Biology subjects

Hou, S.

Publications and source records attributed to Hou, S..

At least 73 records · Page 4Linked to original sources

bioRxiv2021

Biphasic roles of hedgehog signaling in the production and self-renewal of outerradial glia in the ferret cerebral cortex

The neocortex, the center for higher brain function, emerged in mammals and expanded in the course of evolution. The expansion of outer radial glia (oRGs) and intermediate progenitor cells (IPCs) plays key roles in the expansion and consequential folding of the neocortex. Therefore, understanding the mechanisms of oRG and IPC expansion is important for understanding neocortical development and evolution. By using mice and human cerebral organoids, we previously revealed that hedgehog (HH) signaling expands oRGs and IPCs. Nevertheless, it remained to be determined whether HH signaling expanded oRGs and IPCs in vivo in gyrencephalic species, in which oRGs and IPCs are naturally expanded. Here, we show that HH signaling is necessary and sufficient to expand oRGs and IPCs in ferrets, a gyrencephalic species, through conserved cellular mechanisms. HH signaling increases oRG-producing division modes of ventricular radial glia (vRGs), oRG self-renewal, and IPC proliferation. Notably, HH signaling affects vRG division modes only in an early restricted phase before superficial-layer neuron production peaks. Beyond this restricted phase, HH signaling promotes oRG self-renewal. Thus, HH signaling expands oRGs and IPCs in two distinct but continuous phases during cortical development.

developmental biology↗

bioRxiv2021

Development of potency, breadth and resilience to viral escape mutations in SARS-CoV-2 neutralizing antibodies

Antibodies elicited in response to infection undergo somatic mutation in germinal centers that can result in higher affinity for the cognate antigen. To determine the effects of somatic mutation on the properties of SARS-CoV-2 spike receptor-binding domain (RBD)-specific antibodies, we analyzed six independent antibody lineages. As well as increased neutralization potency, antibody evolution changed pathways for acquisition of resistance and, in some cases, restricted the range of neutralization escape options. For some antibodies, maturation apparently imposed a requirement for multiple spike mutations to enable escape. For certain antibody lineages, maturation enabled neutralization of circulating SARS-CoV-2 variants of concern and heterologous sarbecoviruses. Antibody-antigen structures revealed that these properties resulted from substitutions that allowed additional variability at the interface with the RBD. These findings suggest that increasing antibody diversity through prolonged or repeated antigen exposure may improve protection against diversifying SARS-CoV-2 populations, and perhaps against other pandemic threat coronaviruses.

microbiology↗

bioRxiv2021

Immune elicitation by sensing the conserved signature from phytocytokines and microbes via the Arabidopsis MIK2 receptor

Sessile plants encode a large number of small peptides and cell surface-resident receptor kinases, most of which have unknown functions. Here, we report that the Arabidopsis receptor kinase MALE DISCOVERER 1-INTERACTING RECEPTOR-LIKE KINASE 2 (MIK2) recognizes the conserved signature motif of SERINE RICH ENDOGENOUS PEPTIDEs (SCOOPs) from plants as well as proteins present in fungal Fusarium spp. and bacterial Comamonadaceae, and elicits potent immune responses. SCOOP signature peptides trigger diverse immune and physiological responses in a MIK2-dependent manner with a sub-nanomolar sensitivity and directly bind to the extracellular leucine rich-repeat domain of MIK2 in vivo and in vitro, indicating that MIK2 is the receptor of SCOOP peptides. Perception of SCOOP peptides induces the association of MIK2 and the coreceptors SOMATIC EMBRYOGENESIS RECEPTOR KINASE 3 (SERK3) and SERK4 and relays the signaling through the cytosolic receptor-like kinases BOTRYTIS-INDUCED KINASE 1 (BIK1) and AVRPPHB SUSCEPTIBLE1 (PBS1)-LIKE 1 (PBL1). Our study identified a unique plant receptor that bears a dual recognition capability sensing the conserved peptide motif from phytocytokines and microbial proteins via a convergent signaling relay to ensure a robust immune response.

plant biology↗

bioRxiv2021

Single-cell and single-variant resolution analysis of clonal evolution in human liver cancer

