Biology subjects

Islam, M.

Publications and source records attributed to Islam, M..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

A dynamin-like protein in the human malaria parasite plays an essential role in mitochondrial homeostasis and fission during asexual blood stages

Malaria parasite harbors a single mitochondrion and its proper segregation during the parasite multiplication is crucial for propagation of the parasite within the host. Mitochondrial fission machinery consists of a number of proteins that associate with mitochondrial membrane during segregation. Here, we have identified a dynamin-like protein in P. falciparum, PfDyn2, and deciphered its role in mitochondrial division, segregation and homeostasis. GFP targeting approach combined with high resolution microscopy studies showed that the PfDyn2 associates with mitochondrial membrane to form a clip/hairpin loop like structure around it at specific sites during mitochondrial division. The C-terminal degradation tag mediated inducible knock-down (iKD) of PfDyn2 resulted in significant inhibition of parasite growth. PfDyn2-iKD hindered mitochondrial development and functioning, decreased mtDNA replication, and induced mitochondrial oxidative-stress, ultimately causing parasite death. Further, treatment of parasites with dynamin specific inhibitors disrupted the recruitment of PfDyn2 on the mitochondria, blocked mitochondrial development, and induced oxidative stress. Regulated overexpression of a phosphorylation mutant of PfDyn2 (Ser-612-Ala) had no effect on the recruitment of PfDyn2 on the mitochondria; normal mitochondrial division and parasite growth showed that phosphorylation/dephosphorylation of this conserved serine residue (Ser612) may not be responsible for regulating recruitment of PfDyn2 to the mitochondrion. Overall, we show essential role of PfDyn2 in mitochondrial dynamics and fission as well as in maintaining its homeostasis during asexual cycle of the parasite.

cell biology↗

bioRxiv2024

Combination of AID2 and BromoTag expands the utility of degron-based protein knockdowns

Acute protein knockdown is a powerful approach to dissecting protein function in dynamic cellular processes. We previously reported an improved auxin-inducible degron system, AID2, but recently noted that its ability to induce degradation of some essential replication factors, such as ORC1 and CDC6, was not enough to induce lethality. Here, we present combinational degron technologies to control two proteins and enhance target depletion. For this purpose, we initially compared PROTAC-based degrons, dTAG and BromoTag, with AID2 to reveal their key features and then demonstrated control of cohesin and condensin with AID2 and BromoTag, respectively. We developed a double-degron system with AID2 and BromoTag to enhance target depletion and accelerate depletion kinetics and demonstrated that both ORC1 and CDC6 are pivotal for MCM loading. Finally, we found that co-depletion of ORC1 and CDC6 by the double-degron system completely suppressed DNA replication, and the cells entered mitosis with single-chromatid chromosomes, indicating DNA replication was uncoupled from the cell cycle control. Our combinational degron technologies will expand the application scope for functional analyses.

cell biology↗

bioRxiv2024

Scalable single-cell pooled CRISPR screens with conventional knockout vector libraries

Current methods for single-cell RNA profiling of pooled CRISPR screens are limited, either by indirect capture of single guide RNAs (sgRNAs) or by custom modification of plasmid libraries. Here, we present a direct sgRNA capture platform called Native sgRNA Capture and sequencing (NSC-seq) that enables single-cell CRISPR screens using common knockout plasmid libraries, facilitating genotype-phenotype mapping at multiple scales in vitro and in vivo. Additionally, we characterize sgRNA expression in three whole-genome knockout libraries, revealing a substantial subset of truncated (isoform) spacer reads. We provide this dataset as a reference of expressed sgRNA isoforms that may potentially have compromised CRISPR gene editing efficacy and precision.

genomics↗

bioRxiv2024

The interplay between dormant mutated cells and tumor promotion by chronic tissue damage in determining cancer risk.

