Biology subjects

Yu, L.

Publications and source records attributed to Yu, L..

At least 235 records · Page 13Linked to original sources

bioRxiv2022

Modeling of Aryl Hydrocarbon Receptor Pathway Intrinsic Immunometabolic Role using Glioblastoma Stem Cells and Patient-Derived Organoids

The intrinsic genetic program of glioblastoma (GBM) stem cells is critical for tumor evolution and recurrence. We recently identified intrinsic phenotypes and immune-like genetic programs of GBM organoids (GBMO)1 from patient derived glioblastoma stem cells (GSCs), replicating genomic, metabolic, and cellular aspects of GBM in vivo. Aryl hydrocarbon receptor (AHR), a ligand-activated transcription factor, is a key regulator of infiltrating immune cells in gliomas2, 3 and associated with poor prognosis, but its role in GSC biology is unknown2. Here, we show that AHR is a patient-specific regulator of the glioma intrinsic gene program in GSCs and GSC-derived GBMO that are enriched for AHR. We find that AHR is required for GSC self-renewal, GBMO expansion, radial glia-like cell proliferation, and expression of immune mediators seen in the mesenchymal subtype. CRISPR-Cas9 genetic ablation and pharmacological inhibition revealed that AHR regulates genes linked to intrinsic immunity, proliferation, and migration in GBMO. Genomic analysis of GBMO treated with AHR inhibitors identified expression signatures and candidate markers associated with survival of gliomas. Our work defines the glioma intrinsic function of AHR in a model of early GBM formation, offering a rationale for clinical exploration of a potential two-hit target of both GBM cells and infiltrating immune cells in patients with GBM expressing high levels of AHR.

cancer biology↗

bioRxiv2022

Endogenous IL-10 Contributes to Wound Healing and Regulates Tissue Repair

BackgroundInterleukin-10 (IL-10) is essential in fetal regenerative wound healing and likewise promotes a regenerative phenotype in adult dermal wounds. However, the role of endogenous IL-10 in postnatal dermal wound healing is not well established. We sought to determine the role of IL-10 in murine full thickness, excisional wounds that are splinted to prevent contracture and mimic human patterns of wound closure. MethodsFull thickness, excisional wounds were made in wildtype (WT) and IL-10-/- mice on a C57BL/6J background (F/M, 8wks old). In a subset of wounds, contraction was prevented by splinting with silicone stents (stenting) and maintaining a moist wound microenvironment using a semi-occlusive dressing. Wounds were examined for re-epithelialization, granulation tissue deposition, and inflammatory cell infiltrate at day 7 and fibrosis and scarring at day 30 post-wounding. ResultsWe observed no difference in wound healing rate between WT and IL-10-/- mice in either the stented or unstented group. At day 7, unstented IL-10-/- wounds had a larger granulation tissue area and more inflammatory infiltrate than their WT counterparts. However, we did observe more F4/80+ cell infiltrate in stented IL-10-/- wounds at day 7. At day 30, stented wounds had increased scar area and epithelial thickness compared to unstented wounds. ConclusionsThese data suggest that endogenous IL-10 expression does not alter closure of full thickness excisional wounds when wound hydration and excessive contraction are controlled. However, the loss of IL-10 leads to increased inflammatory cell infiltration and scarring. These data suggest that previous reports of increased rates of healing in IL-10-/- mice ought to be revisited considering recent advances in wound healing models. Moreover, these new findings suggest that IL-10 contributes to regulation of inflammation without compromising the healing response.

molecular biology↗

bioRxiv2022

Temporal and spatial dynamics mapping reveals follicle development regulated by different stromal cell populations

