Biology subjects

Yin, P.

Publications and source records attributed to Yin, P..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

A parallelly distributed microscope and software system for scalable high-throughput multispectral 3D imaging

Recent advances in high throughput optical microscopy have achieved whole-organism scale imaging at diffraction-limited resolutions. Current microscopes, however, require making compromises between achieving the optimal resolution, imaging depth, multispectral capability, and data throughput due to limitations in optical design and data stream handling. We have created a parallel-line scanning confocal microscope (plSCM) which provides 1.1 Gigavoxels/second high speed imaging while achieving an optical resolution of [~]180 x 220 x 650 nm with 2 millimeters of imaging depth in 3 simultaneous spectral channels. To handle such a massive imaging data stream, we have engineered a scalable network-distributed image acquisition/processing framework (SNDiF), which allows continuous capture, real-time processing, and cluster storage of petabyte-scale single image datasets in days. Together, our parallelly distributed microscope and software system presents a general solution for large-scale high-throughput and high-resolution multicolor imaging which can operate for days at a time.

bioengineering↗

bioRxiv2025

Ex vivo recapitulation of intramuscular mRNA vaccination with naive and recall antigens using a human Lymphoid Follicle Chip platform

Predicting the efficacy and toxicity of intramuscular mRNA vaccines remains challenging. Here, we describe an ex vivo human cell-based model that replicates immune responses to lipid nanoparticle (LNP)-based mRNA vaccines that require intramuscular injection. Vaccines are administered into a biomimetic muscle module containing human skeletal myoblasts and antigen-presenting cells (APCs) to mimic intramuscular vaccination, followed by transfer of the APCs and soluble factors to a microfluidic human lymphoid follicle chip (LF Chip) to mimic lymphatic drainage. Non-replicating mRNA vaccines directly induce antigen expression in APCs, whereas self-amplifying mRNA vaccines require muscle cell-APC contact within the intramuscular vaccination module. Transfer of APCs and soluble factors to the LF Chip induces LF expansion, de novo antigen-specific IgG production against a naive antigen (rabies virus glycoprotein), and cytokine release, with responses varying depending on LNP type. Vaccination of LF chips against SARS- COV-2 Spike recall antigen using the Moderna Spikevax vaccine generates neutralizing antibodies and induces somatic hypermutation. This biomimetic platform offers an all-human alternative for evaluating vaccine-induced immunity, potentially obviating the need for non-human primates and accelerating vaccine development.

immunology↗

bioRxiv2025

Multimodal brain cell atlas across the adult macaque lifespan

High-throughput single-cell omics of non-human primate tissues present a remarkable opportunity to study primate brain aging. Here, we introduce a transcriptomic and chromatin accessibility landscape of 1,985,317 cells from eight brain regions of 13 cynomolgus female monkeys spanning adult lifespan including exceptionally old individuals up to 29-years old. This dataset uncovers dynamic molecular changes in critical brain functions such as synaptic communication and axon myelination, exhibiting a high degree of cell type and brain region specificity. We identify the multicellular networks of the pons and medulla as a previously unrecognized hotspot for aging. Furthermore, comparative analyses with human neurodegeneration datasets highlight both shared and distinct mechanisms contributing to aging and disease. In addition, we uncover transcription factors implicated in monkey brain aging and pinpoint aging-regulated loci linked to longevity and neurodegeneration. This spatiotemporal atlas will advance our understanding of primate brain aging and its broader implications for health and disease.

neuroscience↗

bioRxiv2024

Temporal Coherence Shapes Cortical Responses to Speech Mixtures in a Ferret Cocktail Party

Segregation of complex sounds such as speech, music and animal vocalizations as they simultaneously emanate from multiple sources (referred to as the "cocktail party problem") is a remarkable ability that is common in humans and animals alike. The neural underpinnings of this process have been extensively studied behaviorally and physiologically in non-human animals primarily with simplified sounds (tones and noise sequences). In humans, segregation experiments utilizing more complex speech mixtures are common; but physiological experiments have relied on EEG/MEG/ECoG recordings that sample activity from thousands of neurons, often obscuring the detailed processes that give rise to the observed segregation. The present study combines the insights from animal single-unit physiology with segregation of speech-like mixtures. Ferrets were trained to attend to a female voice and detect a target word, both in presence or absence of a concurrent, equally salient male voice. Single neuron recordings were obtained from primary and secondary ferret auditory cortical fields, as well as frontal cortex. During task performance, representation of the female words became more enhanced relative to those of the (distractor) male in all cortical regions, especially in the higher auditory cortical field. Analysis of the temporal and spectral response characteristics during task performance reveals how speech segregation gradually emerges in the auditory cortex. A computational model evaluated on the same voice mixtures replicates and extends these results to different attentional targets (attention to female or male voices). These findings are consistent with the temporal coherence theory whereby attention to a target voice anchors neural activity in cortical networks hence binding together channels that are coherently temporally-modulated with the target, and ultimately forming a common auditory stream.