While the causal role of mutagenic carcinogens in tumor development is well established, the relative contribution of environmental tumor promoting factors, wounding, and chronic inflammation is still unclear. Recent sequencing studies have suggested that most environmental carcinogens act as promoters rather than through mechanisms that involve direct induction of point mutations, but whether cancer risk factors such as obesity, chronic inflammation, wounding, or tumor promoters contribute directly or indirectly to mutation burden, or induce novel signatures, has not been investigated. Here, we present WGS analysis of over 100 mouse skin tumors to compare the effects of exposure to mutagens, the tumor promoter TPA, chronic wounding, obesity, or chemotherapy, on mutational burden and cancer risk. All tumors initiated by the carcinogen Dimethylbenzanthracene (DMBA) show a very strong A>T mutational signature (SBS.DMBA) attributable to a single exposure to this carcinogen. The number of SBS.DMBA mutations also showed a strong correlation with the "clock" signature SBS5, suggesting that one treatment with this mutagen can induce mutational signatures attributed to endogenous processes. No specific signatures could be attributed to obesity, high fat diet, wounding, or TPA. Cells carrying thousands of mutations persist over very long periods without inducing tumors or causing pathological changes but can give rise to tumors after short term exposure to TPA. Furthermore, normal cell turnover and proliferation during fetal and adult growth, is not sufficient for promotion, but tissue damage followed by regenerative proliferation seems to be required for tumor development. We conclude that tumor promoters, chronic inflammation, wounding, and obesity do not contribute significantly to tumor mutational burden, and that the rate-limiting determinant of tumor growth is exposure to a tumor promoter rather than the nature or number of genomic point mutations. These data are highly relevant to the recent demonstration of persistent oncogenic mutations in histologically normal human tissues during ageing.

cancer biology↗

bioRxiv2023

Temporal recording of mammalian development and precancer

Key to understanding many biological phenomena is knowing the temporal ordering of cellular events, which often require continuous direct observations [1, 2]. An alternative solution involves the utilization of irreversible genetic changes, such as naturally occurring mutations, to create indelible markers that enables retrospective temporal ordering [3-8]. Using NSC-seq, a newly designed and validated multi-purpose single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, while incorporating assigned cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during murine embryonic development and identified new intestinal epithelial progenitor states by their unique genetic histories. NSC-seq analysis of murine adenomas and single-cell multi-omic profiling of human precancers as part of the Human Tumor Atlas Network (HTAN), including 116 scRNA-seq datasets and clonal analysis of 418 human polyps, demonstrated the occurrence of polyancestral initiation in 15-30% of colonic precancers, revealing their origins from multiple normal founders. Thus, our multimodal framework augments existing single-cell analyses and lays the foundation for in vivo multimodal recording, enabling the tracking of lineage and temporal events during development and tumorigenesis.

developmental biology↗

bioRxiv2023

Epigenetic mediated functional reprogramming of immune cells leads to HBsAg seroconversion in Hepatitis B Virus Reactivation patients

