single-cell RNA sequencing
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Early identification of resistant cancer cells is currently a major challenge, as their expansion leads to refractoriness. To capture the dynamics of these cells, we made a comprehensive analysis of disease progression and treatment response in a chronic lymphocytic leukemia (CLL) patient using a combination of single-cell and bulk genomic methods. At diagnosis, the patient presented with unfavorable genetic markers, including notch receptor 1 (NOTCH1) mutation and loss(11q). The initial and subsequent treatment lines did not lead to a durable response and the patient developed refractory disease. Refractory CLL cells featured substantial dysregulation in B-cell phenotypic markers such as human leukocyte antigen (HLA) genes, immunoglobulin (IG) genes, CD19 molecule (CD19), membrane spanning 4-domains A1 (MS4A1; previously known as CD20), CD79a molecule (CD79A) and paired box 5 (PAX5), indicating B-cell de-differentiation and disease transformation. We described the clonal evolution and characterized in detail two cell populations that emerged during the refractory disease phase, differing in the presence of high genomic complexity. In addition, we successfully tracked the cells with high genomic complexity back to the time before treatment, where they formed a rare subpopulation. We have confirmed that single-cell RNA sequencing enables the characterization of refractory cells and the monitoring of their development over time.
Single-cell transcriptomics has emerged as a powerful tool to investigate cells' biological landscape and focus on the expression profile of individual cells. Major advantage of this approach is an analysis of highly complex and heterogeneous cell populations, such as a specific subpopulation of T helper cells that are known to differentiate into distinct subpopulations. The need for distinguishing the specific expression profile is even more important considering the T cell plasticity. However, importantly, the universal pipelines for single-cell analysis are usually not sufficient for every cell type. Here, the aims are to analyze the diversity of T cell phenotypes employing classical in vitro cytokine-mediated differentiation of human T cells isolated from human peripheral blood by single-cell transcriptomic approach with support of labelled antibodies and a comprehensive bioinformatics analysis using combination of Seurat, Nebulosa, GGplot and others. The results showed high expression similarities between Th1 and Th17 phenotype and very distinct Th2 expression profile. In a case of Th2 highly specific marker genes SPINT2, TRIB3 and CST7 were expressed. Overall, our results demonstrate how donor difference, Th plasticity and cell cycle influence the expression profiles of distinct T cell populations. The results could help to better understand the importance of each step of the analysis when working with T cell single-cell data and observe the results in a more practical way by using our analyzed datasets.
Single-cell RNA-seq methods can be used to delineate cell types and states at unprecedented resolution but do little to explain why certain genes are expressed. Single-cell ATAC-seq and multiome (ATAC + RNA) have emerged to give a complementary view of the cell state. It is however unclear what additional information can be extracted from ATAC-seq data besides transcription factor binding sites. Here, we show that ATAC-seq telomere-like reads counter-inituively cannot be used to infer telomere length, as they mostly originate from the subtelomere, but can be used as a biomarker for chromatin condensation. Using long-read sequencing, we further show that modern hyperactive Tn5 does not duplicate 9 bp of its target sequence, contrary to common belief. We provide a new tool, Telomemore, which can quantify nonaligning subtelomeric reads. By analyzing several public datasets and generating new multiome fibroblast and B-cell atlases, we show how this new readout can aid single-cell data interpretation. We show how drivers of condensation processes can be inferred, and how it complements common RNA-seq-based cell cycle inference, which fails for monocytes. Telomemore-based analysis of the condensation state is thus a valuable complement to the single-cell analysis toolbox.
