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Lin, X.

Publications and source records attributed to Lin, X..

At least 325 records · Page 18Linked to original sources

Enhancing Intracellular Concentration and Target Engagement of PROTACs with Reversible Covalent Chemistry

Current efforts in the proteolysis targeting chimera (PROTAC) field mostly focus on choosing an appropriate E3 ligase for the target protein, improving the binding affinities towards the target protein and the E3 ligase, and optimizing the PROTAC linker. However, due to the large molecular weights of PROTACs, their cellular uptake remains an issue. Through comparing how different warhead chemistry, reversible noncovalent (RNC), reversible covalent (RC), and irreversible covalent (IRC) binders, affects the degradation of Brutons Tyrosine Kinase (BTK), we serendipitously discover that cyano-acrylamide-based reversible covalent chemistry can significantly enhance the intracellular accumulation and target engagement of PROTACs and develop RC-1 as a reversible covalent BTK PROTAC with a high target occupancy as its corresponding kinase inhibitor and effectiveness as a dual functional inhibitor and degrader, a different mechanism-of-action for PROTACs. Importantly, this reversible covalent strategy is generalizable to improve other PROTACs, opening a path to enhance PROTAC efficacy.

pharmacology and toxicology↗

H3K27me3 natural variation selectively marks genes predicted to be important for differentiation in unicellular algae

O_LIIn multicellular organisms, Polycomb Repressive Complex2 (PRC2) is known to deposit H3K27me3 to establish and maintain gene silencing, critical for developmentally regulated processes. PRC2 complex is absent in both widely studied model yeasts which initially suggested that PRC2 arose with the emergence of multicellularity. However, its discovery in several unicellular species including microalgae questions its role in unicellular eukaryotes. C_LIO_LIHere, we use Phaeodactylum tricornutum enhancer of zeste E(z) knockouts and show that P. tricornutum E(z) is responsible for di and tri-methylation of lysine 27 of histone H3. C_LIO_LIH3K27me3 depletion abolishes cell morphology in P. tricornutum providing evidence for its role in cell differentiation. Genome wide profiling of H3K27me3 in fusiform and triradiate cells further revealed genes that may specify cell identity. C_LIO_LIThese results suggest a role for PRC2 and its associated mark in cell differentiation in unicellular species and highlight their ancestral function in a broader evolutionary context than is currently appreciated. C_LI

cell biology↗

mtor Haploinsufficiency Ameliorates Renal Cyst Formation in Adult Zebrafish tmem67 Mutants

Although zebrafish embryos have been utilized to study ciliogenesis and to model polycystic kidney disease (PKD), adult zebrafish remain unexplored. Here, we report the generation and characterization of a zebrafish mutant of tmem67, a homologue of the mammalian causative gene for Meckel syndrome type 3 (MKS3). Although a small population of homozygous embryos exhibited pronephric cysts, all mutants were able to survive to adulthood and developed progressive mesonephric cysts with full penetrance. The cysts in the adult zebrafish kidneys manifested features of mammalian PKD, including switching of cyst origin from the proximal tubules to the collecting ducts, increased proliferation of cyst-lining epithelial cells, and hyperactive mTOR signaling. Consistent ciliary abnormalities were observed in both the embryonic and adult zebrafish mutants compared with the wild-type fish, including shorter and fewer single cilia in the distal pronephros and all segments of the mesonephros and greater numbers of multiciliated cells (MCCs). Lack of single cilium preceded cystogenesis, suggestive of a primary defect. Expansion of MCCs occurred after pronephric cyst formation and was inversely correlated with the severity of cystogenesis in young adult zebrafish, suggesting an adaptive action. Interestingly, mTOR inhibition ameliorated renal cysts in both the embryonic and adult zebrafish models; however, it only rescued ciliary abnormalities in the adult mutants. In summary, we have established a tmem67 mutant as the first adult zebrafish PKD model, revealed a novel aspect of cilium regulation, and identified sustained mTOR inhibition as a candidate therapeutic strategy for tmem67-based PKD. Significance StatementWhile zebrafish embryos are well recognized for their value in studying ciliogenesis and polycystic kidney disease (PKD), adult zebrafish have not commonly been used. Here, we report the establishment of the first adult zebrafish model for PKD, which exhibits characteristics of mammalian PKD and shows kidney ciliary abnormalities consistent with those observed in an embryonic model. We also provide evidence for mTOR inhibition as a therapeutic strategy for this particular type of cystogenesis. Compared to the embryonic model, the adult fish model exhibits a spectrum of progressive pathogeneses and enables ciliary abnormalities to be discerned as either primary or secondary to cystogenesis. We believe that this novel adult fish model will facilitate mechanistic studies and therapeutic development for PKD.