BackgroundHepatitis B virus (HBV) modulates epigenetic landscape by epigenetic regulators. HBsAg seroconversion is possible with immune activation, therefore we aimed to investigate epigenetic modulation in HBV reactivation (rHBV) for viral clearance and seroconversion. MethodsSixteen retrospectively collected rHBV patients [Seroconverters (SC, n=7, HBsAg loss and anti-HBs>10 IU/ml), non- seroconverters (NSC, n=9)], chronic hepatitis B treatment naive (nCHBV, n=7) patients and healthy controls (HC, n=7) were included in this study. Genome methylation, gene expression, plasma-cytokines, and immune cell profiling was analysed by Reduced Representation Bisulfite Sequencing (RRBS), QRT-PCR, multiplex-cytokine-bead array and flow-cytometry. ResultsrHBV patients having high HBV DNA and ALT showed epigenetic remodellers; KDM2B, NCOR2 and GATA6, immune and metabolic genes; TGF-{beta}, IL-6, IRF8, RPTOR, HK3 significantly (p<0.05) hypomethylated at specific CpG islands compared to nCHBV. TOX was hypomethylated in nCHBV suggesting immune-exhaustion. At-baseline, seroconverters showed hypomethylation of KDM2B, COX19, IRF8, TLR5 and hypermethylation of LAG3 compared to non-seroconverters. Further, in seroconverters at week-24, IL17RA, IFN-{gamma}, TGF-{beta}, and STAT5B (p<0.05) were additionally hypomethylated at specific CpG islands suggesting immune activation. Cytokine-bead analysis revealed increased IL-6 (p=0.009) and decreased LAG3 plasma levels (p=0.01) also imply on significantly differentiated HBV specific CD8, Tfh and Th1/17 cells in seroconverters at baseline and week-24. However, both nCHBV and non-seroconverters had consistent hypomethylation of LAG3 and TOX, which leads to immune exhaustion. ConclusionIn rHBV, seroconversion is driven by position specific CpG islands methylation in epigenetic remodellers, immune and metabolic genes. Immune metabolic reprograming is reflected by Th1/17 differentiation, extensive interleukin production for HBsAg seroconversion. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/554133v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@48e206org.highwire.dtl.DTLVardef@ef0fa7org.highwire.dtl.DTLVardef@ecb710org.highwire.dtl.DTLVardef@e6b34e_HPS_FORMAT_FIGEXP M_FIG C_FIG Lay summaryEpigenetic landscape in nCHBV depicts exhaustion and immune dysfunction. Out of many hypermethylated CpG islands of nCHBV, few become hypomethylated in rHBV and drives immune and metabolic reprogramming. This study provides insights into the cellular and molecular basis of epigenomic programs that regulate the differentiation and activation of immune cells leading to viral clearance and seroconversion. Targeting epigenetic mechanism could be promising strategy for the treatment of nCHBV and non-seroconverters.

immunology↗

bioRxiv2023

A resurrection ecology test for the effects of ionizing radiation and other environmental correlates on Daphnia evolution

Acute exposure to ionizing radiation has well-documented, immediate negative consequences for individuals. However, the evolutionary consequences for populations exposed to ionizing radiation is unclear. For example, a meta-analysis of taxa exposed to Chernobyl fallout found some evidence for elevated mutation rates in animal and plant taxa; however, in people, de novo mutation rates in offspring of parents exposed to radiation during and after the Chernobyl accident were no higher than controls. Furthermore, whether irradiation and increased mutation rates drive adaptation to radiation also has mixed support. Ambiguity in both cases likely arises from the difficulty of studying mutation rates and adaptation after rare nuclear events whose ionizing radiation is distributed heterogeneously in time and space. Here, we report an attempt to better address this difficulty with a "resurrection ecology" study of Daphnia spp. in Utah lakes that experienced nuclear fallout from US Department of Energy weapons testing in the 1950s and 1960s. The idea was to recover dormant Daphnia eggs from sediment cores that spanned the nuclear testing era in the American West. We predicted that survival and fecundity of eggs hatched in the lab would show fitness declines correlated with ionizing radiation fallout and a potential recovery once nuclear testing stopped. We successfully obtained multiple cores from three lakes that dated back to the 1800s. We isolated >4700 dormant eggs from those cores, spanning the nuclear era, but were only able to hatch a single egg in the lab. Thus, we could not conduct life history experiments to test our prediction. The purpose of this manuscript, therefore, is to describe the study and make our radioisotope core dating and sedimentation data available to other paleolimnological researchers. We also report a side study of stable isotope change through time measured from dormant eggs and the sediment.

evolutionary biology↗

bioRxiv2023

A Machine Learning Approach to Predict Cellular Mechanical Stresses in Response to Chemical Perturbation

