Single-cell RNA sequencing analysis of the retina under acute high intraocular pressure

High intraocular pressure causes retinal ganglion cell injury in primary and secondary glaucoma diseases,yet the molecular landscape characteristics of retinal cells under high intraocular pressure remain unknown.Rat models of acute hypertension ocular pressure were established by injection of cross-linked hyaluronic acid hydrogel(Healaflow■).Single-cell RNA sequencing was then used to describe the cellular composition and molecular profile of the retina following high intraocular pressure.Our results identified a total of 12 cell types,namely retinal pigment epithelial cells,rod-photoreceptor cells,bipolar cells,Müller cells,microglia,cone-photoreceptor cells,retinal ganglion cells,endothelial cells,retinal progenitor cells,oligodendrocytes,pericytes,and fibroblasts.The single-cell RNA sequencing analysis of the retina under acute high intraocular pressure revealed obvious changes in the proportions of various retinal cells,with ganglion cells decreased by 23%.Hematoxylin and eosin staining and TUNEL staining confirmed the damage to retinal ganglion cells under high intraocular pressure.We extracted data from retinal ganglion cells and analyzed the retinal ganglion cell cluster with the most distinct expression.We found upregulation of the B3gat2 gene,which is associated with neuronal migration and adhesion,and downregulation of the Tsc22d gene,which participates in inhibition of inflammation.This study is the first to reveal molecular changes and intercellular interactions in the retina under high intraocular pressure.These data contribute to understanding of the molecular mechanism of retinal injury induced by high intraocular pressure and will benefit the development of novel therapies.

Applications of single-cell RNA sequencing in spermatogenesis and molecular evolution

Spermatogenic cell heterogeneity is determined by the complex process of spermatogenesis differentiation.However,effectively revealing the regulatory mechanisms underlying mammalian spermatogenic cell development and differentiation via traditional methods is difficult.Advances in technology have led to the emergence of many single-cell transcriptome sequencing protocols,which have partially addressed these challenges.In this review,we detail the principles of 10x Genomics technology and summarize the methods for downstream analysis of single-cell transcriptome sequencing data.Furthermore,we explore the role of single-cell transcriptome sequencing in revealing the heterogeneity of testicular ecological niche cells,delineating the establishment and disruption of testicular immune homeostasis during human spermatogenesis,investigating abnormal spermatogenesis in humans,and,ultimately,elucidating the molecular evolution of mammalian spermatogenesis.

Single‑cell sequencing reveals the reproductive variations between primiparous and multiparous Hu ewes

Background In the modern sheep production systems,the reproductive performance of ewes determines the economic profitability of farming.Revealing the genetic mechanisms underlying differences in the litter size is important for the selection and breeding of highly prolific ewes.Hu sheep,a high-quality Chinese sheep breed,is known for its high fecundity and is often used as a model to study prolificacy traits.In the current study,animals were divided into two groups according to their delivery rates in three consecutive lambing seasons(namely,the high and low reproductive groups with≥3 lambs and one lamb per season,n=3,respectively).The ewes were slaughtered within 12 h of estrus,and unilateral ovarian tissues were collected and analyzed by 10×Genomics single-cell RNA sequencing.Results A total of 5 types of somatic cells were identified and corresponding expression profiles were mapped in the ovaries of each group.Noticeably,the differences in the ovary somatic cell expression profiles between the high and low reproductive groups were mainly clustered in the granulosa cells.Furthermore,four granulosa cell subtypes were identified.GeneSwitches analysis revealed that the abundance of JPH1 expression and the reduction of LOC101112291 expression could lead to different evolutionary directions of the granulosa cells.Additionally,the expression levels of FTH1 and FTL in mural granulosa cells of the highly reproductive group were significantly higher.These genes inhibit necroptosis and ferroptosis of mural granulosa cells,which helps prevent follicular atresia.Conclusions This study provides insights into the molecular mechanisms underlying the high fecundity of Hu sheep.The differences in gene expression profiles,particularly in the granulosa cells,suggest that these cells play a critical role in female prolificacy.The findings also highlight the importance of genes such as JPH1,LOC101112291,FTH1,and FTL in regulating granulosa cell function and follicular development.