neuroscience↗

bioRxiv2024

Cryosectioning-enabled super-resolution microscopy for studying nuclear architecture at the single protein level

DNA-PAINT enables nanoscale imaging with virtually unlimited multiplexing and molecular counting. Here, we address challenges, such as variable imaging performance and target accessibility, that can limit its broader applicability. Specifically, we enhance its capacity for robust single-protein imaging and molecular counting by optimizing the integration of TIRF microscopy with physical sectioning, in particular, Tokuyasu cryosectioning. Our method, tomographic & kinetically enhanced DNA-PAINT (tkPAINT), achieves 3 nm localization precision across diverse samples, enhanced imager binding, and improved cellular integrity. tkPAINT can facilitate molecular counting with DNA-PAINT inside the nucleus, as demonstrated through its quantification of the in situ abundance of RNA Polymerase II in both HeLa cells as well as mouse tissues. Anticipating that tkPAINT could become a versatile tool for the exploration of biomolecular organization and interactions across cells and tissues, we also demonstrate its capacity to support multiplexing, multimodal targeting of proteins and nucleic acids, and 3D imaging.

cell biology↗

bioRxiv2024

Deciphering the molecular mechanism of DNA-protein interactive co-condensates

Nucleic acid and protein co-condensates exhibit diverse morphologies crucial for fundamental cellular processes. Despite their significance, the molecular mechanisms governing morphology transitions remain poorly understood. To address this gap in knowledge, we investigated DNA and the human transcription factor p53 as a model system, specifically focusing on DNA-protein interactive co-condensates (DPICs)--a scenario where neither dsDNA nor the protein demonstrates phase-separation behavior individually. Through a combination of experimental assays and theoretical approaches, we elucidated: (i) the phase diagram of DPICs, identifying two distinct transition phenomena--a phase transition between viscoelastic fluid and viscoelastic solid states, and a morphology transition from droplet-like to "pearl chain"-like DPICs; (ii) the growth dynamics of DPICs. Droplet-like and "pearl chain"-like DPICs, although with dramatically distinct final morphologies and material properties, share a common initial critical microscopic cluster (CMC) size at the nanometer scale during the early stage of phase separation. These findings provide novel insights into the biophysical mechanisms underlying multi-component phase separations within cellular environments. Significance StatementNucleic acids and proteins have the capacity to form co-condensates, exhibiting various morphologies, including droplet-like and "pearl chains" formations. Despite this observation, the underlying biophysical mechanisms remain poorly understood. In this study, we employed DNA and the protein p53 as a model system. Our investigation revealed that the strength of the DNA-p53 interactions dictates the material properties of the co-condensates, leading to a transition from a viscoelastic fluid to a viscoelastic solid phase. This transition is accompanied by a morphological shift from droplet-like formations to structures resembling "pearl chains". Additionally, we explored the growth dynamics of these co-condensates and demonstrated that the strength of p53-DNA interactions influences the relaxation time of the co-condensates, thereby potentially determining their morphological features.

biophysics↗

bioRxiv2023

A seven-sex species recognizes self and non-self mating-type via a novel protein complex

Although most species have two sexes, multisexual (or multi-mating type) species are also widespread. However, it is unclear how mating-type recognition is achieved at the molecular level in multisexual species. The unicellular ciliate Tetrahymena thermophila has seven mating types, which are determined by the MTA and MTB proteins. In this study, we found that both proteins are essential for cells to send or receive complete mating-type information, and transmission of the mating-type signal requires both proteins to be expressed in the same cell. We found that MTA and MTB form a mating-type recognition complex that localizes to the plasma membrane, but not to the cilia. Stimulation experiments showed that the mating-type-specific regions of MTA and MTB mediate both self- and non-self-recognition, indicating that T. thermophila uses a dual approach to achieve mating-type recognition. Our results suggest that MTA and MTB form an elaborate multifunctional protein complex that can identify cells of both self and non-self mating types in order to inhibit or activate mating, respectively. Impact statementA giant multifunctional protein complex mediates mating-type recognition through a non-ligand-receptor mechanism in a multisexual species.

