assembly and annotation. We furthermore provide a species tree for the Lamiaceae using only genome derived gene models, complementing existing transcriptome and marker-based phylogenies.

genomics↗

bioRxiv2024

CRISPR/Cas9 gene editing in Drosophila via visual selection in a summer classroom

CRISPR/Cas9 methods are a powerful in vivo approach to edit the genome of Drosophila melanogaster. To convert existing Drosophila GAL4 lines to LexA driver lines in a secondary school classroom setting, we applied the CRISPR-based genetic approach to a collection of Gal4 driver lines. The integration of the yellow+ coat color marker into homology-assisted CRISPR knock-in (HACK) enabled visual selection of Gal4-to-LexA conversions using brightfield stereo-microscopy available in a broader set of standard classrooms. Here, we report the successful conversion of eleven Gal4 lines with expression in neuropeptide-expressing cells into corresponding, novel LexA drivers. The conversion was confirmed by LexA- and Gal4-specific GFP reporter gene expression. This curriculum was successfully implemented in a summer course running 16 hours/week for seven weeks. The modularity, flexibility, and compactness of this course should enable development of similar classes in secondary schools and undergraduate curricula, to provide opportunities for experience-based science instruction, and university-secondary school collaborations that simultaneously fulfill research needs in the community of science.

genetics↗

bioRxiv2023

Global organelle profiling reveals subcellular localization and remodeling at proteome scale

Defining the subcellular distribution of all human proteins and its remodeling across cellular states remains a central goal in cell biology. Here, we present a high-resolution strategy to map subcellular organization using organelle immuno-capture coupled to mass spectrometry. We apply this proteomics workflow to a cell-wide collection of membranous and membrane-less compartments. A graph-based representation of our data reveals the subcellular localization of over 7,600 proteins, defines spatial protein networks, and uncovers interconnections between cellular compartments. We demonstrate that our approach can be deployed to comprehensively profile proteome remodeling during cellular perturbation. By characterizing the cellular landscape following hCoV-OC43 viral infection, we discover that many proteins are regulated by changes in their spatial distribution rather than by changes in their total abundance. Our results establish that proteome-wide analysis of subcellular remodeling provides essential insights for the elucidation of cellular responses. Our dataset can be explored at organelles.czbiohub.org.

cell biology↗

bioRxiv2023

PROTOSPACEJAM: AN OPEN-SOURCE, CUSTOMIZABLE AND WEB-ACCESSIBLE DESIGN PLATFORM FOR CRISPR/CAS9 INSERTIONAL KNOCK-IN

CRISPR/Cas9-mediated knock-in of DNA sequences enables precise genome engineering for research and therapeutic applications. However, designing effective guide RNAs (gRNAs) and homology-directed repair (HDR) donors remains a bottleneck. Here, we present protoSpaceJAM, an open-source algorithm to automate and optimize gRNA and HDR donor design for CRISPR/Cas9 insertional knock-in experiments. protoSpaceJAM utilizes biological rules to rank gRNAs based on specificity, distance to insertion site, and position relative to regulatory regions. protoSpaceJAM can introduce recoding mutations (silent mutations and mutations in non-coding sequences) in HDR donors to prevent re-cutting and increase knock-in efficiency. Users can customize parameters and design double-stranded or single-stranded donors. We validated protoSpaceJAMs design rules by demonstrating increased knock-in efficiency with recoding mutations and optimal strand selection for single-stranded donors. An additional module enables the design of genotyping primers for next-generation sequencing of edited alleles. Overall, protoSpaceJAM streamlines and optimizes CRISPR knock-in experimental design in a flexible and modular manner to benefit diverse research and therapeutic applications. protoSpaceJAM is available open-source as an interactive web tool at protospacejam.czbiohub.org or as a standalone Python package at github.com/czbiohub-sf/protoSpaceJAM.

bioinformatics↗

bioRxiv2023

Multiple cis-regulatory elements control prox1a expression in distinct lymphatic vascular beds