Follicle development is a complex dynamic process. The follicles are encapsulated in the stroma, and once the follicle develops, the follicle moves from the cortex to the medulla and finally to the cortex to ovulate in the process of continuous growth. Many of these processes cannot be explained with the follicle alone. Through single-cell and spatial transcriptome sequencing at key time points of follicular development in mice after birth, we found that ovarian stromal cells are not only one of the main cell groups that make up the ovary but that their cell population and spatial location are also closely related to follicular development. Through analysis of cell communication, it was found that ovarian stromal cells were the main transmitters of intercellular communication, and many of the signals they sent were received by granulosa cells and oocytes to participate in follicle development. Ovarian stromal cells are not a homogeneous cell population. We combined single cell types with their spatial location information to divide ovarian stromal cells into four types, namely, structural stromal cells, perifollicular stromal cells, stromal progenitor cells, and steroidogenic stromal cells, each of which plays a different function in follicle development. Indepth studies of the different spatial locations and different types of stromal cells will expand our understanding of follicle development dynamics, leading to new targets and novel approaches for the treatment of ovarian-related diseases.

developmental biology↗

bioRxiv2022

Using "identity by heterozygosity (IBH)" to detect clonemates under prevalent clonal reproduction in multicellular diploids

Clonal reproduction, the formation of new individuals that are genetically nearly identical to the parent via mitosis in the absence of genetic recombination, is a very common reproductive mode across plants, fungi, and animals. Current genetic marker based methods fail to detect clonal structure when all collected samples belong to one single clone, which seems to be more common than previously thought. Here we propose a new similarity index, "Shared Heterozygosity (SH)" based on the number of genetic markers (typically SNPs, single-nucleotide polymorphisms) that are identically heterozygous among two or more genomes (i.e., NSH). Ideally NSH should be on the order of approximately >=3,000, which can be easily achieved nowadays via Restriction-site Associated DNA (RAD) sequencing or whole-genome resequencing. One should be careful when NSH is small (roughly <1,000). We analyze two large seagrass clones (Posidonia australis, Zostera marina) along with two Z. marina clones of known age (17-yrs), and show that SH can potentially extend the detection of clonemates to any pair of samples with the aid of technical replicates. Another potential application of SH is to detect possible parent-descendant pairs under selfing, because the heterozygous loci in the selfing-produced descendants represent a subset of those in the parent. Our proposed workflow takes advantage of the availability of the larger number of genetic markers in the genomic era, and fills a gap in detecting clonemates in the growing number of cases where many or all samples at a location belong to one single clone.

evolutionary biology↗

bioRxiv2022

Comprehensive Epitope Mapping of Broad Sarbecovirus Neutralizing Antibodies

Omicron sub-lineage BA.2 has rapidly surged globally, accounting for over 60% of recent SARS-CoV-2 infections. Newly acquired RBD mutations and high transmission advantage over BA.1 urge the investigation of BA.2s immune evasion capability. Here, we show that BA.2 causes strong neutralization resistance, comparable to BA.1, in vaccinated individuals plasma. However, BA.2 displays more severe antibody evasion in BA.1 convalescents, and most prominently, in vaccinated SARS convalescents plasma, suggesting a substantial antigenicity difference between BA.2 and BA.1. To specify, we determined the escaping mutation profiles1,2 of 714 SARS-CoV-2 RBD neutralizing antibodies, including 241 broad sarbecovirus neutralizing antibodies isolated from SARS convalescents, and measured their neutralization efficacy against BA.1, BA.1.1, BA.2. Importantly, BA.2 specifically induces large-scale escape of BA.1/BA.1.1-effective broad sarbecovirus neutralizing antibodies via novel mutations T376A, D405N, and R408S. These sites were highly conserved across sarbecoviruses, suggesting that Omicron BA.2 arose from immune pressure selection instead of zoonotic spillover. Moreover, BA.2 reduces the efficacy of S309 (Sotrovimab)3,4 and broad sarbecovirus neutralizing antibodies targeting the similar epitope region, including BD55-5840. Structural comparisons of BD55-5840 in complexes with BA.1 and BA.2 spike suggest that BA.2 could hinder antibody binding through S371F-induced N343-glycan displacement. Intriguingly, the absence of G446S mutation in BA.2 enabled a proportion of 440-449 linear epitope targeting antibodies to retain neutralizing efficacy, including COV2-2130 (Cilgavimab)5. Together, we showed that BA.2 exhibits distinct antigenicity compared to BA.1 and provided a comprehensive profile of SARS-CoV-2 antibody escaping mutations. Our study offers critical insights into the humoral immune evading mechanism of current and future variants.