- MeSH
- analýza jednotlivých buněk * metody MeSH
- B-lymfocyty metabolismus cytologie MeSH
- buněčný cyklus * genetika MeSH
- ChiP sekvenování metody MeSH
- chromatin * metabolismus chemie genetika MeSH
- fibroblasty metabolismus cytologie MeSH
- lidé MeSH
- sekvenování transkriptomu metody MeSH
- telomery * genetika MeSH
- vazebná místa MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
We aimed to explore the development and cell communication of osteoblasts and osteoclasts with aneuploidy variation in giant cell tumour of bone (GCTB). We predicted the diploid and aneuploid cells in tissue samples using the CopyKAT package. The Monocle2 package was used to analyse differentiation trajectories of aneuploid cells. We used the CellChat package to observe the signalling pathways and ligand-receptor pairs for the two interaction types, "Cell-Cell Contact" and "Secreted Signalling", respectively. A total of 9,117 cells were obtained including eight cell types. Most aneuploid cells were osteoblasts. As the cell differentiation trajectory matured, we found that aneuploid osteoblasts first increased the inflammatory response activity and then enhanced the ability to activate T cells, whereas osteoclasts gradually enhanced the cellular energy metabolism, cell adhesion, cell proliferation and immune response; the activated biological functions were gradually weakened. The analysis by CellChat indicated that CTLA4 or TIGIT might act as important immune checkpoint genes to attenuate the inhibitory effect of aneuploid osteoclasts on NK/T cells, thereby enhancing the activity of NK/T cells. Our study found that both osteoblasts and osteoclasts might be involved in the development of GCTB, which may provide a new direction for the treatment of GCTB.
- MeSH
- analýza jednotlivých buněk * MeSH
- aneuploidie * MeSH
- buněčná diferenciace genetika MeSH
- lidé MeSH
- mezibuněčná komunikace * genetika MeSH
- nádory kostí genetika patologie metabolismus MeSH
- obrovskobuněčný nádor kosti * genetika patologie MeSH
- osteoblasty * metabolismus MeSH
- osteoklasty * metabolismus patologie MeSH
- sekvenční analýza RNA metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Biologická terapie, jejímž mechanizmem účinku je použití monoklonálních protilátek proti nějakému proteinu, je používána v klinické praxi již řadu let. V současné době ale vstupují do klinické praxe nové léky ze skupiny biologické terapie, které účinkují na principu RNA-interference. RNA-interference je proces, kterým buňky všech živých organizmů regulují expresi svých genů a při kterém může být zastaven přenos informace o syntéze konkrétního proteinu mezi DNA a ribosomy. Pro terapeutické účely se tohoto efektu dosahuje podáním umělých syntetizovaných oligonukleotidů s přesně danou sekvencí nukleosidů. Jde buď o krátké úseky dvouvláknové RNA, nebo o jednovláknové oligonukleotidy. Pro klinické využití byla nutná pro zvýšení jejich stability a odstranění některých nežádoucích účinků jejich chemická modifikace, a dále pak vazba na další substance, které umožní jejich cílený transport do požadované tkáně. Celá řada těchto léků je již v pokročilých fázích klinických studií a některé z nich vstupují na farmaceutický trh.
Biological therapy, whose mechanism of action is the use of monoclonal antibodies against a protein, has been used in clinical practice for many years. However, new drugs from the group of biological therapies that act on the principle of RNA interference are now entering clinical practice. RNA interference is the process by which cells in all living organisms regulate the expression of their genes, and in which the transfer of information about the synthesis of a particular protein between DNA and ribosomes can be stopped. For therapeutic purposes, this effect is achieved by administering artificially synthesized oligonucleotides – short chains of RNA with a precise nucleoside sequence. These are either short stretches of double- stranded RNA or single-stranded oligonucleotides. For clinical use, their chemical modification was necessary to increase their stability and remove some of their side effects, and then binding to other substances to allow their targeted transport to the desired tissue. A number of these drugs are already in advanced stages of clinical trials, and some are entering the pharmaceutical market.