genetics↗

bioRxiv2023

Forsythoside A blocks the infection of Avian Infectious Bronchitis Virus through binding S1 subunit

Avian infectious bronchitis (IB) is an acute highly contagious respiratory infectious disease caused by avian infectious bronchitis virus (IBV), causing serious economic losses to poultry industry. Forsythiaside A (FTA) is a phenylethanol glycoside compound in the fruit of Forsythia suspensa, which is widely used for inflammatory respiratory tract disease, including viral infected inflammation. In this study, the mechanism of FTA against IBV was researched. To determine the inhibitory effect of FTA on IBV infection and the interaction between FTA and IBV particles, immunofluorescence assay, plaque assay, RT-qPCR and enzyme-linked immunosorbent assay (ELISA) were performed and it was discovered that FTA inhibited IBV infection and viral attachment to host receptor under non-cytotoxic concentrations, and FTA may bind to virus particles. Then ELISA and isothermal titration calorimetry (ITC) were employed to further study the interaction between FTA and S protein. The results indicated that FTA bound to S1 subunit rather S2 subunit. Besides, the molecular docking showed that FTA form hydrogen bonds with eight amino acids in the S1 subunit. When these amino acids were mutated. the affinity disappeared between the S1 mutant and FTA. In conclusion, FTA prevents IBV infection by blocking viral attachment and contacts with the S1, but not the S2 subunit of IBV. At last, the bind sites were identified by comparing the affinity of wild S1 and mutant S1.

pharmacology and toxicology↗

bioRxiv2023

A Stapled Peptide Inhibitor of METTL3-METTL14 for Cancer Therapy

METTL3, a primary methyltransferase catalyzing RNA N6-methyladenosine (m6A) modification, has been identified as an oncogene in several cancer types and thus nominated as a potentially effective target for therapeutic inhibition, although current options using this strategy are limited. In this study, we targeted protein-protein interactions at the METTL3-METTL14 binding interface to inhibit complex formation and subsequent catalysis of RNA m6A modification. Among candidate peptides, RM3 exhibited the highest anti-cancer potency, inhibiting METTL3 activity while also facilitating its proteasomal degradation. We then designed a stapled peptide inhibitor (RSM3) with enhanced peptide stability and formation of the -helical secondary structure required for METTL3 interaction. Functional and transcriptomic analysis in vivo indicated that RSM3 induced upregulation of programmed cell death-related genes while inhibiting cancer-promoting signals. Furthermore, tumor growth was significantly suppressed while apoptosis was enhanced upon RSM3 treatment, accompanied by in-creased METTL3 degradation, and reduced global RNA methylation levels in two in vivo tumor models. This peptide inhibitor thus exploits a mechanism distinct from other competitive-binding small molecules to inhibit oncogenic METTL3 activity. Our findings collectively highlight the potential of targeting METTL3 in cancer therapies through peptide-based inhibition of complex formation and proteolytic degradation.

biochemistry↗

bioRxiv2022

Quantitative multiplexed imaging of chromatin ultrastructure with Decode-PAINT

Super-resolution chromatin imaging techniques are emerging as powerful tools for spatial genomics. However, it remains challenging to visualize the genome on the order of tens of nanometers, a scale that can reveal rich structural detail about the nuclear organization. Here we introduce Decode-PAINT, a multiplexed in situ method, which leverages rapid diffraction-limited pre-decoding and DNA-PAINT (DNA points accumulation for imaging nanoscale topography). Decode-PAINT visualizes multiple discrete genomic regions at a resolution close to the nucleosome scale with a simple and easy-to-implement optical setup, reduces total imaging time by omitting multiple rounds of single-molecule recording, and enables the interrogation of the ultrastructure of the targets with <12 nm lateral and <20 nm axial resolution. We showcase the ability of our approach to perform multiplexed, high-resolution profiling of chromatin structure by performing targeted imaging of nine regions of active and inactive X chromosomes in individual cells. In short, Decode-PAINT accelerates in situ structural genomics.

systems biology↗

bioRxiv2022

Efficient algorithms for designing maximally sized orthogonal DNA sequence libraries