Single-cell RNA sequencing in cornea research:Insights into limbal stem cells and their niche regulation

The corneal epithelium is composed of stratified squamous epithelial cells on the outer surface of the eye,which acts as a protective barrier and is critical for clear and stable vision.Its continuous renewal or wound healing depends on the proliferation and differentiation of limbal stem cells(LSCs),a cell population that resides at the limbus in a highly regulated niche.Dysfunction of LSCs or their niche can cause limbal stem cell deficiency,a disease that is manifested by failed epithelial wound healing or even blindness.Nevertheless,compared to stem cells in other tissues,little is known about the LSCs and their niche.With the advent of single-cell RNA sequencing,our understanding of LSC characteristics and their microenvironment has grown considerably.In this review,we summarized the current findings from single-cell studies in the field of cornea research and focused on important advancements driven by this technology,including the heterogeneity of the LSC population,novel LSC markers and regulation of the LSC niche,which will provide a reference for clinical issues such as corneal epithelial wound healing,ocular surface reconstruction and interventions for related diseases.

Application of single-cell RNA sequencing in head and neck squamous cell carcinoma

Single-cell RNA sequencing has been broadly applied to head and neck squamous cell carcinoma(HNSCC) for characterizing the heterogeneity and genomic mutations of HNSCC benefiting from the advantage of single-cell resolution. We summarized most of the current studies and aimed to explore their research methods and ideas, as well as how to transform them into clinical applications. Through single-cell RNA sequencing, we found the differences in tumor cells’ expression programs and differentiation tracks. The studies of immune microenvironment allowed us to distinguish immune cell subpopulations, the extensive expression of immune checkpoints, and the complex crosstalk network between immune cells and non-immune cells. For cancerassociated fibroblasts(CAFs), single-cell RNA sequencing had made an irreplaceable contribution to the exploration of their differentiation status, specific CAFs markers, and the interaction with tumor cells and immune cells. In addition, we demonstrated in detail how single-cell RNA sequencing explored the HNSCC epithelial-tomesenchymal transition(EMT) model and the mechanism of drug resistance, as well as its clinical value.

Single cell RNA sequencing reveals mesenchymal heterogeneity and critical functions of Cd271 in tooth development

BACKGROUND Accumulating evidence suggests that the maxillary process,to which cranial crest cells migrate,is essential to tooth development.Emerging studies indicate that Cd271 plays an essential role in odontogenesis.However,the underlying mechanisms have yet to be elucidated.AIM To establish the functionally heterogeneous population in the maxillary process,elucidate the effects of Cd271 deficiency on gene expression differences.METHODS p75NTR knockout(Cd271-/-)mice(from American Jackson laboratory)were used to collect the maxillofacial process tissue of p75NTR knockout mice,and the wildtype maxillofacial process of the same pregnant mouse wild was used as control.After single cell suspension,the cDNA was prepared by loading the single cell suspension into the 10x Genomics Chromium system to be sequenced by NovaSeq6000 sequencing system.Finally,the sequencing data in Fastq format were obtained.The FastQC software is used to evaluate the quality of data and CellRanger analyzed the data.The gene expression matrix is read by R software,and Seurat is used to control and standardize the data,reduce the dimension and cluster.We search for marker genes for subgroup annotation by consulting literature and database;explore the effect of p75NTR knockout on mesenchymal stem cells(MSCs)gene expression and cell proportion by cell subgrouping,differential gene analysis,enrichment analysis and protein-protein interaction network analysis;understand the interaction between MSCs cells and the differentiation trajectory and gene change characteristics of p75NTR knockout MSCs by cell communication analysis and pseudo-time analysis.Last we verified the findings single cell sequencing in vitro.RESULTS We identified 21 cell clusters,and we re-clustered these into three subclusters.Importantly,we revealed the cell–cell communication networks between clusters.We clarified that Cd271 was significantly associated with the regulation of mineralization.CONCLUSION This study provides comprehensive mechanistic insights into the maxillary-process-derived MSCs and demonstrates that Cd271 is significantly associated with the odontogenesis in mesenchymal populations.

Single-cell RNA sequencing reveals the dynamics of hepatic non-parenchymal cells in autoprotection against acetaminophen-induced hepatotoxicity