Genetic heterogeneity of tumor is closely related to clonal evolution, phenotypic diversity and treatment resistance. Such heterogeneity has been characterized in liver cancer at single-cell sub-chromosomal scale, and a more precise single-variant resolution analysis is lacking. Here we employed a strategy to analyze both the single-cell genomic mutations and transcriptomic changes in 5 patients with liver cancer. Target sequencing was done for a total of 480 single cells in a patient-specific manner. DNA copy number status of point mutations was obtained from single-cell mutational profiling. The clonal structures of liver cancers were then uncovered at single-variant resolution, and mutation combinations in single cells enabled reconstruction of their evolutionary history. A common origin but independent evolutionary fate was revealed for primary liver tumor and intrahepatic metastatic portal vein tumor thrombus. The mutational signature suggested early evolutionary process may be related to specific etiology like aristolochic acids. By parallel single-cell RNA-Seq, the transcriptomic phenotype was found to be related with genetic heterogeneity in liver cancer. We reconstructed the single-cell and single-variant resolution clonal evolutionary history of liver cancer, and dissection of both genetic and phenotypic heterogeneity provides knowledge for mechanistic understanding of liver cancer initiation and progression.

genomics↗

bioRxiv2020

Schizophrenia and autism-associated mutations and disrupted m6A signal by YTHDF1 cause defects in microtubule function and neurodevelopment

Subcellular mRNA localization and local translation are crucial for spatially regulated gene expression in neurons. However, the precise mechanisms governing the selective transport and translation of mRNAs contributing to processes such as axonal growth and branching are only partially understood. Here, we present evidence of N6-methyladenosine (m6A)-mediated translational control of the RNA-binding protein, APC, influencing cytoskeletal dynamics at the growth cone. Our findings demonstrate that m6A modifications occur on Apc mRNA, facilitating its recognition by YTHDF1 to promote APC translation in neuronal somata. Additionally, we observe that disrupting the m6A pathway impairs the transport and local translation of {beta}-actin mRNA in the axon and growth cones, a deficiency that can be rescued by the exogenous expression of APC protein in cultured neurons. Furthermore, we establish the essential role of YTHDF1 in axon development, particularly in callosal projection neurons during cortical development. Our findings suggest a novel mechanism involving m6A-mediated regulation of APC protein translation, linking epitranscriptomics to axonal mRNA targeting, cytoskeletal dynamics, and axon development.

neuroscience↗

bioRxiv2020

Microbiota-root-shoot axis modulation by MYC2 favours Arabidopsis growth over defence under suboptimal light

Bidirectional root-shoot signalling is likely key in orchestrating stress responses and ensuring plant survival. Here we show that Arabidopsis thaliana responses to microbial root commensals and light are interconnected along a microbiota-root-shoot axis. Microbiota and light manipulation experiments in a gnotobiotic system reveal that low photosynthetically active radiation (LP) perceived by leaves induce long-distance modulation of root bacterial, but not fungal or oomycetal communities. Reciprocally, bacterial root commensals and particularly Pseudomomas isolates are necessary for rescuing plant growth under LP. RNA-Seq, combined with leaf inoculation experiments with biotrophic and necrotrophic microbial pathogens indicate that microbiota-induced growth under LP coincides with transcriptional repression of immune responses, thereby increasing susceptibility to both pathogens. Inspection of a set of A. thaliana mutants demonstrates that orchestration of this light-dependent growth-defence trade-off requires the transcriptional regulator MYC2. Our work indicates that aboveground stress responses in plants can be governed by signals from microbial root commensals.

plant biology↗

bioRxiv2020

Ribosome-linked mRNA-rRNA chimeras reveal active novel virus-host associations.