Lymphatic vessels play a role in several physiological and pathological processes including tissue fluid homeostasis, dietary fat absorption, immunosurveillance, and immunomodulation. During embryonic development, lymphatic endothelial cell (LEC) precursors are distinguished from blood endothelial cells by the expression of the transcription factor Prospero-related homeobox 1 (PROX1). PROX1 is essential for lymphatic vascular network formation in mouse and zebrafish. The initiation of PROX1 expression precedes LEC sprouting and migration, serving as the definitive marker of specified LECs. Despite its crucial role in lymphatic development, the upstream regulation of PROX1 in LECs remains to be uncovered. SOX18 and COUP-TFII are thought to regulate Prox1 expression in mice by binding to its promoter region. However, how the specificity of Prox1 expression to LECs is achieved remains to be studied in detail. In this study, we analysed evolutionary conservation and chromatin accessibility to identify enhancer sequences located in the proximity of zebrafish prox1a active in developing LECs. We confirmed the functional role of the identified sequences through CRISPR/Cas9 mutagenesis of a lymphatic valve enhancer. The deletion of this genomic region results in impaired valve morphology and function. Overall, our results reveal the intricate control of prox1a expression through a collection of enhancers. Ray-finned fish-specific distal enhancers drive pan-lymphatic expression, while vertebrate-conserved proximal enhancers refine expression in functionally distinct subsets of lymphatic vessels. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=89 SRC="FIGDIR/small/550483v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@fed780org.highwire.dtl.DTLVardef@f62a8dorg.highwire.dtl.DTLVardef@163b04corg.highwire.dtl.DTLVardef@1cb7f87_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2023

Extraordinary preservation of gene collinearity over three hundred million years revealed in homosporous lycophytes

Homosporous lycophytes (Lycopodiaceae) are a deeply diverged lineage in the plant tree of life, having split from heterosporous lycophytes (Selaginella and Isoetes) [~]400 million years ago (MYA). Compared to the heterosporous lineage, Lycopodiaceae has markedly larger genome sizes and remains the last major plant clade for which no genomic data has been available. Here, we present chromosomal genome assemblies for two homosporous lycophyte species, the allotetraploid Huperzia asiatica and the diploid Diphasiastrum complanatum. Remarkably, despite that the two species diverged [~]350 MYA, around 30% of the genes are still in syntenic blocks. Furthermore, both genomes had undergone independent whole genome duplications and the resulting intra-genomic syntenies have likewise been preserved relatively well. Such slow genome evolution over deep time is in stark contrast to heterosporous lycophytes and is correlated with a decelerated rate of nucleotide substitution. Together, the genomes of H. asiatica and D. complanatum not only fill a crucial gap in the plant genomic landscape, but also uncover a possibly unique genomic contrast between homosporous and heterosporous species.

genomics↗

bioRxiv2023

S2' cleavage site plays a decisive role in expansion of Vero cell tropism by infectious bronchitis virus HV80, with Q855H promoting cell-to-cell fusion

Infectious bronchitis virus (IBV) has restricted cell tropism. Apart from the Beaudette strain, other IBVs cannot infect mammalian cell lines. The limited cell tropism of other IBVs has hindered the development of IBV vaccines and research on mechanisms of IBV infection. In a previous study, a new Vero-cell-adapted strain HV80 was obtained via serial chicken embryo and cell passaging of strain H120 and 17 mutations leading to amino acid substitutions occurred in replication gene 1a, S gene and E gene. This study, we constructed recombinants that expressed chimeric S glycoprotein, S1 or S2 subunit of strain H120, and demonstrated that mutations in S2 subunit were related to the Vero cell adaption of strain HV80. With a genome backbone of strain HV80 or H120, and expression of chimeric S2' cleavage site of H120 or HV80, two recombinants demonstrated that the RRRR690/S motif at the S2' cleavage site played a key role in Vero cell adaption of strain HV80. Another six amino acid substitutions in the S2 subunit of the recombinants showed that F692V enhanced the capability of invasion of HV80 strain, and Q855H induced the formation of syncytia. A transient transfection assay demonstrated different mechanisms for virus-to-cell fusion and cell-to-cell fusion induced by S glycoprotein. The PRRR690/S motif at the S2' cleavage site could be activated by proteases in the process of cell-to-cell fusion, while H855Q substitution did not affect the cell invasion of HV80, but hindered the cell-to-cell fusion by blocking activation of the S2' cleavage site. IMPORTANCEInfectious bronchitis is an acute respiratory disease that has caused large economic losses to the poultry industry. As a member of the gamma-coronaviruses, the restricted cell tropism of infectious bronchitis virus (IBV) limits the development of cellular vaccines and research on infection mechanisms. As a strain that can replicate effectively in mammalian cell lines, studies of HV80s adaptive mechanisms point a way for engineering other IBVs for adaptation in mammalian cell lines. In our study, different recombinants were constructed by reverse genetic techniques, and demonstrated the different mechanism between virus-to-cell and cell-to-cell fusion induced by HV80 S glycoprotein. The acquisition of a highly efficient S2' cleavage site enabled the virus to invade Vero cells. The Q855H substitution played a key role in cell-to-cell fusion, and provided a more efficient model of infection in Vero cells. Our study provides new theoretical insights into mechanisms of IBV adaptation in mammalian cell lines.