genetics↗

Single cell atlas of domestic pig brain illuminates the conservation and divergence of cell types at spatial and species levels

Domestic pig (Sus scrofa domesticus) has drawn much attention from researchers worldwide due to its implications in evolutionary biology, regenerative medicine and agriculture. The brain atlas of Homo sapiens (primate), Mus musculus (rodent), Danio rerio (fish) and Drosophila melanogaster (insect) have been constructed at single cell resolution, however, the cellular compositions of pig brain remain largely unexplored. In this study, we investigated the single-cell transcriptomic profiles of five distinct regions of domestic pig brain, from which we identified 21 clusters corresponding to six major cell types, characterized by unique spectrum of gene expression. By spatial comparison, we identified cell types enriched or depleted in certain brain regions. Inter-species comparison revealed cell-type similarities and divergences in hypothalamus between mouse and pig, providing invaluable resources for the evolutionary exploration of brain functions at single cell level. Besides, our study revealed cell types and molecular pathways closely associated with several diseases (obesity, anorexia, bulimia, epilepsy, intellectual disability, and autism spectrum disorder), bridging the gap between gene mutations and pathological phenotypes, which might be of great use to the development precise therapies against neural system disorders. Taken together, we reported, so far as we know, the first single cell brain atlas of Sus scrofa domesticus, followed by comprehensive comparisons across brain region and species, which could throw light upon future evo-devo, regenerative medicine, and agricultural studies.

bioinformatics↗

SIRT2-knockdown Rescues GARS-induced Charcot-Marie-Tooth Neuropathy

Charcot-Marie-Tooth disease is the most common inherited peripheral neuropathy. Dominant mutations in glycyl-tRNA synthetase (GARS) gene cause peripheral nerve degeneration and lead to CMT disease type 2D. Mutations in GARS (GARSCMT2D) show partial loss-of-function features, suggesting that tRNA-charging deficits play a role in disease pathogenesis, but the underlying mechanisms are not fully understood. In this study we report that wild-type GARS tightly binds the NAD+-dependent deacetylase SIRT2 and inhibits its deacetylation activity, resulting in the hyperacetylated -tubulin, the major substrate of SIRT2. Previous studies showed that acetylation of -tubulin protects microtubules from mechanical breakage and keep axonal transportation. However, CMT2D mutations in GARS can not inhibit SIRT2 deacetylation, which leads to decrease acetylated -tubulin and severe axonal transport deficits. Genetic reduction of SIRT2 in the Drosophila model rescues the GARS-induced axonal CMT neuropathy and extends the life span. Our findings demonstrate the pathogenic role of SIRT2-dependent -tubulin deacetylation in mutant GARS-induced neuropathies and provide new perspectives for targeting SIRT2 as a potential therapy against hereditary axonopathies.

cell biology↗

A hydrogel beads based platform for single-cell phenotypic analysis and digital molecular detection