UNLABELLED: In an attempt to explore infectious agents associated with nasopharyngeal carcinomas (NPCs), we employed our high-throughput RNA sequencing (RNA-seq) analysis pipeline, RNA CoMPASS, to investigate the presence of ectopic organisms within a number of NPC cell lines commonly used by NPC and Epstein-Barr virus (EBV) researchers. Sequencing data sets from both CNE1 and HONE1 were found to contain reads for human papillomavirus 18 (HPV-18). Subsequent real-time reverse transcription-PCR (RT-PCR) analysis on a panel of NPC cell lines identified HPV-18 in CNE1 and HONE1 as well as three additional NPC cell lines (CNE2, AdAH, and NPC-KT). Further analysis of the chromosomal integration arrangement of HPV-18 in NPCs revealed patterns identical to those observed in HeLa cells. Clustering based on human single nucleotide variation (SNV) analysis of two separate HeLa cell lines and several NPC cell lines demonstrated two distinct clusters with CNE1, as well as HONE1 clustering with the two HeLa cell lines. In addition, duplex-PCR-based genotyping showed that CNE1, CNE2, and HONE1 do not have a HeLa cell-specific L1 retrotransposon insertion, suggesting that these three HPV-18(+) NPC lines are likely products of a somatic hybridization with HeLa cells, which is also consistent with our RNA-seq-based gene level SNV analysis. Taking all of these findings together, we conclude that a widespread HeLa contamination may exist in many NPC cell lines, and authentication of these cell lines is recommended. Finally, we provide a proof of concept for the utility of an RNA-seq-based approach for cell authentication. IMPORTANCE: Nasopharyngeal carcinoma (NPC) cell lines are important model systems for analyzing the complex life cycle and pathogenesis of Epstein-Barr virus (EBV). Using an RNA-seq-based approach, we found HeLa cell contamination in several NPC cell lines that are commonly used in the EBV and related fields. Our data support the notion that contamination resulted from somatic hybridization with HeLa cells, likely occurring at the point of cell line establishment. Given the rarity of NPCs, the long history of NPC cell lines, and the lack of rigorous cell line authentication, it is likely that the actual prevalence and impact of HeLa cell contamination on the EBV field might be greater. We therefore recommend cell line authentication prior to performing experiments using NPC cell lines to avoid inaccurate conclusions. The novel RNA-seq-based cell authentication approach reported here can serve as a comprehensive method for validating cell lines.
- MeSH
- genom * MeSH
- HeLa buňky chemie MeSH
- kontaminace DNA MeSH
- lidé MeSH
- nádorové buněčné linie chemie MeSH
- nádory nosohltanu genetika MeSH
- polymerázová řetězová reakce MeSH
- sekvenční analýza RNA MeSH
- vysoce účinné nukleotidové sekvenování MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Research Support, N.I.H., Extramural MeSH
Single-cell RNA sequencing (scRNA-seq) methods are widely used in life sciences, including immunology. Typical scRNA-seq analysis pipelines quantify the abundance of particular transcripts without accounting for alternative splicing. However, a well-established pan-leukocyte surface marker, CD45, encoded by the PTPRC gene, presents alternatively spliced variants that define different immune cell subsets. Information about some of the splicing patterns in particular cells in the scRNA-seq data can be obtained using isotype-specific DNA oligo-tagged anti-CD45 antibodies. However, this requires generation of an additional sequencing DNA library. Here, we present IDEIS, an easy-to-use software for CD45 isoform quantification that uses single-cell transcriptomic data as the input. We showed that IDEIS accurately identifies canonical human CD45 isoforms in datasets generated by 10× Genomics 5' sequencing assays. Moreover, we used IDEIS to determine the specificity of the Ptprc splicing pattern in mouse leukocyte subsets.