immunology↗

bioRxiv2022

Transcription factor determines the sources of extracellular vesicle DNA

Extracellular vesicle DNAs (evDNAs) possess the important diagnostic value for multiple diseases and play roles for horizontally transferring genetic materials among cells. In this study, we have found that transcription factor FOXM1 can mediate the loading of certain chromatin genes or DNA fragments (named FOXM1-chDNAs) to extracellular vesicles (EVs). FOXM1 interacts with LC3 in nucleus and FOXM1-chDNAs (such as DUX4 gene and Telomere DNA) are specified by FOXM1 and translocated to cytoplasm. These DNAs are released to EVs through the process of an LC3-involved autophagosome-multivesicular body (MVB) transport. The roles of FOXM1 on loading FOXM1-chDNAs to EVs are further confirmed by DNA-FISH experiments, tracing the translocation of selected chromatin loci with the TetO/TetR-GFP method, and PCR analysis of the DNA samples from MVBs and EVs. Furthermore, disrupting the expression of FOXM1 or the process of autophagosome-MVB transport impairs the loading of FOXM1-chDNAs to EVs. This discovery suggests that transcription factor FOXM1 contributes the constitution of evDNAs from nuclear chromatin, providing the first example to explain how chromatin DNA fragments are specified and loaded to EVs. It also provide a foundation to further explore the roles of evDNAs in biological processes such as the horizontal gene transfer.

cell biology↗

bioRxiv2022

Framework for Denoising Monte Carlo Photon Transport Simulations Using Deep Learning

SignificanceThe Monte Carlo (MC) method is widely used as the gold-standard for modeling light propagation inside turbid media like human tissues, but combating its inherent stochastic noise requires one to simulate large number photons, resulting in high computational burdens. AimWe aim to develop an effective image denoising technique using deep learning (DL) to dramatically improve low-photon MC simulation result quality, equivalently bringing further acceleration to the MC method. ApproachWe have developed a cascade-network combining DnCNN with UNet, in the meantime, extended a range of established image denoising neural-network architectures, including DnCNN, UNet, DRUNet, and ResMCNet, in handling three-dimensional (3-D) MC data and compared their performances against model-based denoising algorithms. We have also developed a simple yet effective approach to create synthetic datasets that can be used to train DL based MC denoisers. ResultsOverall, DL based image denoising algorithms exhibit significantly higher image quality improvements over traditional model-based denoising algorithms. Among the tested DL denoisiers, our Cascade network yields a 14 - 19 dB improvement in signal-noise ratio (SNR), which is equivalent to simulating 25 x to 78 x more photons. Other DL-based methods yielded similar results, with our method performing noticeably better with low-photon inputs, and ResMCNet along with DRUNet performing better with high-photon inputs. Our Cascade network achieved the highest quality when denoising complex domains, including brain and mouse atlases. ConclusionIncorporating state-of-the-art DL denoising techniques can equivalently reduce the computation time of MC simulations by one to two orders of magnitude. Our open-source MC denoising codes and data can be freely accessed at http://mcx.space/.

biophysics↗

bioRxiv2022

SERM: a self-consistent deep learning solution forrapid and accurate gene expression recovery