Microfluidic platforms integrating phenotyping and genotyping approaches have the potential to advance the understanding of single cell genotype-to-phenotype correlations. These correlations can play a key role in tackling antibiotic heteroresistance, cancer cell heterogeneity, and other related fundamental problems. Herein, we report a novel platform that enables both high-throughput digital molecular detection and single-cell phenotypic analysis, utilizing nanoliter-sized biocompatible polyethylene glycol hydrogel beads produced by a convenient and disposable centrifugal droplet generation device. The hydrogel beads have been demonstrated enhanced thermal stability, and achieved uncompromised efficiencies in digital polymerase chain reaction, digital loop-mediated isothermal amplification, and single cell phenotyping. The crosslinked hydrogel network highlights the prospective linkage of various subsequent molecular analyses to address the genotypic differences between cellular subpopulations exhibiting distinct phenotypes. Our platform shows great potential for applications in clinical practice and medical research, and promises new perspectives in mechanism elucidation of environment-evolution interaction and other basic research areas.

bioengineering↗

Unsupervised content-preserving transformation for optical microscopy

The development of deep learning and the open access to a substantial collection of imaging data provide a potential solution to computational image transformation, which is gradually changing the landscape of optical imaging and biomedical research. However, current implementations of deep learning usually operate in a supervised manner and the reliance on a laborious and error-prone data annotation procedure remains a barrier towards more general applicability. Here, we propose an unsupervised image transformation to facilitate the utilization of deep learning for optical microscopy, even in some cases where supervised models cannot apply. By introducing a saliency constraint, the unsupervised model, dubbed as Unsupervised content-preserving Transformation for Optical Microscopy (UTOM), can learn the mapping between two image domains without requiring paired training data and avoid the distortion of the image content. UTOM shows promising performances in a wide range of biomedical image transformation tasks, including in silico histological staining, fluorescence image restoration, and virtual fluorescence labeling. Quantitative evaluations elucidate that UTOM achieves stable and high-fidelity image transformations across different imaging conditions and modalities. We anticipate that our framework will encourage a paradigm shift in training neural networks and enable more applications of artificial intelligence in biomedical imaging.

bioinformatics↗

Predicting master transcription factors from pan-cancer expression data

The function of critical developmental regulators can be subverted by cancer cells to control expression of oncogenic transcriptional programs. These "master transcription factors" (MTFs) are often essential for cancer cell survival and represent vulnerabilities that can be exploited therapeutically. The current approaches to identify candidate MTFs examine super-enhancer associated transcription factor-encoding genes with high connectivity in network models. This relies on chromatin immunoprecipitation-sequencing (ChIP-seq) data, which is technically challenging to obtain from primary tumors, and is currently unavailable for many cancer types and clinically relevant subtypes. In contrast, gene expression data are more widely available, especially for rare tumors and subtypes where MTFs have yet to be discovered. We have developed a predictive algorithm called CaCTS (Cancer Core Transcription factor Specificity) to identify candidate MTFs using pan-cancer RNA-sequencing data from The Cancer Genome Atlas. The algorithm identified 273 candidate MTFs across 34 tumor types and recovered known tumor MTFs. We also made novel predictions, including for cancer types and subtypes for which MTFs have not yet been characterized. Clustering based on MTF predictions reproduced anatomic groupings of tumors that share 1-2 lineage-specific candidates, but also dictated functional groupings, such as a squamous group that comprised five tumor subtypes sharing 3 common MTFs. PAX8, SOX17, and MECOM were candidate factors in high-grade serous ovarian cancer (HGSOC), an aggressive tumor type where the core regulatory circuit is currently uncharacterized. PAX8, SOX17, and MECOM are required for cell viability and lie proximal to super-enhancers in HGSOC cells. ChIP-seq revealed that these factors co-occupy HGSOC regulatory elements globally and co-bind at critical gene loci including MUC16 (CA-125). Addiction to these factors was confirmed in studies using THZ1 to inhibit transcription in HGSOC cells, suggesting early down-regulation of these genes may be responsible for cytotoxic effects of THZ1 on HGSOC models. Identification of MTFs across 34 tumor types and 140 subtypes, especially for those with limited understanding of transcriptional drivers paves the way to therapeutic targeting of MTFs in a broad spectrum of cancers.