Viruses of prokaryotes greatly outnumber their hosts1 and impact microbial processes across scales, including community assembly, evolution, and metabolism1. Metagenomic discovery of novel viruses has greatly expanded viral sequence databases, but only rarely can viral sequences be linked to specific hosts. Here, we adapt proximity ligation methods to ligate ribosomal RNA to transcripts, including viral ones, during translation. We sequenced the resulting chimeras, directly linking marine viral gene expression to specific hosts by transcript association with rRNA sequences. With a sample from the San Pedro Ocean Time-series (SPOT), we found viral-host links to Cyanobacteria, SAR11, SAR116, SAR86, OM75, and Rhodobacteracae hosts, some being the first viruses reported for these groups. We used the SPOT viral and cellular DNA database to track abundances of multiple virus-host pairs monthly over 5 years, e.g. with Roseovarius phages tracking the host. Because the vast majority of proximity ligations should occur between an organisms ribosomes and its own transcripts, we validated our method by looking for self- vs non-self mRNA-rRNA chimeras, by read recruitment to marine single amplified genomes; verifiable non-self chimeras, suggesting off-target linkages, were very rare, indicating host-virus hits were very unlikely to occur by mistake. This approach in practice could link any transcript and its associated processes to specific microorganisms.

microbiology↗

bioRxiv2020

Prime-boost vaccination of mice and Rhesus macaques with two novel adenovirus vectored COVID-19 vaccine candidates

COVID-19 vaccines are being developed urgently worldwide, among which single-shot adenovirus vectored vaccines represent a major approach. Here, we constructed two novel adenovirus vectored COVID-19 vaccine candidates on simian adenovirus serotype 23 (Sad23L) and human adenovirus serotype 49 vectors (Ad49L) carrying the full-length gene of SARS-CoV-2 spike protein (S), designated Sad23L-nCoV-S and Ad49L-nCoV-S vaccines, respectively. The immunogenicity elicited by these two vaccine strains was individually evaluated in mice. Specific humoral and cellular immune responses were proportionally observed in a dose-dependent manner, and stronger response was obtained by boosting. Furthermore, five rhesus macaques were intramuscularly injected with a dose of 5x109 PFU Sad23L-nCoV-S vaccine for prime vaccination, followed by boosting with 5x109 PFU of Ad49L-nCoV-S vaccine at 4-week interval. Three macaques were injected with Sad23L-GFP and Ad49L-GFP vectorial viruses as negative controls. Both mice and macaques tolerated well the vaccine inoculations without detectable clinical or pathologic changes. In macaques, prime-boost vaccination regimen induced high titers of 103.16 S-binding antibody (S-BAb), 102.75 cell receptor binding domain (RBD)-BAb and 102.38 neutralizing antibody (NAb) to pseudovirus a week after boosting injection, followed by sustained high levels over 10 weeks of observation. Robust IFN-{gamma} secreting T-cell response (712.6 SFCs/106 cells), IL-2 secreting T-cell response (334 SFCs/106 cells) and intracellular IFN-{gamma} expressing CD4+/CD8+ T cell response (0.39%/0.55%) to S peptides were detected in the vaccinated macaques. It was concluded that prime-boost immunization with Sad23L-nCoV-S and Ad49L-nCoV-S vaccines can safely elicit strong immunity in animals in preparation of clinical phase 1/2 trials.

immunology↗

bioRxiv2020

Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns

Maximal growth rate is a basic parameter of microbial lifestyle that varies over several orders of magnitude, with doubling times ranging from a matter of minutes to multiple days. Growth rates are typically measured using laboratory culture experiments. Yet, we lack sufficient understanding of the physiology of most microbes to design appropriate culture conditions for them, severely limiting our ability to assess the global diversity of microbial growth rates. Genomic estimators of maximal growth rate provide a practical solution to survey the distribution of microbial growth potential, regardless of cultivation status. We developed an improved maximal growth rate estimator, and implement this estimator in an easy-to-use R package (gRodon), which outperforms the state-of-the-art growth estimator in multiple settings, including in a community context where we implement a novel species abundance correction for metagenomes. Additionally, we estimate maximal growth rates from over 200,000 genomes, metagenome-assembled genomes, and single-cell amplified genomes to survey growth potential across the range of prokaryotic diversity. We provide these compiled maximal growth rates in a publicly-available database (EGGO), which we use to illustrate how culture collections show a strong bias towards organisms capable of rapid growth. We demonstrate how this database can be used to propagate maximal growth rate predictions to organisms for which we lack genomic information, on the basis of 16S rRNA sequence alone. Finally, we observe a bias in growth predictions for extremely slow-growing organisms, ultimately leading us to suggest a novel evolutionary definition of oligotrophy based on the selective regime an organism occupies. SignificanceDespite the wide perception that microbes have rapid growth rates, many environments like seawater and soil are often dominated by microorganisms that can only grow very slowly. Our knowledge about growth is necessarily biased towards easily culturable organisms, which turn out to be those that tend to grow fast, because microbial growth rates have traditionally been measured using lab growth experiments. But how are potential growth rates distributed in nature? We developed a tool to predict maximum growth rate from an organisms genome sequence (gRodon). We predicted the growth rates of over 200,000 organisms and compiled these predictions in a publicly-available database (EGGO), which illustrates how current collections of cultured microbes are strongly biased towards fast-growing organisms.