Mechanical stresses generated at the cell-cell level and cell-substrate level have been suggested to be important in a host of physiological and pathological processes. However, the influence various chemical compounds have on the mechanical stresses mentioned above is poorly understood, hindering the discovery of novel therapeutics and representing a barrier in the field. To overcome this barrier, we implemented two machine learning (ML) Models: Stepwise Linear Regression (SLR) and Quadratic Support Vector Machine (QSVM) to predict the dose-dependent response of tractions and intercellular stresses to chemical perturbation. We used traction and intercellular stress experimental data gathered from 0.2 g/mL and 2 g/mL drug concentrations along with cell morphological properties to train our model. To demonstrate the predictive capability of our ML model we predicted tractions and intercellular stresses in response to 0 g/ml & 1 g/ml drug concentrations. Results revealed the QSVM model to best predict intercellular stresses, while SLR best predicted tractions. Author SummaryThe ML framework we present here can be used to predict the mechanical response of any anchorage-dependent cell type to any chemical perturbation. The proposed ML can directly predict the intercellular stresses or tractions as a function of drug dosage and/or monolayer/cell coverage area which could potentially reduce the experimental time on studying the mechanics of cells to external chemicals or mechanical constraints. We believe our findings could be helpful in accelerating drug discovery and increase our understanding in the role of cellular stresses during disease progression.

biophysics↗

bioRxiv2022

Role of Caveolin 1 in metabolic programming of fetal brain

Caveolin-1 (Cav1) encodes a major protein of the lipid rafts, called caveolae, which are plasma membrane invaginations found in most cells of mammals. Cav1-null mice, at an early adult age, exhibit symptoms that are hallmarks of Alzheimers disease, and show brain aging similar to that of one and half year old wildtype mice. In the present study, integrative analysis of metabolomics, transcriptomics, epigenetics and single cell data was performed to test the hypothesis that metabolic deregulation of fetal brain due to lack of Cav1 influenced brain aging in these mice. The results of this study show that lack of Cav1 deregulated lipid and amino acid metabolism in the fetal brain. Genes associated with the deregulated metabolites were significantly altered in specific glial cells of the fetal brain, and epigenetically altered in a coordinated manner with specific genes of mouse epigenetic clock. The interaction between metabolic and epigenetic changes in the fetal brain altered gene expression of the brain at old age. Together, these results suggested that metabolic deregulation in the fetal life elicited an epigenetic memory that altered brain programming for aging in Cav1-null mice.

genomics↗

bioRxiv2022

Strategies for enriching and characterizing proteins with inhibitory properties on the yeast surface

Display technologies are powerful tools for discovering antibodies and other binding proteins against a broad range of biological targets. However, it remains challenging to adapt display technologies for the discovery of proteins that inhibit the enzymatic activities of such targets because the phenotypic readout during display screens is binding. The goal of this work is to investigate approaches for discovering inhibitory antibodies in yeast display format using a well-defined series of constructs and the target matrix metalloproteinase-9 (MMP-9). Three previously reported antibodies (DX-2802, M0076 and FAPB2.3.6) were used to create model libraries that are representative of protein libraries consisting of inhibitory binders, non-inhibitory binders, and non-binding constructs. Conditions that preferentially enrich for inhibitory clones were identified for both magnetic bead-based enrichments and fluorescence-activated cell sorting (FACS). Finally, we used direct titration of yeast to estimate inhibitor IC50 values with yeast-displayed and soluble constructs and found that the IC50 obtained for DX-2802 in yeast display format (20.01 {+/-} 9.01 nM) falls within the confidence interval of IC50 the soluble scFv-Fc form of DX-2802 (17.56 {+/-} 6.16 nM). Thus, it is possible to obtain IC50 values on the yeast surface, which greatly streamlines initial characterizations of inhibitory properties. Overall, we used these well-defined constructs to identify strategies for the discovery and characterization of inhibitory clones directly in surface display format.

bioengineering↗

bioRxiv2022

Efficacy of plasmid-encoded CRISPR-Cas antimicrobial is affected by competitive factors found in wild Enterococcus faecalis isolates