microbiology↗

bioRxiv2023

MaGplotR: a software for the analysis and visualization of multiple MaGeCK screen datasets through aggregation

MotivationMaGplotR analyzes multiple CRISPR screen datasets, identifies common hits, couples the hits to enrichment analysis and cluster plots, and produces publication-level plots. Output plots give information on the quality control of the screen data (e.g., sgRNA distribution) and show the best hits by aggregation from multiple screen experiments. To maximize comparability, rank is used to identify common hits. MaGplotR can also be used to analyze experiments where a control condition is used for multiple treatment conditions. MaGplotR is easy to use, with even just one argument. Availability and implementationMaGplotR is open-source code under MIT license. It is available at https://github.com/alematia/MaGplotR. Contactalejandro.matia@inia.csic.es

bioinformatics↗

bioRxiv2022

Platform-Agnostic CellNet (PACNet) enables cross-study meta-analysis of cell fate engineering protocols

The optimization of cell fate engineering protocols requires evaluating their fidelity, efficiency, or both. We previously adopted CellNet, a computational tool to quantitatively assess the transcriptional fidelity of engineered cells and tissues as compared to their in vivo counterparts based on bulk RNA-Seq. However, this platform and other similar approaches are sensitive to experimental and analytical aspects of transcriptomics methodologies. This makes it challenging to capitalizing on the expansive, publicly available sets of transcriptomic data that reflect the diversity of cell fate engineering protocols. Here, we present Platform-Agnostic CellNet (PACNet), which extends the functionality of CellNet by enabling the assessment of transcriptional profiles in a platform-agnostic manner, and by enabling the comparison of user-supplied data to panels of engineered cell types from state-of-the-art protocols. To demonstrate the utility of PACNet, we evaluated a range of cell fate engineering protocols for cardiomyocytes and hepatocytes. Through this analysis, we identified the best-performing methods, characterized the extent of intra-protocol and inter-lab variation, and identified common off-target signatures, including a surprising neural and neuroendocrine signature in primary liver-derived organoids. Finally, we made our tool accessible as a user-friendly web application that allows users to upload their own transcriptional profiles and assess their protocols relative to our database of reference engineered samples. Highlights* The development of Platform-Agnostic CellNet (PACNet) that classifies engineered cell populations from transcriptome data regardless of profiling method or transcript abundance estimation method * PACNet enables cross-study comparisons of cell fate engineering protocols * Comparison of cardiomyocyte engineering protocols emphasizes metabolic selection as a key step in achieving a strong cardiomyocyte fate. * PACNet identifies an unexpected off-target neural and neuroendocrine signature in primary liver-derived organoids. eTOC BlurbCahan and colleagues created a computational resource, PACNet, which evaluates the fidelity of cell engineering expression profiles in a platform-agnostic manner to facilitate cross-protocol benchmarking. Examining state-of-the-field cardiomyocyte and hepatocyte derivation protocols, they identified that two techniques in cardiomyocyte engineering best increase cardiac identity and that an off-target neural/neuroendocrine signature in primary liver-derived organoids may reflect a cholangiopathic signature. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/506886v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@e4e985org.highwire.dtl.DTLVardef@9f485borg.highwire.dtl.DTLVardef@1475d0borg.highwire.dtl.DTLVardef@2d8c31_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2022

SOGO-SOFI, light-modulated super-resolution optical fluctuation imaging using only 20 raw frames for high-fidelity reconstruction

Taking advantage of the stochastic photoswitching of genetically encodable reversibly photoswitchable fluorescent proteins (RSFPs), super-resolution optical fluctuation imaging (SOFI) and its variant photochromic stochastic optical fluctuation imaging (pcSOFI) are valuable tools for wide field super- resolution (SR) imaging. Live-cell (pc)SOFI, which requires a small number of original frames to reconstruct an SR image, is prone to structural discontinuity artifacts and low spatial resolution. Herein, we developed a repeated synchronized on- and gradually off-switching SOFI (SOGO-SOFI) that maximized the photoswitching frequency of RSFPs by light modulation and required only 20 frames for high-quality reconstruction. Live-cell SOGO-SOFI imaging of the endoplasmic reticulum (ER) exhibited 10 times higher temporal resolution (100 fps) and fewer artifacts than pcSOFI. Moreover, a combination of SOGO-SOFI with Airyscan further increased the image contrast and the resolution of Airyscan by a factor of 1.5 from 140 nm to 91 nm. The capabilities of SOGO-SOFI were further demonstrated by dual- color imaging of nucleolar proteins in mammalian cells and deep imaging of ER structures in thick brain slices (20.6 {micro}m).

biophysics↗