microbiology↗

bioRxiv2020

IgA MAb blocks SARS-CoV-2 Spike-ACE2 interaction providing mucosal immunity

COVID-19 caused by SARS-CoV-2 has become a global pandemic requiring the development of interventions for the prevention or treatment to curtail mortality and morbidity. No vaccine to boost mucosal immunity or as a therapeutic has yet been developed to SARS-CoV-2. In this study we discover and characterize a cross-reactive human IgA monoclonal antibody, MAb362. MAb362 binds to both SARS-CoV and SARS-CoV-2 spike proteins and competitively blocks hACE2 receptor binding, by completely overlapping the hACE2 structural binding epitope. Furthermore, MAb362 IgA neutralizes both pseudotyped SARS-CoV and SARS-CoV-2 in human epithelial cells expressing hACE2. SARS-CoV-2 specific IgA antibodies, such as MAb362, may provide effective immunity against SARS-CoV-2 by inducing mucosal immunity within the respiratory system, a potentially critical feature of an effective vaccine.

microbiology↗

bioRxiv2020

Precision engineering of the transcription factor Cre1 in Hypocrea jecorina (Trichoderma reesei) for efficient cellulase production in the presence of glucose

In Trichoderma reesei, carbon catabolite repression (CCR) significantly downregulates the transcription of cellulolytic enzymes, which is usually mediated by the zinc finger protein Cre1. It was found that there is a conserved region at the C-terminus of Cre1/CreA in several cellulase-producing fungi that contains up to three continuous S/T phosphorylation sites. Here, S387, S388, T389, and T390 at the C-terminus of Cre1 in T. reesei were mutated to valine for mimicking an unphosphorylated state, thereby generating the transformants Tr_Cre1S387V, Tr_Cre1S388V, Tr_Cre1T389V, and Tr_Cre1T390V, respectively. Transcription of cel7a in Tr_ Cre1S388V was markedly higher than that of the parent strain when grown in glucose-containing media. Under these conditions, both filter paperase (FPase) and p-nitrophenyl-{beta}-D-cellobioside (pNPCase) activities, as well as soluble proteins from Tr_Cre1S388V were significantly increased by up to 2- to 3-fold compared with that of other transformants and the parent strain. To our knowledge, this is the first report demonstrating an improvement of cellulase production in fungal species under CCR by mimicking dephosphorylation at the C-terminus of Cre1. Taken together, we developed a precision engineering strategy based on the modification of phosphorylation sites of Cre1 transcription factor to enhance the production of cellulase in fungal species under CCR.

bioengineering↗

bioRxiv2020

Real-time 3D Single Molecule Tracking

To date, single molecule studies have been reliant on tethering or confinement to achieve long duration and high temporal resolution measurements. Here, we present a 3D single-molecule active real-time tracking method (3D-SMART) which is capable of "locking on" to single fluorophores in solution for minutes at a time with photon limited temporal resolution. As a demonstration, 3D-SMART was applied to actively track single Atto 647N fluorophores in 90% glycerol solution with an average duration of ~16 s at count rates of ~10 kHz. Active feedback tracking was further applied to single proteins and nucleic acids, directly measuring the diffusion coefficient of various lengths (99 to 1385 bp) of single DNA molecules at speeds up to 10 m2/s. In addition, 3D-SMART was able to quantify to occupancy of single Spinach2 RNA aptamers and capture active transcription on single freely diffusing DNA. 3D-SMART represents a critical step towards the untethering of single molecule spectroscopy.