cancer biology↗

Single-molecule nanopore sensing of actin dynamics and drug binding

Actin is a key protein in the dynamic processes within the eukaryotic cell. To date, methods exploring the molecular state of actin are limited to insights gained from structural approaches, providing a snapshot of protein folding, or methods that require chemical modifications compromising actin monomer thermostability. Nanopore sensing permits label-free investigation of native proteins and is ideally suited to study proteins such as actin that require specialised buffers and cofactors. Using nanopores we determined the state of actin at the macromolecular level (filamentous or globular) and in its monomeric form bound to inhibitors. We revealed urea-dependent and voltage-dependent transitional states and observed unfolding process within which sub-populations of transient actin oligomers are visible. We detected, in real-time, drug-binding and filament-growth events at the single-molecule level. This enabled us to calculate binding stoichiometries and to propose a model for protein dynamics using unmodified, native actin molecules, demostrating the promise of nanopores sensing for in-depth understanding of protein folding landscapes and for drug discovery.

biophysics↗

N-terminal domain Increases Activation of Elephant Shark Glucocorticoid and Mineralocorticoid Receptors

Orthologs of human glucocorticoid receptor (GR) and human mineralocorticoid receptor (MR) first appear in cartilaginous fishes. Subsequently, the MR and GR diverged to respond to different steroids: the MR to aldosterone and the GR to cortisol and corticosterone. We report that cortisol, corticosterone and aldosterone activate full-length elephant shark GR, and progesterone, which activates elephant shark MR, does not activate elephant shark GR. However, progesterone inhibits steroid binding to elephant shark GR, but not to human GR. Together, this indicates partial functional divergence of elephant shark GR from the MR. Deletion of the N-terminal domain (NTD) from elephant shark GR (truncated GR) reduced the response to corticosteroids, while truncated and full-length elephant shark MR had similar responses to corticosteroids. Swapping of NTDs of elephant shark GR and MR yielded an elephant shark MR chimera with full-length GR-like increased activation by corticosteroids and progesterone compared to full-length elephant shark MR. Elephant shark MR NTD fused to GR DBD+LBD had similar activation as full-length MR, indicating that the MR NTD lacked GR-like NTD activity. We propose that NTD activation of human GR evolved early in GR divergence from the MR.

evolutionary biology↗

Ketamine anesthesia induces gain enhancement via recurrent excitation in granular input layers of the auditory cortex

The N-methyl-D-aspartate (NMDA) receptor antagonist, ketamine, is commonly used as an anesthetic agent and has more recently gained attention as an antidepressant. Ketamine has been linked to increased stimulus-locked excitability, inhibition of interneurons, and modulation of intrinsic neuronal oscillations. However, the functional network mechanisms are still elusive. A better understanding of these anesthetic network effects may improve upon previous interpretations of seminal studies conducted under anesthesia and have widespread relevance for neuroscience with awake and anesthetized subjects as well as in medicine. Here, we investigated the effects of anesthetic doses of ketamine (15mg kg-1/h i.p.) on the network activity after pure tone stimulation within the auditory cortex of male Mongolian gerbils (Meriones unguiculatus). We used laminar current source density (CSD) analysis and subsequent layer-specific continuous wavelet analysis to investigate spatiotemporal response dynamics on cortical columnar processing in awake and ketamine-anesthetized animals. We found thalamocortical input processing within granular layers III/IV to be significantly increased under ketamine. This effect on early thalamocortical input processing was not due to changes in cross-trial phase coherence. Rather, the layer-dependent gain enhancement under ketamine was attributed to a broadband increase in amplitude reflecting an increase in recurrent excitation. The time-frequency analysis is further indicative of a prolonged period of stimulus-induced excitation possibly due to a reduced coupling of excitation and inhibition in granular input circuits--in line with the common hypothesis of cortical disinhibition via NMDA-mediated suppression of GABAergic interneurons.\n\nStatement of significanceKetamine is a common anesthetic agent and is known to alter excitability and neuronal synchronicity in the cortex. We reveal here that anesthetic doses of ketamine increase recurrent excitation of thalamic input in the granular layers of the auditory cortex of Mongolian gerbils. This leads to a layer-specific gain enhancement of the time-locked response to external stimuli. Analysis of tone-evoked amplitudes and cross-trial variability of cortical current sources and sinks indicate a mechanism of cortical disinhibition via NMDA-mediated suppression of GABAergic interneurons. Our findings might help to understand the functional mechanisms of the clinical effects of ketamine promoting the development of new therapeutic agents with lower side effects.