Enterococcus faecalis is a leading cause of hospital-acquired infections. These infections are becoming more difficult to treat due to the increasing emergence of E. faecalis strains resistant to last resort antibiotics. Over the past decade, multiple groups have engineered the naturally occurring bacterial defense system CRISPR-Cas as a sequence-specific antimicrobial to combat antibiotic-resistant bacteria. We have previously established that the type II CRISPR-Cas system of E. faecalis can be reprogrammed as a CRISPR-Cas antimicrobial and delivered to antibiotic-resistant recipients on a conjugative pheromone-responsive plasmid. Using a co-culture system, we showed sequence-specific depletion of antibiotic resistance from E. faecalis model strains, both in vitro and in vivo. Although this and other studies have demonstrated the potential use for CRISPR-Cas as an antimicrobial, most have deployed the system against model bacterial strains. Thus, there is limited knowledge on how effective these potential therapies are against recently isolated and uncharacterized strains with limited laboratory passage, which we refer to here as wild strains. Here, we compare the efficacy of our previously established CRISPR-Cas antimicrobials against both E. faecalis model strains and wild E. faecalis fecal isolates. We demonstrate that these wild isolates can antagonize the CRISPR-Cas antimicrobial donor strain via competitive factors like cytolysin. Furthermore, we show that the wild isolates can effectively prevent delivery of the CRISPR-Cas antimicrobial plasmids, consequently avoiding CRISPR-Cas targeting. Our results emphasize the requisite to study CRISPR-Cas antimicrobials against wild strains to understand limitations and develop delivery systems that can endure competitive interspecies interactions in the gut microenvironment and effectively deliver CRISPR-Cas antimicrobials to their intended targets. IMPORTANCEEnterococcus faecalis is a major nosocomial pathogen. Traditional antibiotics continue to lose potency against these opportunistic pathogens as they become increasingly resistant to more antibiotics. We previously showed that our CRISPR-Cas antimicrobials can deplete drug resistance in or kill E. faecalis model strains. Here, we examined the efficacy of CRISPR-Cas antimicrobials against a recent collection of E. faecalis fecal isolates. We found that CRISPR-Cas delivery and efficacy is affected by competitive factors produced by the wild isolates. Our study emphasizes the need to study CRISPR-Cas antimicrobials in the context of wild bacterial isolates, which are the intended target for this potential therapy, in order to understand limitations and develop CRISPR-enhanced antimicrobials with effective clinical applications.

microbiology↗

bioRxiv2022

Fetal origin of sex-bias brain aging

DNA methylation plays crucial roles during fetal development as well as aging. Whether the aging of the brain is programmed at the fetal stage remains untested. To test this hypothesis, mouse epigenetic clock (epiclock) was profiled in fetal (gestation day 15), postnatal (day 5), and aging (week 70) brain of male and female C57BL/6J inbred mice. Data analysis showed that on week 70 the female brain was epigenetically younger than the male brain. Predictive modeling by neural network identified specific methylations in the brain at the developing stages that were predictive of epigenetic state of the brain during aging. Transcriptomic analysis showed coordinated changes in expression of epiclock genes in the fetal brain relative to placenta. Whole-genome bisulfite sequencing identified sites that were methylated both in the placenta and fetal brain in a sex-specific manner. Epiclock genes and genes associated with specific signaling pathways, primarily the gonadotropin-releasing hormone receptor (GnRHR) pathway, were associated with these sex-bias methylations in the placenta as well as fetal brain. Transcriptional crosstalk among the epiclock and GnRHR pathway genes was evident in the placenta that was maintained in the brain during development as well as aging. Collectively, these findings suggest that sex differences in the aging of brain are of fetal origin and epigenetically linked to the placenta.

genomics↗

bioRxiv2021

Figbird: A probabilistic method for filling gaps in genome assemblies

MotivationAdvances in sequencing technologies have led to sequencing of genomes of a multitude of organisms. However, draft genomes of many of these organisms contain a large number of gaps due to repeats in genomes, low sequencing coverage and limitations in sequencing technologies. Although there exist several tools for filling gaps, many of these do not utilize all information relevant to gap filling. ResultsHere, we present a probabilistic method for filling gaps in draft genome assemblies using second generation reads based on a generative model for sequencing that takes into account information on insert sizes and sequencing errors. Our method is based on the expectation-maximization (EM) algorithm unlike the graph based methods adopted in the literature. Experiments on real biological datasets show that this novel approach can fill up large portions of gaps with small number of errors and misassemblies compared to other state of the art gap filling tools. Availability and ImplementationThe method is implemented using C++ in a software named "Filling Gaps by Iterative Read Distribution (Figbird)", which is available at: https://github.com/SumitTarafder/Figbird. Contactatif@cse.buet.ac.bd Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2021