Single cell RNA sequencing (scRNA-seq) is a promising technique to determine the states of individual cells and classify novel cell subtypes. Computationally, the processing of scRNA-seq data presents a daunting challenge because of the noisy nature and humongous size and dimensionality of the data. Compromised solution by omitting the genes with low expression is commonly taken in current scRNA-seq analysis, which leads to inaccurate gene counts. In this paper, we introduce a broadly applicable data-driven gene expression recovery framework, referred to as the self-consistent expression recovery machine (SERM), to impute the missing gene expression. Using deep learning, SERM first learns from a subset of the noisy gene expression data to estimate the underlying data distribution. SERM then recovers the overall gene expression data by imposing a self-consistency on the gene expression matrix, thus ensuring that the expression levels are similarly distributed in different parts of the matrix. We show that SERM significantly improves the accuracy of gene imputation with at least 100-fold increase in computational efficiency in comparison to the state-of-the-art techniques. Thus SERM promises to provide an urgently needed computational solution for rapid and accurate recovery of big genomic expression data. SERM is available as a web-based computational tool (https://www.analyxus.com/compute/serm) and its source codes can be found in https://github.com/xinglab-ai/self-consistent-expression-recovery-machine.

bioinformatics↗

bioRxiv2022

Spatially resolved single-cell deconvolution of bulk RNA-seq using Bulk2Space

Uncovering the tissue molecular architecture at single-cell resolution could help better understand organisms biological and pathological processes. However, bulk RNA-seq can only measure gene expression in cell mixtures, without revealing the transcriptional heterogeneity and spatial patterns of single cells. Herein, we introduce Bulk2Space (https://github.com/ZJUFanLab/bulk2space), a deep learning framework-based spatial deconvolution algorithm that can simultaneously disclose the spatial and cellular heterogeneity of bulk RNA-seq data using existing single-cell and spatial transcriptomics references. The use of bulk transcriptomics to validate Bulk2Space unveils, in particular, the spatial variance of immune cells in different tumor regions, the molecular and spatial heterogeneity of tissues during inflammation-induced tumorigenesis, and spatial patterns of novel genes in different cell types. Moreover, Bulk2Space is utilized to perform spatial deconvolution analysis on bulk transcriptome data from two different mouse brain regions derived from our in-house developed sequencing approach termed Spatial-seq. We have not only reconstructed the hierarchical structure of the mouse isocortex but also further annotated cell types that were not identified by original methods in the mouse hypothalamus.

bioinformatics↗

bioRxiv2022

Mucociliary Transport Deficiency and Disease Progression in Syrian Hamsters with SARS-CoV-2 Infection

Substantial clinical evidence supports the notion that ciliary function in the airways plays an important role in COVID-19 pathogenesis. Although ciliary damage has been observed in both in vitro and in vivo models, consequent impaired mucociliary transport (MCT) remains unknown for the intact MCT apparatus from an in vivo model of disease. Using golden Syrian hamsters, a common animal model that recapitulates human COVID-19, we quantitatively followed the time course of physiological, virological, and pathological changes upon SARS-CoV-2 infection, as well as the deficiency of the MCT apparatus using micro-optical coherence tomography, a novel method to visualize and simultaneously quantitate multiple aspects of the functional microanatomy of intact airways. Corresponding to progressive weight loss up to 7 days post-infection (dpi), viral detection and histopathological analysis in both the trachea and lung revealed steadily descending infection from the upper airways, as the main target of viral invasion, to lower airways and parenchymal lung, which are likely injured through indirect mechanisms. SARS-CoV-2 infection caused a 67% decrease in MCT rate as early as 2 dpi, largely due to diminished motile ciliation coverage, but not airway surface liquid depth, periciliary liquid depth, or cilia beat frequency of residual motile cilia. Further analysis indicated that the fewer motile cilia combined with abnormal ciliary motion of residual cilia contributed to the delayed MCT. The time course of physiological, virological, and pathological progression suggest that functional deficits of the MCT apparatus predispose to COVID-19 pathogenesis by extending viral retention and may be a risk factor for secondary infection. As a consequence, therapies directed towards the MCT apparatus deserve further investigation as a treatment modality.