neuroscience↗

PRC2 bridges non-adjacent nucleosomes to establish heterochromatin

Polycomb repressive complex 2 (PRC2) maintains transcriptionally silent heterochromatin by installing and spreading repressive histone methylation marks along nucleosome arrays. Despite extensive research, the mechanism by which PRC2 engages with chromatin remains incompletely understood. Here we employ single-molecule force spectroscopy and molecular dynamics simulations to dissect the interactions of PRC2 with polynucleosome substrates. Our results reveal an unexpectedly diverse repertoire of PRC2 binding configurations on chromatin. Besides interacting with bare DNA, mononucleosomes, and neighboring nucleosome pairs, PRC2 is also found to bridge non-adjacent nucleosomes, an activity associated with chromatin compaction. Furthermore, the distribution and stability of these PRC2-chromatin interaction modes are differentially modulated by accessory PRC2 cofactors, oncogenic histone mutations, and the methylation state of chromatin. Overall, this work provides a paradigm for understanding the physical basis of epigenetic maintenance mediated by Polycomb group proteins.

biophysics↗

More Severe Loss-of-Function Sodium Channel induced by Compound SCN5A R965C and R1309H Mutants lead to Complex Familial Arrhythmia Syndrome.

[Abstract]O_ST_ABSObjectiveC_ST_ABSA complex familial arrhythmia syndrome was identified in a Chinese Han family, characterized by sick sinus syndrome, progressive conduction block, atrial fibrillation, atrial standstill and Brugada syndrome. The underlying mechanism associated with the genetic mutation was investigated.\n\nMethodsGenetic analysis was conducted for probands in the coding and splicing regions of genes susceptible to cardiac arrhythmia diseases. The stable cell lines overexpressing wild-type (WT) or mutant SCN5A gene were generated in HEK293T cells and electrophysiological recordings were performed to evaluate the functional changes of mutant NaV1.5 channels.\n\nResultsWe identified a rare double R965C and R1309H mutations in NaV1.5 channel, as a heterozygous and compound pattern, locating in the same chromosome. Compared to WT, a single mutation of R965C or R1309H, the compound mutations of R965C-R1309H most dramatically reduced the peak current of NaV1.5 channel with testing potentials ranging from -35 mV to 25 mV. Notably, the maximal peak current of NaV1.5 channel carrying R1309H only and R965C-R1309H mutations displayed significant decreases by 31.5% and 73.34%, respectively, compared to WT. Additionally, compared to single mutations of R965C or R1309H, the R965C-R1309H mutations resulted in more obviously depolarization-shifted activation and hyperpolarization-shifted inactivation, also caused most significantly changed time constant, V1/2 and slope factor of activation and inactivation.\n\nConclusionsThe compound mutations of R965C-R1309H led to more dramatically reduced current density of Nav1.5 channel, as well as more depolarization-shifted activation and hyperpolarization-shifted inactivation than single mutation of R965C or R1309H, which may provide more understanding on the molecular mechanisms underlying the familial arrhythmia syndrome.\n\nAuthor summarySeveral limited types of research about the interaction of compound mutations and the mechanism of interaction remains controversial. Here we report a novel compound mutation R965C-R1309H in SCN5A gene.The compound mutations of R965C-R1309H markedly reduced the Na+ current density of Nav1.5 channel and caused significant depolarization-shifted activation and hyperpolarization-shifted inactivation, suggesting that R965C mutation aggravated the pore gating changes of sodium channel containing R1309H mutation. The R965C located in the S4-like region in the intracellular loop between DII and DIII, and the R1309H located in the S4 helix of DIII as voltage sensor, which thus potentially had synergistic and interacting effects on pore gating properties of the sodium channel. Additionally, the complex familial arrhythmia syndrome simultaneously complicated of early young onset of arrhythmia and harmful prognosis of recurrent ischemic cerebral stroke, even though effective Warfarin anticoagulation.