- MeSH
- alternativní sestřih MeSH
- analýza jednotlivých buněk metody MeSH
- antigeny CD45 * genetika metabolismus MeSH
- leukocyty metabolismus imunologie MeSH
- lidé MeSH
- myši MeSH
- protein - isoformy genetika MeSH
- sekvenční analýza RNA metody MeSH
- software * MeSH
- stanovení celkové genové exprese metody MeSH
- transkriptom MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
The immune system is a complex and sophisticated biological system, spanning multiple levels of complexity, from the molecular level to that of tissue. Our current understanding of its function and complexity, of the heterogeneity of leukocytes, is a result of decades of concentrated efforts to delineate cellular markers using conventional methods of antibody screening and antigen identification. In mammalian models, this led to in-depth understanding of individual leukocyte subsets, their phenotypes, and their roles in health and disease. The field was further propelled forward by the development of single-cell (sc) RNA-seq technologies, offering an even broader and more integrated view of how cells work together to generate a particular response. Consequently, the adoption of scRNA-seq revealed the unexpected plasticity and heterogeneity of leukocyte populations and shifted several long-standing paradigms of immunology. This review article highlights the unprecedented opportunities offered by scRNA-seq technology to unveil the individual contributions of leukocyte subsets and their crosstalk in generating the overall immune responses in bony fishes. Single-cell transcriptomics allow identifying unseen relationships, and formulating novel hypotheses tailored for teleost species, without the need to rely on the limited number of fish-specific antibodies and pre-selected markers. Several recent studies on single-cell transcriptomes of fish have already identified previously unnoticed expression signatures and provided astonishing insights into the diversity of teleost leukocytes and the evolution of vertebrate immunity. Without a doubt, scRNA-seq in tandem with bioinformatics tools and state-of-the-art methods, will facilitate studying the teleost immune system by not only defining key markers, but also teaching us about lymphoid tissue organization, development/differentiation, cell-cell interactions, antigen receptor repertoires, states of health and disease, all across time and space in fishes. These advances will invite more researchers to develop the tools necessary to explore the immunology of fishes, which remain non-conventional animal models from which we have much to learn.
Ticks are hematophagous arthropods that use a complex mixture of salivary proteins to evade host defenses while taking a blood meal. Little is known about the immunological and physiological consequences of tick feeding on humans. Here, we performed the first bulk and single-nucleus RNA sequencing (snRNA-seq) of skin and blood of four persons presenting with naturally acquired, attached Ixodes scapularis ticks. Pathways and individual genes associated with innate and adaptive immunity were identified based on bulk RNA sequencing, including interleukin-17 signaling and platelet activation pathways at the site of tick attachment or in peripheral blood. snRNA-seq further revealed that the Hippo signaling, cell adhesion, and axon guidance pathways were involved in the response to an I. scapularis bite in humans. Features of the host response in these individuals also overlapped with that of laboratory guinea pigs exposed to I. scapularis and which acquired resistance to ticks. These findings offer novel insights for the development of new biomarkers for I. scapularis exposure and anti-tick vaccines for human use.
- MeSH
- klíště * genetika MeSH
- kousnutí klíštětem * MeSH
- lidé MeSH
- morčata MeSH
- RNA malá jaderná MeSH
- sekvence nukleotidů MeSH
- stravovací zvyklosti fyziologie MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- morčata MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Genotypic and morphological diversity of cyanobacteria in the Rupite hot spring (Bulgaria) was investigated by means of optical microscopy, cultivation, single-cell PCR, and 16S rRNA gene amplicon sequencing. Altogether, 34 sites were investigated along the 71-39 °C temperature gradient. Analysis of samples from eight representative sites shown that Illumina, optical microscopy, and Roche 454 identified 72, 45 and 19% respective occurrences of all cumulatively present taxa. Optical microscopy failed to detect species of minor occurrence; whereas, amplicon sequencing technologies suffered from failed primer annealing and the presence of species with extensive extracellular polysaccharides production. Amplicon sequencing of the 16S rRNA gene V5-V6 region performed by Illumina identified the cyanobacteria most reliably to the generic level. Nevertheless, only the combined use of optical microscopy, cultivation and sequencing methods allowed for reliable estimate of the cyanobacterial diversity. Here, we show that Rupite hot-spring system hosts one of the richest cyanobacterial flora reported from a single site above 50 °C. Chlorogloeopsis sp. was the most abundant at the highest temperature (68 °C), followed by Leptolyngbya boryana, Thermoleptolyngbya albertanoae, Synechococcus bigranulatus, Oculatella sp., and Desertifilum sp. thriving above 60 °C, while Leptolyngbya geysericola, Geitlerinema splendidum, and Cyanobacterium aponinum were found above 50 °C.