microbiology↗

bioRxiv2022

Structural Insights into Sphingosine-1-phosphate Receptor Activation

As a critical sphingolipid metabolite, sphingosine-1-phosphate (S1P) plays an essential role in immune and vascular systems. There are five S1P receptors, designated as S1PR1-5, encoded in the human genome, and their activities are governed by endogenous S1P, lipid-like S1P mimics, or non-lipid-like therapeutic molecules. Among S1PRs, S1PR1 stands out due to its non-redundant functions, such as the egress of T and B cells from the thymus and secondary lymphoid tissues, making it a potential therapeutic target. However, the structural basis of S1PR1 activation and regulation by various agonists remains unclear. Here we reported four atomic resolution cryo-EM structures of Gi-coupled human S1PR1 complexes: bound to endogenous agonist d18:1 S1P, benchmark lipid-like S1P mimic phosphorylated Fingolimod ((S)-FTY720-P), or non-lipid-like therapeutic molecule CBP-307 in two binding modes. Our results revealed the similarities and differences of activation of S1PR1 through distinct ligands binding to the amphiphilic orthosteric pocket. We also proposed a two-step "shallow to deep" transition process of CBP-307 for S1PR1 activation. Both binding modes of CBP-307 could activate S1PR1, but from shallow to deep transition may trigger the rotation of the N-terminal helix of Gi and further stabilize the complex by increasing the Gi interaction with the cell membrane. We combine with extensive biochemical analysis and molecular dynamic simulations to suggest key steps of S1P binding and receptor activation. The above results decipher the common feature of the S1PR1 agonist recognition and activation mechanism and will firmly promote the development of therapeutics targeting S1P receptors.

biochemistry↗

bioRxiv2022

Exploring high-resolution cryo-ET and subtomogram averaging capabilities of contemporary DEDs

The potential of energy filtering and direct electron detection for cryo-electron microscopy (cryo-EM) image processing has been well documented for single particle analysis (SPA). Here, we assess the performance of recently introduced hardware for cryo-electron tomography (cryo-ET) and subtomogram averaging (STA), an increasingly popular structural determination method for complex 3D specimens. We acquired cryo-ET datasets of EIAV virus-like particles (VLPs) on two contemporary cryo-EM systems equipped with different energy filters and direct electron detectors (DED), specifically a Krios G4, equipped with a cold field emission gun (CFEG), Thermo Fisher Scientific Selectris X energy filter, and a Falcon 4 DED; and a Krios G3i, with a Schottky field emission gun (XFEG), a Gatan Bioquantum energy filter, and a K3 DED. We performed constrained cross-correlation-based STA on equally sized datasets acquired on the respective systems. The resulting EIAV CA hexamer reconstructions show that both systems perform comparably in the 4-6 [A] resolution range. In addition, by employing a recently introduced multiparticle refinement approach, we obtained a reconstruction of the EIAV CA hexamer at 2.9 [A]. Our results demonstrate the potential of the new generation of energy filters and DEDs for STA, and the effects of using different processing pipelines on their STA outcomes.

molecular biology↗

bioRxiv2021

Distributed Feedforward and Feedback Processing across Perisylvian Cortex Supports Human Speech

Speech production is a complex human function requiring continuous feedforward commands together with reafferent feedback processing. These processes are carried out by distinct frontal and posterior cortical networks, but the degree and timing of their recruitment and dynamics remain unknown. We present a novel deep learning architecture that translates neural signals recorded directly from cortex to an interpretable representational space that can reconstruct speech. We leverage state-of-the-art learnt decoding networks to disentangle feedforward vs. feedback processing. Unlike prevailing models, we find a mixed cortical architecture in which frontal and temporal networks each process both feedforward and feedback information in tandem. We elucidate the timing of feedforward and feedback related processing by quantifying the derived receptive fields. Our approach provides evidence for a surprisingly mixed cortical architecture of speech circuitry together with decoding advances that have important implications for neural prosthetics.