Gaining a better understanding of autoprotection against drug-induced liver injury(DILI)may provide new strategies for its prevention and therapy.However,little is known about the underlying mechanisms of this phenomenon.We used single-cell RNA sequencing to characterize the dynamics and functions of hepatic non-parenchymal cells(NPCs)in autoprotection against DILI,using acetaminophen(APAP)as a model drug.Autoprotection was modeled through pretreatment with a mildly hepatotoxic dose of APAP in mice,followed by a higher dose in a secondary challenge.NPC subsets and dynamic changes were identified in the APAP(hepatotoxicity-sensitive)and APAP-resistant(hepatotoxicity-resistant)groups.A chemokine(C-C motif)ligand 2^(+)endothelial cell subset almost disappeared in the APAP-resistant group,and an R-spondin 3^(+)endothelial cell subset promoted hepatocyte proliferation and played an important role in APAP autoprotection.Moreover,the dendritic cell subset DC-3 may protect the liver from APAP hepatotoxicity by inducing low reactivity and suppressing the autoimmune response and occurrence of inflammation.DC-3 cells also promoted angiogenesis through crosstalk with endothelial cells via vascular endothelial growth factor-associated ligand-receptor pairs and facilitated liver tissue repair in the APAP-resistant group.In addition,the natural killer cell subsets NK-3 and NK-4 and the Sca-1^(-)CD62L^(+)natural killer T cell subset may promote autoprotection through interferon-γ-dependent pathways.Furthermore,macrophage and neutrophil subpopulations with anti-inflammatory phenotypes promoted tolerance to APAP hepatotoxicity.Overall,this study reveals the dynamics of NPCs in the resistance to APAP hepatotoxicity and provides novel insights into the mechanism of autoprotection against DILI at a high resolution.

A SARS-CoV-2 neutralizing antibody discovery by single cell sequencing and molecular modeling

Although vaccines have been developed,mutations of SARS-CoV-2,especially the dominant B.1.617.2(delta)and B.1.529(omicron)strains with more than 30 mutations on their spike protein,have caused a significant decline in prophylaxis,calling for the need for drug improvement.Antibodies are drugs preferentially used in infectious diseases and are easy to get from immunized organisms.The current study combined molecular modeling and single memory B cell sequencing to assess candidate sequences before experiments,providing a strategy for the fabrication of SARS-CoV-2 neutralizing antibodies.A total of 128 sequences were obtained after sequencing 196 memory B cells,and 42 sequences were left after merging extremely similar ones and discarding incomplete ones,followed by homology modeling of the antibody variable region.Thirteen candidate sequences were expressed,of which three were tested positive for receptor binding domain recognition but only one was confirmed as having broad neutralization against several SARS-CoV-2 variants.The current study successfully obtained a SARS-CoV-2 antibody with broad neutralizing abilities and provided a strategy for antibody development in emerging infectious diseases using single memory B cell BCR sequencing and computer assistance in antibody fabrication.

Applications of single cell RNA sequencing to research of stem cells

Stem cells(SCs)with their self-renewal and pluripotent differentiation potential,show great promise for therapeutic applications to some refractory diseases such as stroke,Parkinsonism,myocardial infarction,and diabetes.Furthermore,as seed cells in tissue engineering,SCs have been applied widely to tissue and organ regeneration.However,previous studies have shown that SCs are heterogeneous and consist of many cell subpopulations.Owing to this heterogeneity of cell states,gene expression is highly diverse between cells even within a single tissue,making precise identification and analysis of biological properties difficult,which hinders their further research and applications.Therefore,a defined understanding of the heterogeneity is a key to research of SCs.Traditional ensemble-based sequencing approaches,such as microarrays,reflect an average of expression levels across a large population,which overlook unique biological behaviors of individual cells,conceal cell-to-cell variations,and cannot understand the heterogeneity of SCs radically.The development of high throughput single cell RNA sequencing(scRNA-seq)has provided a new research tool in biology,ranging from identification of novel cell types and exploration of cell markers to the analysis of gene expression and predicating developmental trajectories.scRNA-seq has profoundly changed our understanding of a series of biological phenomena.Currently,it has been used in research of SCs in many fields,particularly for the research of heterogeneity and cell subpopulations in early embryonic development.In this review,we focus on the scRNA-seq technique and its applications to research of SCs.

Panoramic comparison between NK cells in healthy and cancerous liver through single-cell RNA sequencing

Objective:NK cells play crucial roles in the immune defense mechanisms against viral infections and transformed cells.However,the developmental progression,transcriptomic landscape,and functional subtypes of liver NK cells are not well defined.Hepatocellular carcinoma(HCC)accounts for approximately 80%of primary liver cancer worldwide,yet the biological characteristics of NK cells in the HCC environment are unclear.Therefore,we aimed to determine these cells’roles in tumorigenesis and prognosis.Methods:We compared the single-cell RNA sequencing profiles of NK cells purified from blood(n=1),healthy liver tissues(n=3),HCC tumor tissues(n=4),and peritumor liver tissues(n=1)to identify NK cell subsets.Furthermore,we performed bioinformatics analysis by using The Cancer Genome Atlas(TCGA)data to identify prognostic biomarkers simultaneously overexpressed in the blood and tumor tissues of patients with HCC.Results:Transcriptomic analysis revealed 5 NK cell subsets(L1-NK-CD56bright,L2-NK-CD56dim,L3-NK-HLA,L4-LrNK-FCGR3A,and L5-LrNK-XCL1)in the healthy liver tissues.However,the transitional L3 subset and the CXCR6+CD16+L4 subset with strong anti-tumor activity were absent in the HCC and peritumor liver tissues.Furthermore,4 common prognosis-associated genes(RHOB,TALDO1,HLA-DPA1,and TKT)were significantly overexpressed in the paired tumor tissue and blood.Conclusions:Our study revealed 5 specific subsets of NK cells in healthy human liver tissues.However,only 3 of the 5 NK cell subsets were present in HCC and peritumor tissues.The cytotoxic NK cell subsets were absent in HCC tissues.Furthermore,we identified 4 potential non-invasive prognostic biomarkers in patients with HCC.