genetics↗

Characterizing the Emergence of Liver and Gallbladder from the Embryonic Endoderm through Single-Cell RNA-Seq

The liver and gallbladder are among the most important internal organs derived from the endoderm. Several inductive signals regulate liver development, yet the pure nascent hepatic and gallbladder cells are unable to be isolated due to limited cell markers and cell numbers. The transcriptome networks of the hepatic lineage in the endoderm, and how the gallbladder differentiates from the adjacent endoderm population, are not fully understood. Using a transgenic Foxa2eGFP reporter mouse line, we performed deep single-cell RNA sequencing on 1,966 individual cells, including nascent hepatic and gallbladder cells, isolated from the endoderm and hepatic regions from ten embryonic stages, ranging from day E7.5 to E15.5. We identified the embryonic liver developmental trajectory from primitive streak to hepatoblasts and characterized the transcriptome of the hepatic lineage. During pre-hepatogenesis (5-6 somite stage), we have identified two groups of foregut endoderm cells, one derived from visceral endoderm and the second derived from primitive streak via a mesenchymal-epithelial transition (MET). During the liver specification stages, liver primordium was identified to share both foregut and liver features. We also documented dynamic gene expression during the epithelial-hepatic transition (EHT). Six gene groups were found to switch on or off at different stages during liver specification. Importantly, we found that RXR complex signaling and newly identified transcription factors associated with liver specification. Moreover, we revealed the gallbladder primordium cells at E9.5 and found genes that transcriptionally distinguish them from the liver primordium. The present data provides a high-resolution resource and critical insights for understanding the emergence of the endoderm, liver and gallbladder development.

developmental biology↗

Rational design of hepatitis C virus E2 core nanoparticle vaccines

Hepatitis C virus (HCV) envelope glycoproteins E1 and E2 are critical for cell entry with E2 being the major target of neutralizing antibodies (NAbs). Here, we present a comprehensive strategy for B cell-based HCV vaccine development through E2 optimization and nanoparticle display. We redesigned variable region 2 in a truncated form (tVR2) on E2 cores derived from genotypes 1a and 6a, resulting in improved stability and antigenicity. Crystal structures of three optimized E2 cores with human cross-genotype NAbs (AR3s) revealed how the modified tVR2 stabilizes E2 without altering key neutralizing epitopes. We then displayed these E2 cores on 24- and 60-meric nanoparticles and achieved high yield, high purity, and enhanced antigenicity. In mice, these nanoparticles elicited more effective NAb responses than soluble E2 cores. Next-generation sequencing (NGS) defined distinct B-cell patterns associated with nanoparticle-induced antibody responses, which cross-neutralized HCV by targeting the conserved neutralizing epitopes on E2.\n\nOne Sentence SummaryAn HCV vaccine strategy is presented that displays redesigned E2 cores on nanoparticles as vaccine candidates for eliciting a broadly neutralizing B-cell response.