neuroscience↗

bioRxiv2021

Direct regulation of cell cycle regulatory gene expression by NtrX to promote Sinorhizobium meliloti cell division

Cell division of the alfalfa symbiont, Sinorhizobium meliloti, is regulated by the CtrA signaling network. The gene expression of regulatory proteins in the network is affected by nutrient signaling. In this study, we found that NtrX, one of the regulators of nitrogen metabolic response, can directly regulate the expression of several regulatory genes from the CtrA signaling network. Three sets of S. meliloti ntrX mutants, including the plasmid insertion strain, the depletion strain and the substitution of the 53rd aspartate (ntrXD53E) from a plasmid in the wild-type strain (Sm1021), showed similar cell division defects, such as slow growth, abnormal morphology of partial cells and delayed DNA synthesis. Transcript quantitative evaluation indicated that the transcription of genes such as ctrA and gcrA was up-regulated, while the transcription of genes such as dnaA and ftsZl was down-regulated in the insertion mutant and the strain of Sm1021 expressing ntrXD53E. Correspondingly, inducible transcription of ntrX activates the expression of dnaA and ftsZ1, but represses ctrA and gcrA in the depletion strain. The expression levels of CtrA and GcrA were confirmed by western blotting, which were consistent with the transcription data. The transcriptional regulation of these genes requires phosphorylation of the conserved 53rd aspartate in the NtrX protein. The NtrX protein binds directly to the promoter regions of ctrA, gcrA, dnaA and ftsZ1 by recognizing the characteristic sequence CAAN2-5TTG Our findings reveal that NtrX is a novel transcriptional regulator of the CtrA signaling pathway genes, and positively affects bacterial cell division, associated with nitrogen metabolism. IMPORTANCESinorhizobium meliloti infects the host alfalfa and induces formation of nitrogen-fixing nodules. Proliferation of rhizobia in plant tissues and cells is strictly controlled in the early stage of symbiotic interactions. However, the control mechanism is not very clear. Cell division of S. meliloti in the free-living state is regulated by the CtrA signaling network, but molecular mechanisms by which the CtrA system is associated with environmental nutrient signals (e.g., ammonia nitrogen) need to be further explored. This study demonstrates that NtrX, a regulator of nitrogen metabolism, required for symbiotic nodulation and nitrogen fixation by S. meliloti 1021, can act as a transcriptional regulator of the CtrA signaling system. It may link nitrogen signaling to cell cycle regulation in Rhizobium species.

microbiology↗

bioRxiv2021

Diversity, function and evolution of aquatic vertebrate genomes

Aquatic vertebrates consist of jawed fish (cartilaginous fish and bony fish), aquatic mammals, reptiles and amphibians. Here, we present a comprehensive analysis of 630 aquatic vertebrate genomes to generate a standardized compendium of genomic data. We demonstrate its value by assessing their genome features as well as illuminating gene families related to the transition from water to land, such as Hox genes and olfactory receptor genes. We found that LINEs are the major transposable element (TE) type in cartilaginous fish and aquatic mammals, while DNA transposons are the dominate type in bony fish. To our surprise, TE types are not fixed in amphibians, the first group that transitioned to living on land. These results illustrate the value of a unified resource for comparative genomic analyses of aquatic vertebrates. Our data and strategy are likely to support all evolutionary and ecological research on vertebrates.