Recent advances of single-cell RNA sequencing technology in mesenchymal stem cell research

Mesenchymal stem cells(MSCs)are multipotent stromal cells with great potential for clinical applications.However,little is known about their cell heterogeneity at a single-cell resolution,which severely impedes the development of MSC therapy.In this review,we focus on advances in the identification of novel surface markers and functional subpopulations of MSCs made by single-cell RNA sequencing and discuss their participation in the pathophysiology of stem cells and related diseases.The challenges and future directions of single-cell RNA sequencing in MSCs are also addressed in this review.

Prudent application of single-cell RNA sequencing in understanding cellular features and functional phenotypes in cancer studies

This decade has seen remarkable advances in the field of high-throughput single cell techniques.Single-cell RNA sequencing(sc RNA-seq)has proven to be a powerful strategy to study the heterogeneity in clinical samples,providing an unbiased approach to uncover the characteristics in different cell subsets.To ensure the reproducibility and robustness of biological discoveries,researchers need to be aware of hidden caveats in tissue dissociation,cell capturing and transcripts measurement which may affect cell composition assessment and cellular function annotation.With measured interpretation of data and innovations in experimental and technical approaches,sc RNA-seq can greatly unravel the heterogeneity in complex system and improve our understandings in tissue homeostasis and cancer biology.

Landscape of cell heterogeneity and evolutionary trajectory in ulcerative colitis-associated colon cancer revealed by single-cell RNA sequencing

Objective:The goal of this study was to get preliminary insight on the intra-tumor heterogeneity in colitisassociated cancer(CAC)and to reveal a potential evolutionary trajectory from ulcerative colitis(UC)to CAC at the single-cell level.Methods:Fresh samples of tumor tissues and adjacent UC tissues from a CAC patient with pT3N1M0 stage cancer were examined by single-cell RNA sequencing(scRNA-seq).Data from The Cancer Genome Atlas(TCGA)and The Human Protein Atlas were used to confirm the different expression levels in normal and tumor tissues and to determine their relationships with patient prognosis.Results:Ultimately,4,777 single-cell transcriptomes(1,220 genes per cell)were examined,of which 2,250(47%)and 2,527(53%)originated from tumor and adjacent UC tissues,respectively.We defined the composition of cancer-associated stromal cells and identified six cell clusters,including myeloid,T and B cells,fibroblasts,endothelial and epithelial cells.Notable pathways and transcription factors involved in these cell clusters were analyzed and described.Moreover,the precise cellular composition and developmental trajectory from UC to UCassociated colon cancer were graphed,and it was predicted that CD74,CLCA1,and DPEP1 played a potential role in disease progression.Conclusions:scRNA-seq technology revealed intra-tumor cell heterogeneity in UC-associated colon cancer,and might provide a promising direction to identify novel potential therapeutic targets in the evolution from UC to CAC.

Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data

Tumor tissues contain both tumor and non-tumor cells,which include infiltrated immune cells and stromal cells,collectively called the tumor microenvironment(TME).Single-cell RNA sequencing(sc RNAseq)enables the examination of heterogeneity of tumor cells and TME.In this review,we examined sc RNAseq datasets for multiple cancer types and evaluated the heterogeneity of major cell type composition in different cancer types.We further showed that endothelial cells and fibroblasts/myofibroblasts in different cancer types can be classified into common subtypes,and the subtype composition is clearly associated with cancer characteristic and therapy response.