Genetically distant bacteriophages elicit unique genomic changes in Enterococcus faecalis

The human microbiota harbors diverse bacterial and bacteriophage (phage) communities. Bacteria evolve to overcome phage infection, thereby driving phage evolution to counter bacterial resistance. Understanding how phages promote genetic alterations in medically relevant bacteria is important as phages continue to become established biologics for the treatment of multidrug-resistant (MDR) bacterial infections. Before phages are used as standalone or combination antibacterial therapies, we must obtain a deep understanding of the molecular mechanisms of phage infection and how host bacteria alter their genomes to become resistant. We performed coevolution experiments using a single Enterococcus faecalis strain and two distantly related phages, to determine how phage pressure impacts the evolution of the E. faecalis genome. Whole genome sequencing revealed mutations previously demonstrated to be essential for phage infection. We also identified mutations in several genes previously unreported to be associated with phage infection in E. faecalis. Intriguingly, there was only one shared mutation in the E. faecalis genome in response to each of the two phages tested, demonstrating that infection by genetically distinct phages results in different host responses. This study shows that infection of the same host by disparate phages leads to evolutionary trajectories that result in distinct genetic changes. This implies that bacteria respond to phage pressure through host responses that are tailored to specific phages. This work serves as the basis for the study of E. faecalis genome evolution during phage infection and will inform the design of future therapeutics, such as phage cocktails, intended to target MDR E. faecalis. IMPORTANCEStudies characterizing the genome evolution of bacterial pathogens following phage selective pressure are lacking. Phage therapy is experiencing a rebirth in Western medicine. Such studies are critical for understanding how bacteria subvert phage infection and how phages evolve to counter such mutations. This study utilizes comparative genomic analyses to demonstrate how a pathogenic strain of Enterococcus faecalis responds to infection by two genetically distant phages. We show that genetic alterations in the E. faecalis genome accumulate in a manner that is specific to the infecting phage with little to no overlap in shared fixed mutations. This suggests that bacterial genome evolution in response to phage infection is uniquely tied to phage genotype, and sets a precedence for investigations into how phages drive bacterial genome evolution relevant to phage therapeutic applications.

microbiology↗

bioRxiv2021

Human engineered skeletal muscle of hypaxial origin from pluripotent stem cells with advanced function and regenerative capacity

Human pluripotent stem cell derived muscle models show great potential for translational research. Here, we describe developmentally inspired methods for derivation of skeletal muscle cells and their utility in three-dimensional skeletal muscle organoid formation as well as skeletal muscle tissue engineering. Key steps include the directed differentiation of human pluripotent stem cells to embryonic muscle progenitors of hypaxial origin followed by primary and secondary fetal myogenesis into hypaxial muscle with development of a satellite cell pool and evidence for innervation in vitro. Skeletal muscle organoids faithfully recapitulate all steps of embryonic myogenesis in 3D Tissue engineered muscle exhibits organotypic maturation and function, advanced by thyroid hormone. Regenerative competence was demonstrated in a cardiotoxin injury model with evidence of satellite cell activation as underlying mechanism. Collectively, we introduce a hypaxial muscle model with canonical properties of bona fide skeletal muscle in vivo to study muscle development, maturation, disease, and repair.

cell biology↗

bioRxiv2021

TRAF2, an innate immune sensor, reciprocally regulates mitophagy and inflammation to maintain cardiac myocyte homeostasis.