genomics↗

bioRxiv2021

Unidirectional Single-File Transport of Full-Length Proteins Through a Nanopore

Nanopore sensors could revolutionize single-molecule proteomics by providing a means for identification of known proteins through fingerprinting or by de novo sequencing. However, the complex chemical and physical properties of proteins present multiple challenges to the conventional nanopore sensing method, predominantly, the single-file threading of a protein chain into a nanopore and its transport through it. Herein we describe a general approach for realizing unidirectional transport of full-length proteins through nanopores. We show that the combination of a chemically resistant biological nanopore platform and a high concentration guanidinium chloride buffer enables protein unfolding and unidirectional transport through a pore, propelled by an electroosmotic effect that largely owes to the guanidinium chloride presence. The uniform and slow (~10 {micro}s/amino acid) single-file transport, when combined with supervised machine learning of the electrical current signatures obtained, allows us to use to discern the protein threading orientation and identity. In conjunction with a method for tail-modification of native proteins and higher-resolution nanopores, our approach could offer a path towards direct single-molecule protein fingerprinting without the requirement of a motor enzyme.

biophysics↗

bioRxiv2021

Control of subunit stoichiometry in single-chain MspA nanopores

Transmembrane protein channels enable fast and highly sensitive electrical detection of single molecules. Nanopore sequencing of DNA was achieved using an engineered Mycobacterium smegmatis porin A (MspA) in combination with a motor enzyme. Due to its favorable channel geometry, the octameric MspA pore exhibits the highest current level as compared to other pore proteins. To date, MspA is the only protein nanopore with a published record of DNA sequencing. While widely used in commercial devices, nanopore sequencing of DNA suffers from significant base-calling errors due to stochastic events of the complex DNA-motor-pore combination and the contribution of up to five nucleotides to the signal at each position. Asymmetric mutations within subunits of the channel protein offer an enormous potential to improve nucleotide resolution and sequencing accuracy. However, random subunit assembly does not allow control of the channel composition of MspA and other oligomeric protein pores. In this study, we showed that it is feasible to convert octameric MspA into a single-chain pore by connecting eight subunits using peptide linkers. We constructed single-chain MspA trimers, pentamers, hexamers and heptamers to demonstrate that it is feasible to alter the subunit stoichiometry and the MspA pore diameter. All single-chain MspA proteins formed functional channels in lipid bilayer experiments. Importantly, we demonstrated that single-chain MspA discriminated all four nucleotides identical to MspA produced from monomers. Thus, single-chain MspA constitutes a new milestone in its development and adaptation as a biosensor for DNA sequencing and many other applications. STATEMENT OF SIGNFICANCENanopore sequencing of DNA is a fast and cheap technology that uniquely delivers multi-kilobase reads. It is currently used world-wide in many applications such as genome sequencing, epigenetics, and surveillance of viral and bacterial pathogens and has started to revolutionize human lives in medicine, agriculture and environmental studies. However, the high base-calling error rates prevent nanopore DNA sequencing from reaching its full potential. In this study, we converted octameric MspA into a single-chain pore enabling asymmetric mutations to fine-tune the pore geometry and chemistry and address the shortcomings of nanopores. Thus, single-chain MspA constitutes a new milestone in its development and adaptation as a biosensor for DNA sequencing and many other applications.

biophysics↗

bioRxiv2021

Human papillomavirus type 16 circular RNA is barely detectable for the claimed transformation activity

The human papillomavirus type 16 (HPV16) E7 oncoprotein plays an essential role in cervical carcinogenesis and is encoded predominantly by a viral E6*I mRNA through alternative RNA splicing of a p97 promoter-transcribed bicistronic E6E7 pre-mRNA. Recently, Zhao et al. detected the HPV16 circular RNA circE7, which is generated aberrantly through backsplicing of the E6E7 pre-mRNA from two HPV16-positive cervical cancer cell lines, CaSki and SiHa. Based on their findings that HPV16 E7 was translated from circE7 and knockdown of circE7 in CaSki cells led to reduction of E7 oncoprotein, cell proliferation, and xenograft tumor formation, the authors claimed that circE7 is functionally important in cell transformation. We believe, however, that the reported circE7 function is overstated. We found that circE7 in CaSki cells is only 0.4 copy per cell and determine that the claimed circE7 function in the published report was resulted from off-targeting viral E7 linear mRNAs by their circE7 small interfering RNAs.

cancer biology↗