biophysics↗

bioRxiv2020

Role of RgsA in oxidative stress resistance in Pseudomonas aeruginosa

Pseudomonas aeruginosa is an extremely common opportunistic pathogen in clinical practice. Patients with metabolic disorders, hematologic diseases, malignancies, who have undergone surgery or who have received certain treatments are susceptible to this bacterium. In addition, P. aeruginosa is a multidrug-resistant that tends to form biofilms and is refractory to treatment. Small regulatory RNAs are RNA molecules that are 40-500 nucleotides long, possess regulatory function, are ubiquitous in bacteria, and are also known as small RNA (sRNA). sRNAs play important regulatory roles in various vital life processes in diverse bacteria and their quantity and diversity of regulatory functions exceeds that of proteins. In this study, we showed that deletion of the sRNA RgsA decreases the growth rate and ability to resist different concentrations and durations of peroxide in P. aeruginosa. These decreases occur not only in the planktonic state, but also in the biofilm state. Finally, protein mass spectrometry was employed to understand changes in the entire protein spectrum. The results presented herein provide a description of the role of RgsA in the life activities of P. aeruginosa at the molecular, phenotypic, and protein levels.

microbiology↗

bioRxiv2020

GOT1 Inhibition Primes Pancreatic Cancer for Ferroptosis through the Autophagic Release of Labile Iron

Pancreatic ductal adenocarcinoma (PDA) is one of the deadliest solid malignancies, with a 5-year survival rate at ten percent. PDA have unique metabolic adaptations in response to cell-intrinsic and environmental stressors, and identifying new strategies to target these adaptions is an area of active research. We previously described a dependency on a cytosolic aspartate aminotransaminase (GOT1)-dependent pathway for NADPH generation. Here, we sought to identify metabolic dependencies induced by GOT1 inhibition that could be exploited to selectively kill PDA. Using pharmacological methods, we identified cysteine, glutathione, and lipid antioxidant function as metabolic vulnerabilities following GOT1 withdrawal. Targeting any of these pathways was synthetic lethal in GOT1 knockdown cells and triggered ferroptosis, an oxidative, non-apoptotic, iron-dependent form of cell death. Mechanistically, GOT1 inhibition promoted the activation of autophagy in response to metabolic stress. This enhanced the availability of labile iron through ferritinophagy, the autolysosome-mediated degradation of ferritin. In sum, our study identifies a novel biochemical connection between GOT1, iron regulation, and ferroptosis, and suggests the rewired malate-aspartate shuttle plays a role in protecting PDA from severe oxidative challenge. HighlightsO_LIPDA exhibit varying dependence on GOT1 for in vitro and in vivo growth. C_LIO_LIExogenous cystine, glutathione synthesis, and lipid antioxidant fidelity are essential under GOT1 suppression. C_LIO_LIGOT1 inhibition sensitizes pancreatic cancer cell lines to ferroptosis. C_LIO_LIGOT1 inhibition represses anabolic metabolism and promotes the release of iron through autophagy. C_LI

cancer biology↗

bioRxiv2020

Dissecting endothelial to haematopoietic stem cell transition by single-cell transcriptomic and functional analyses

Haematopoietic stem cells (HSCs) in adults are believed to be born from hemogenic endothelial cells (HECs) in mid-gestational mouse embryos. Due to rare and transient nature, the HSC-competent ECs have never been stringently identified and accurately captured, let alone their genuine vasculature precursors. Here, we firstly used high-precision single-cell transcriptomics to unbiasedly examine relevant EC populations at continuous developmental stages and transcriptomically identified putative HSC-primed HECs. Combining computational prediction and in vivo functional validation, we precisely captured HSC-competent HECs by newly constructed Neurl3-EGFP reporter mouse model, and realized enrichment further by surface marker combination. Surprisingly, endothelial-haematopoietic bi-potential was rarely but reliably witnessed in culture of single HECs. Noteworthy, primitive vascular ECs experienced two-step fate choices to become HSC-primed HECs, resolving several previously observed contradictions. Taken together, comprehensive understanding of endothelial evolutions and molecular programs underlying HSC-primed HEC specification in vivo will facilitate future investigations directing HSC production in vitro.

developmental biology↗

bioRxiv2019

Dscam homophilic specificity is generated by high order cis-multimers coupled with trans self-binding of variable Ig1 in Chelicerata