Orthogonal sequence library design is an essential task in bioengineering. Typical design approaches scale quadratically in the size of the candidate sequence space. As such, exhaustive searches of sequence space to maximize library size are computationally intractable with existing methods. Here, we present SeqWalk, a time and memory efficient method for designing maximally-sized orthogonal sequence libraries using the sequence symmetry minimization heuristic. SeqWalk encodes sequence design constraints in a de Bruijn graph representation of sequence space, enabling the application of efficient graph traversal techniques to the problem of orthogonal DNA sequence design. We demonstrate the scalability of SeqWalk by designing a provably maximal set of > 106 orthogonal 25nt sequences in less than 20 seconds on a single standard CPU core. We additionally derive fundamental bounds on orthogonal sequence library size under a variety of design constraints.

bioengineering↗

bioRxiv2022

MCIBox: A Toolkit for Single-molecule Multi-way Chromatin Interaction Visualization and Micro-Domains Identification

The emerging ligation-free three-dimensional (3D) genome mapping technologies can identify multiplex chromatin interactions with single-molecule precision. These technologies offer new insight into high-dimensional chromatin organization and gene regulation, but also introduce new challenges in data visualization and analysis. To overcome these challenges, we developed MCIBox, a toolkit for Multi-way Chromatin Interaction (MCI) analysis, including a visualization tool and a platform for identifying micro-domains with clustered single-molecule chromatin complexes. MCIBox is based on various clustering algorithms integrated with dimensionality reduction methods that can display multiplex chromatin interactions at single-molecule level, allowing users to explore chromatin extrusion patterns and super-enhancers regulation modes in transcription, and to identify single-molecule chromatin complexes that are clustered into micro-domains. Furthermore, MCIBox incorporates a two-dimensional kernel density estimation algorithm to identify micro-domains boundaries automatically. These micro-domains were stratified with distinctive signatures of transcription activity and contained different cell cycle associated genes. MCIBox could potentially distinguish the specificity of single-molecule chromatin interaction patterns in various phases of a cell cycle or cell types.

genomics↗

bioRxiv2022

Multi-micron crisscross structures from combinatorially assembled DNA-origami slats

Living systems achieve robust self-assembly across length scales. Meanwhile, nanofabrication strategies such as DNA origami have enabled robust self-assembly of submicron-scale shapes.However, erroneous and missing linkages restrict the number of unique origami that can be practically combined into a single supershape. We introduce crisscross polymerization of DNA-origami slats for strictly seed-dependent growth of custom multi-micron shapes with user-defined nanoscale surface patterning. Using a library of ~2000 strands that can be combinatorially assembled to yield any of ~1e48 distinct DNA origami slats, we realize five-gigadalton structures composed of >1000 uniquely addressable slats, and periodic structures incorporating >10,000 slats. Thus crisscross growth provides a generalizable route for prototyping and scalable production of devices integrating thousands of unique components that each are sophisticated and molecularly precise. One-sentence summaryCrisscross polymerization of DNA-origami slats can yield micron-scale structures with uniquely addressable nanoscale features.

synthetic biology↗

bioRxiv2021

Human embryos arrest in a quiescent-like state characterized by metabolic and zygotic genome activation problems

Around 60% of in vitro fertilized (IVF) human embryos irreversibly arrest before compaction between the 3-8-cell stage, posing a significant clinical problem. The mechanisms behind this arrest are unclear. Here, we show that the arrested embryos enter a quiescent-like state, marked by cell cycle arrest, the downregulation of ribosomes and histones and downregulation of MYC and p53 activity. Mechanistically, the arrested embryos can be divided into three types. Type I embryos fail to complete the maternal-zygotic transition, and type II/III embryos have erroneously low levels of glycolysis and variable levels of oxidative phosphorylation. Treatment with resveratrol or nicotinamide riboside (NR) can partially rescue the arrested phenotype. The mechanism of reactivation involves the upregulation of SIRT1, and activation of glycolysis and fatty acid oxidation which forces the embryos out of a quiescent state. Overall, our data reveal how human embryo arrest can be overcome by modulating metabolic pathways.

developmental biology↗

bioRxiv2021

Cryo-EM structure of an amyloid fibril formed by full-length human SOD1 reveals its pathological conformational conversion

Amyotrophic lateral sclerosis (ALS) is a progressive, fatal neurodegenerative disease characterized by the selective death of motor neurons. Misfolded Cu, Zn-superoxide dismutase (SOD1) has been linked to both familial ALS and sporadic ALS. SOD1 fibrils formed in vitro are able to incorporate into cells, transmit intercellularly, and share toxic properties with ALS inclusions. Here we produced amyloid fibrils in vitro from recombinant, full-length apo human SOD1 under semi-reducing conditions and determined the atomic structure using cryo-EM. The SOD1 fibril consists of a single protofibril with a left-handed helix. The fibril core exhibits a serpentine fold comprising N-terminal segment (residues 3 to 55) and C-terminal segment (residues 86 to 153) with a structural break. The two segments are zipped up by three salt bridge pairs. By comparison with the structure of apo SOD1 dimer, we propose that eight {beta}-strands (to form a {beta}-barrel) and one -helix in the subunit of apo SOD1 convert into thirteen {beta}-strands stabilized by five hydrophobic cavities in the SOD1 fibril. Our data provide insights into how SOD1 converts between structurally and functionally distinct states.