Mitochondrial damage triggers cell death signaling with catastrophic consequences in long-lived and irreplaceable cells, such as cardiac myocytes. Sensing of leaked mitochondrial DNA upon mitochondrial damage is also a potent trigger of inflammation. Whether the innate immune response pathways monitor mitochondrial damage in mitochondria-rich cardiac myocytes to prevent inflammation and cell death, remains unknown. TRAF2, an adaptor protein downstream of innate immune receptors, localizes to the mitochondria in the unstressed heart, with increased mitochondrial targeting in cardiomyopathic human hearts and after cardiac ischemia-reperfusion injury in mice. Inducible cardiomyocyte-specific deletion of TRAF2 in young adult mice impairs mitophagy with rapid decline in mitochondrial quality, upregulates TLR9 expression in cardiac myocytes, and results in inflammation and cell death manifesting as a fulminant cardiomyopathy. Preventing TLR9-mediated mitochondrial DNA sensing and resultant inflammation provides a short-term reprieve from cardiomyopathy, but persistence of damaged mitochondria results in long-term recrudescence. Restoration of wild-type TRAF2, but not the E3 ubiquitin ligase deficient mutant, improves mitochondrial quality and rescues cardiomyopathy to restore homeostasis. Thus, the innate immune response acts via TRAF2 as the first line of defense against mitochondrial damage by orchestrating homeostatic mitophagy to dampen myocardial inflammation and prevent cell death.

cell biology↗

bioRxiv2021

Single cell transcriptomics and developmental trajectories of murine cranial neural crest cell fate determination and cell cycle progression

Cranial neural crest (NC) cells migrate long distances to populate the future craniofacial regions and give rise to various tissues, including facial cartilage, bones, connective tissues, and cranial nerves. However, the mechanism that drives the fate determination of cranial NC cells remains unclear. Using single-cell RNA sequencing combined genetic fate mapping, we reconstructed developmental trajectories of cranial NC cells, and traced their differentiation in mouse embryos. We identified four major cranial NC cell lineages at different status: pre-epithelial-mesenchymal transition, early migration, NC-derived mesenchymal cells, and neural lineage cells from embryonic days 9.5 to 12.5. During migration, the first cell fate determination separates cranial sensory ganglia, the second generates mesenchymal progenitors, and the third separates other neural lineage cells. We then focused on the early facial prominences that appear to be built by undifferentiated, fast-dividing NC cells that possess similar transcriptomic landscapes, which could be the drive for the facial developmental robustness. The post-migratory cranial NC cells exit the cell cycle around embryonic day 11.5 after facial shaping is completed and initiates further fate determination and differentiation processes. Our results demonstrate the transcriptomic landscapes during dynamic cell fate determination and cell cycle progression of cranial NC lineage cells and also suggest that the transcriptomic regulation of the balance between proliferation and differentiation of the post-migratory cranial NC cells can be a key for building up unique facial structures in vertebrates.

developmental biology↗

bioRxiv2021

Role of African swine fever virus (ASFV) proteins EP153R and EP402R in reducing viral persistence and virulence from attenuated BeninΔDP148R

The limited knowledge on the role of many of the approximately 170 proteins encoded by African swine fever virus restricts progress towards vaccine development. In this study we investigated the effect of deleting combinations of different genes from a previously attenuated virus, Benin{Delta}DP148R on: virus replication in macrophages, virus persistence and clinical signs post immunization, and induction of protection against challenge. Deletion of either EP402R or EP153R genes individually or in combination from Benin{Delta}DP148R did not reduce virus replication in vitro. However, deletion of EP402R dramatically reduced viral persistence in vivo, whilst maintaining high levels of protection against challenge. The additional deletion of EP153R (Benin{Delta}DP148R{Delta}EP153R{Delta}EP402R) further attenuated the virus and no viremia or clinical signs were observed post immunization. This was associated with decreased protection and detection of moderate levels of challenge virus in blood. Interestingly, the deletion of EP153R alone from Benin{Delta}DP148R did not result in further virus attenuation and a slight increase in virus genome copies in blood was observed at different times post immunization when compared with Benin{Delta}DP148R. These results show that EP402R and EP153R have a synergistic role in promoting viremia, however EP153R alone does not seem to have a major impact on virus levels in blood.

microbiology↗