By alternative splicing, Drosophila Down syndrome cell adhesion molecule (Dscam1) encodes tens of thousands of proteins required for establishing neural circuits, while Chelicerata encodes a family of [~] 100 shortened Dscam (sDscam) isoforms via alternative promoters. We report that Dscam isoforms interact promiscuously in cis to generate a vast repertoire of combinatorial homophilic recognition specificities in Chelicerata. Specifically, sDscams formed high order cis-multimers without isoform specificity involving the membrane-proximal fibronectin type III (FNIII) 1-3 and transmembrane (TM) domains and associated specifically in trans via antiparallel self-binding of the first variable immunoglobulin (Ig1) domain. We propose that such sDscam combinatorial homophilic specificity is sufficient to provide each neuron with a unique identity for self-non-self discrimination. In many respects, our results amazingly mirror those reported for the structurally unrelated vertebrate protocadherins (Pcdh) rather than for the closely related fly Dscam1. Thus, our findings blur the distinction between the neuronal self-avoidance of invertebrates and vertebrates and provide insight into the basic principles and evolution of metazoan self-avoidance and self-non-self discrimination.

biochemistry↗

bioRxiv2019

Glutamate-ammonia ligase promotes lung cancer cell growth through an enzyme independent upregulation of CaMK2G under a glutamine-sufficient condition

Glutamate-ammonia ligase (GLUL) is highly expressed in many cancer cells. Synthesizing glutamine by its enzyme function has been found to be important for supporting cancer cell survival and growth under glutamine restriction. However, GLULs functions under a glutamine-sufficient condition still have not been uncovered. Here we find that GLUL is highly expressed in lung cancer cells and provides survival and growth advantages under both glutamine restriction and adequacy conditions. Knocking down GLUL can block lung cancer cell growth in an enzyme-independent way when glutamine is sufficient. Mechanistically, GLUL regulates Calcium/Calmodulin Dependent Protein Kinase II Gamma (CaMK2G) expression at the transcription level, and CaMK2G is a major mediator in controlling cell growth under GLUL. The transcriptional regulation of CaMK2G is partially mediated by SMAD4. Our data unveil a new enzyme-independent function of GLUL in lung cancer cells under a glutamine-sufficient condition.

cancer biology↗

bioRxiv2019

Benchmarking metagenomic marine microbial growth prediction from codon usage bias and peak-to-trough ratios

Growth rates are fundamental to all organisms and essential for characterizing microbial ecologies. Despite this, we do not know the instantaneous nor maximum growth rates of most naturally-occurring microorganisms. Recent reports indicate DNA replication rates can be estimated from metagenomic coverage, and maximum growth rates can be estimated from genomic characteristics. We tested these approaches with native marine bacteria (<0.6 um size fraction) as 10% inoculum grown in unamended virus-free seawater from the San Pedro Channel, California. This allowed microbial growth without grazing and with greatly reduced viral infection. At multiple time points up to 48 h, we sampled for cell abundances and metagenomic analyses. We generated 101 unique Metagenome-assembled genomes (MAGs) including , {beta}, and {gamma} Proteobacteria, Flavobacteria, Actinobacteria, Verrucomicrobia, Marine Group A/SAR406, MGII archaea, and others. We tracked the growth of each as the fraction of total metagenomic reads mapped to each MAG normalized with length, completeness, and total cell counts. Some MAGs did not grow appreciably, but those we could estimate had growth rates ranging from 0.08 to 5.99 d-1; these are the first reported growth rates for several of the groups. These metagenome-determined growth rates, which often changed within experiments, were compared to (a) DNA replication estimates from the peak-to-trough ratio (PTR) as determined by three different approaches, and (b) maximum growth rates predicted from codon usage bias (CUB). For the large majority of taxa, observed growth rates were not correlated to PTR indices (r ~ -0.26 - 0.08), with exceptions being rapidly growing Oceanospirillales and Saccharospirillaceae (r ~ 0.63 - 0.92). However, CUB was moderately well correlated to observed maximum growth rates (r = 0.57). This suggests that maximum growth rates can be reasonably well-estimated from genomic information alone, but current PTR approaches poorly predict actual growth of most marine planktonic bacteria in unamended seawater.

microbiology↗