biochemistry↗

bioRxiv2021

Sub-3 Angstrom cryo-EM structure of RNA enabled by engineered homomeric self-assembly

Many functional RNAs fold into intricate and precise 3D architectures, and high-resolution structures are required to understand their underlying mechanistic principles. However, RNA structural determination is difficult. Herein, we present a nanoarchitectural strategy to enable the efficient single-particle cryogenic electron microscopy (cryo-EM) analysis of RNA-only structures. This strategy, termed RNA oligomerization-enabled cryo-EM via installing kissing-loops (ROCK), involves the engineering of target RNAs by installing kissing-loop sequences onto functionally nonessential stems for the assembly into closed homomeric nanoarchitectures. Assembly with geometric restraints leads to (1) molecular weight multiplication and (2) structural flexibility mitigation, both beneficial for cryo-EM analysis. Together with construct optimization and symmetry-expansion reconstruction, ROCK yields the cryo-EM reconstruction of the Tetrahymena group I intron at an overall resolution of 2.98 [A] (2.85 [A] resolution for the core domains), enabling the de novo model building of the complete intron RNA including previously unknown peripheral domains. When applied to smaller RNAs, ROCK readily produces modest-resolution maps, revealing the conformational rearrangement of the Azoarcus group I intron and the bound ligand in the FMN riboswitch. Our work unleashes the largely unexplored potential of cryo-EM in RNA structural studies.

biophysics↗

bioRxiv2021

Familial prion disease-related mutation E196K displays a novel amyloid fibril structure revealed by cryo-EM

Prion diseases are caused by the conformational conversion of prion protein (PrP) from its cellular form (PrPC) into a protease-resistant, aggregated form (PrPSc). 42 different familial mutations were identified in human PrP, which lead to genetic prion diseases with distinct clinical syndromes. Here we report cryo-EM structure of an amyloid fibril formed by full-length human PrP with E196K mutation, a familial Creutzfeldt-Jakob disease-related mutation. This mutation disrupts key interactions in wild-type PrP fibril and results in a rearrangement of the overall structure, forming an amyloid fibril with a conformation distinct from wild-type PrP fibril. The E196K fibril consists of two protofibrils intertwined into a left-handed helix. Each subunit forms five {beta}-strands stabilized by a disulfide bond and an unusual hydrophilic cavity. Two pairs of amino acids (Lys194 and Glu207; Lys196 and Glu200) from opposing subunits form four salt bridges to stabilize the zigzag interface of the two protofibrils. Furthermore, the E196K fibril exhibits a significantly lower conformational stability and protease resistance activity than the wild-type fibril. Our results provide direct structural evidences of the diverse mammalian prion strains and fibril polymorphism of PrP, and highlight the importance of familial mutations in determining the different prion strains.

biochemistry↗

bioRxiv2021

Cell-Free Characterization of Coherent Feed-Forward Loop-Based Synthetic Genetic Circuit

Regulatory pathways inside living cells employ feed-forward architectures to fulfill essential signal processing functions that aide in the interpretation of various types of inputs through noise-filtering, fold-change detection and adaptation. Although it has been demonstrated computationally that a coherent feed-forward loop (CFFL) can function as noise filter, a property essential to decoding complex temporal signals, this motif has not been extensively characterized experimentally or integrated into larger networks. Here we use post-transcriptional regulation to implement and characterize a synthetic CFFL in an Escherichia coli cell-free transcription-translation system and build larger composite feed-forward architectures. We employ microfluidic flow reactors to probe the response of the CFFL circuit using both persistent and short, noise-like inputs and analyze the influence of different circuit components on the steady-state and dynamics of the output. We demonstrate that our synthetic CFFL implementation can reliably repress background activity compared to a reference circuit, but displays low potential as a temporal filter, and validate these findings using a computational model. Our results offer practical insight into the putative noise-filtering behavior of CFFLs and show that this motif can be used to mitigate leakage and increase the fold-change of the output of synthetic genetic circuits.

synthetic biology↗