microbiology↗

A Single-Cell Immune Atlas of Triple Negative Breast Cancer Reveals Novel Immune Cell Subsets

Triple-negative breast cancer (TNBC) represents the most aggressive breast cancer subtype, which recently attracts great interest for immune therapeutic development. In this context, in-depth understanding of TNBC immune landscape is highly demanded. Here we report single-cell RNA sequencing results of 9683 tumor-infiltrated immune cells isolated from 14 treatment naive TNBC tumors, where 22 immune cell subsets, including T cells, macrophages, B cells, and DCs have been characterized. We identify a new T cell subset, CD8+CXCL8+ naive T cell, which associates with poor survival. A novel immune cell subset comprised of TCR+ macrophages, is found to be widely distributed in TNBC tumors. Further analyses reveal an up-regulation of molecules associated with TCR signaling and cytotoxicity in these immune cells, indicating TCR signaling activation. Altogether, our study provides a valuable resource to understand the immune ecosystem of TNBC. The novel immune cell subsets reported herein might be functionally important in cancer immunity.\n\nSIGNIFICANCEThis work demonstrates a single-cell transcriptome atlas of immune cells in treatment naive TNBC tumors, revealing novel immune cell subsets. This study provides a valuable resource to understand the immune ecosystem of TNBC, which will be helpful for the immunotherapeutic strategy design of TNBC.

immunology↗

The common neoantigens in colorectal cancer are predicted and validated to be presented or immunogenic

Colorectal cancer (CRC) is a malignant cancer with high incidence and mortality in the world, as the result of the traditional treatments. Immunotherapy targeting neoantigens can induce durable tumor regression in cancer patients, but is almost limited to individual treatment, resulting from the unique neoantigens. Many shared oncogenic mutations are detected, but whether the common neoantigens can be identified in CRC is unknown. Using the somatic mutations data from 321 CRC patients combined with a filter standard and 7 predicted algorithms, we screened and obtained 25 HLA-A*11:01 restricted common neoantigens with high binding affinity (IC50<50 nM) and presentation score (>0.9). Except the positive epitope KRAS_G12V8-16, 11 out of 25 common neoantigens were proved to be naturally processed and presented on constructed K562 cell surface by mass spectroscopy (MS), and 11 out of 25 common neoantigens specifically induced in vitro pre-stimulated cytotoxic lymphocyte (CTL) to secrete IFN-{gamma}. However, only 2 out of 25 common neoantigens were simultaneously presented and immunogenic. Moreover, using cell-sorting technology combined with single-cell RNA sequencing, the immune repertoire profiles of C1orf170_S418G413-421 and KRAS_G12V8-16-specific CTL were clarified. Therefore, common neoantigens with presentation and immunogenicity could be found in CRC, which would be developed as the universal targets for CRC immunotherapy.

immunology↗

3D observation of large-scale subcellular dynamics in vivo at the millisecond scale

Observing large-scale three-dimensional (3D) subcellular dynamics in vivo at high spatiotemporal resolution has long been a pursuit for biology. However, both the signal-to-noise ratio and resolution degradation in multicellular organisms pose great challenges. Here, we propose a method, termed Digital Adaptive Optics Scanning Lightfield Mutual Iterative Tomography (DAOSLIMIT), featuring both 3D incoherent synthetic aperture and tiled wavefront correction in post-processing. We achieve aberration-free fluorescence imaging in vivo over a 150 x 150 x 16 m3 field-of-view with the spatiotemporal resolution up to 250 nm laterally and 320 nm axially at 100 Hz, corresponding to a huge data throughput of over 15 Giga-voxels per second. Various fast subcellular processes are observed, including mitochondrial dynamics in cultured neurons, membrane dynamics in zebrafish embryos, and calcium propagation in cardiac cells, human cerebral organoids, and Drosophila larval neurons, enabling simultaneous in vivo studies of morphological and functional dynamics in 3D.

cell biology↗