Single-cell RNA sequencing of mitoticarrested prospermatogonia with DAZL::GFP chickens and revealing unique epigenetic reprogramming of chickens

Background:Germ cell mitotic arrest is conserved in many vertebrates,including birds,although the time of entry or exit into quiescence phase differs.Mitotic arrest is essential for the normal differentiation of male germ cells into spermatogonia and accompanies epigenetic reprogramming and meiosis inhibition from embryonic development to post-hatch.However,mitotic arrest was not well studied in chickens because of the difficulty in obtaining pure germ cells from relevant developmental stage.Results:We performed single-cell RNA sequencing to investigate transcriptional dynamics of male germ cells during mitotic arrest in DAZL::GFP chickens.Using differentially expressed gene analysis and K-means clustering to analyze cells at different developmental stages(E12,E16,and hatch),we found that metabolic and signaling pathways were regulated,and that the epigenome was reprogrammed during mitotic arrest.In particular,we found that histone H3K9 and H3K14 acetylation(by HDAC2)and DNA demethylation(by DNMT3B and HELLS)led to a transcriptionally permissive chromatin state.Furthermore,we found that global DNA demethylation occurred gradually after the onset of mitotic arrest,indicating that the epigenetic-reprogramming schedule of the chicken genome differs from that of the mammalian genome.DNA hypomethylation persisted after hatching,and methylation was slowly re-established 3 weeks later.Conclusions:We found a unique epigenetic-reprogramming schedule of mitotic-arrested chicken prospermatogonia and prolonged hypomethylation after hatching.This will provide a foundation for understanding the process of germ-cell epigenetic regulation in several species for which this process is not clearly described.Our findings on the biological processes related to sex-specific differentiation of prospermatogonia could help studying germline development in vitro more elaborately.

Advances in single-cell sequencing:insights from organ transplantation

Single-cell RNA sequencing(scRNA-seq)is a comprehensive technical tool to analyze intracellular and intercellular interaction data by whole transcriptional profile analysis.Here,we describe the application in biomedical research,focusing on the immune system during organ transplantation and rejection.Unlike conventional transcriptome analysis,this method provides a full map of multiple cell populations in one specific tissue and presents a dynamic and transient unbiased method to explore the progression of allograft dysfunction,starting from the stress response to final graft failure.This promising sequencing technology remarkably improves individualized organ rejection treatment by identifying decisive cellular subgroups and cell-specific interactions.

Progress in Single Cell Sequencing Technology

Cells are the basic unit of life structure and life activities.Because of the complex micro-environment of cells,the content of components that play a key role is relatively small,so single-cell analysis is extremely challenging.In recent years,single-cell sequencing technology has been developed and matured.Single-cell sequencing can reveal the composition and physiological diversity of cells,and the existing single-cell separation technology,single-cell whole genome amplification technology,single The principles and applications of cell whole transcriptome amplification technology and single cell transcriptome sequencing are summarized and summarized.

Investigating intratumour heterogeneity by single-cell sequencing

Intratumour heterogeneity is a longstanding field of focus for both researchers and clinicians. It refers to the diversity amongst cells within the same tumour. Two major hypotheses have attempted to explain the existence of intratumour heterogeneity： （i） the clonal evolution （CE） theory and （ii） the cancer stem cell （CSC） model. CE theory emphasizes the evolutionary biological characteristics of the tumour, underscoring the initiation and progression of the disease. In contrast, the CSC model focuses on stem cell differentiation into distinct functions in order to stabilize the tumour microenvironment. Here we consider single-cell sequencing （SCS） as a newly developed technique for application to the investigation of intratumour heterogeneity and assess its relevance within research and clinical environments. Early detection of rare tumour cells, monitoring of circulating tumour cells （CTCs） and control of the occurrence of drug resistance are imoortant goals in early diagnosis, prognosis prediction and individualized medicine.

Single molecular DNA/RNA sequencing with microscopy

Ultra high-throughput DNA sequencing has been a very hot topic beyond the field of genomic researches.There have been various approaches to this issue ranging from direct observation of individual DNA synthesis[1],amperometric/optical detection of bases using a nanopore[2,3]and direct sequencing with a high-resolution probe microscope[4].Recently,we have developed a technique to chemically modify all nucleobases in DNA[5],so that the bases A,T,G,C can be differentiated in the sequence by using high-resolution electron microscopy(EM).

Extensive exploration of T cell heterogeneity in cancers by single cell sequencing

Human T cells are a highly heterogeneous population and can recognize a wide variety of antigens by their T cell receptors(TCRs). Tumor cells display a large repertoire of antigens that serve as potential targets for recognition,thus making T cells in the tumor micro-environment more complicated. Making a connection between TCRs and the transcriptional information of individual T cells will be interesting for investigating clonal expansion within T cell populations under pathologic conditions. Advances in single cell RNA-sequencing(scRNA-seq) have allowed for comprehensive analysis of T cells. In this review, we briefly describe the research progress on tumor microenvironment T cells using single cell RNA sequencing, and then discuss how scRNA-seq can be used to resolve immune system heterogeneity in health and disease. Finally, we point out future directions in this field and potential for immunotherapy.