ICELL8 citations
Our collaborators and customers are constantly making scientific breakthroughs. Here are the latest published results obtained using ICELL8 technology.
2021
Iacobucci, I. et al. Modeling and targeting of erythroleukemia by hematopoietic genome editing. Blood 137.12, 1628-1640 (2021).
In this paper, researchers at St. Jude Children’s Research Hospital used the ICELL8 Single-Cell System’s SMART-Seq chemistry together with combinatorial genome editing to characterize acute erythroid leukemia (AEL)—a rare, aggressive form of acute myeloid leukemia (AML) associated with poor prognosis, uncertain genetic basis, and controversy surrounding the diagnosis. The group's preclinical models illustrate that combinatorial mutation patterns are associated with drug sensitivity in erythroleukemia, with implications to advance cancer therapeutics.
Liu, L. et al. Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics. Microfluid Nanofluidics 25.11, 1-19 (2021).
In this study, researchers in Beijing, China examined three single-cell microfluidic technologies, in terms of single-cell isolation, single-cell lysis, amplification, and analysis. Their comparison notes how the ICELL8 cx’s nanowell technology can automate easy-to-use microwell-based methods through the integration of dispense, real-time monitoring, and analysis.
Magi, S. et al. A combination approach of pseudotime analysis and mathematical modeling for understanding drug-resistant mechanisms. Scientific reports 11.1, 1-13 (2021).
In this study, researchers at Osaka University combined single-cell RNA-seq analysis of breast cancer cells with mathematical models to better understand the process behind drug resistance acquisition. They performed scRNA-seq with the ICELL8 system to examine transcriptional changes in MCF-7 cells related to tamoxifen (TAM) resistance. Using their model, they were able to predict and validate that inhibiting the transition to resistant subtypes would prevent the appearance of tamoxifen resistance.
Meers, M. P. et al. Multifactorial chromatin regulatory landscapes at single cell resolution. bioRxiv 2021.07.08.451691 (2021).
In this study, researchers at the Fred Hutchinson Cancer Research Center developed the Multiple Target Identification by Tagmentation (MulTI-Tag) method on the ICELL8 Single-Cell System. This multifactorial profiling approach can detect and compare distinct chromatin-associated proteins within the same sample, and is optimized to retain high sensitivity and specificity for multiple chromatin targets within the same cell. The sequencing result obtained by the MulTI-Tag method can be used for comprehensive cell type characterization, as well as the discovery of novel histone associations related to gene regulation development and disease.
Schlusche, A. K. et al. Developmental HCN channelopathy results in decreased neural progenitor proliferation and microcephaly in mice. bioRxiv 2021.04.24.441237 (2021).
In this paper, researchers at the University of Cologne and German Center for Neurodegenerative Diseases (DZNE) examined the importance of ion channel functions in mouse neural stem cells. The ICELL8 Single-Cell System was used by the group to detect clear clusters of subunits (Hcn1-4) in order to ultimately suggest a novel role for HCN (hyperpolarization-activated cyclic nucleotide-gated cation) channels. Their findings show cell-cycle regulation of neural stem and progenitor cells has implications for cortical development and can cause brain malformations like microcephaly when impaired.
Schmidt, J. et al. Biallelic variants in YRDC cause a developmental disorder with progeroid features. Human genetics 140.1, pages1679–1693 (2021).
Researchers at University Medical Center Göttingen utilized the SMART-Seq ICELL8 cx application to study the effect of the homozygous p.Ile221Thr mutation in YRDC. scRNA-seq was performed on patient fibroblasts to study changes in gene expression at the cellular level. Together with other functional analyses, researchers suggest that the biallelic mutant YRDC is linked to developmental disorders like segmental progeroid syndromes, and could result in defective tRNA modification, telomere shortening and increased genomic instability.
Shomroni, O. et al. A novel single-cell RNA-sequencing platform and its applicability connecting genotype to phenotype in ageing-disease. Scientific Reports [This preprint is under consideration] (2021).
In this study, researchers at University Medical Center Göttingen looked at dermal fibroblasts from six patients with different segmental progeria syndromes. The researchers took a novel approach, combining the ICELL8 system with advanced cell sorting technology to further increase the number of cells per experiment using a single full-length scRNA-seq workflow. Their findings show how the technology can be used to further define pathways and expression related to ageing disorders.
Zowada, M. K. et al. Functional States in Tumor-Initiating Cell Differentiation in Human Colorectal Cancer. Cancers 13.5, 1097 (2021).
In this paper, researchers from the National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ) Heidelberg, Germany characterized colorectal cancer (CRC) cells by comparing them to normal intestinal epithelial cell populations using the using the ICELL8 Single-Cell System. Physiological and pathological subpopulations were found to exhibit differential patterns in cell growth and energy metabolism, linked to CRC tumor-initiating activity.
2020
Jackson, N. D. et al. Single-cell and population transcriptomics reveal pan-epithelial remodeling in type 2-high asthma. Cell Reports 32.1, 107872 (2020).
In this paper, researchers at National Jewish Health, California demonstrated how allergic asthma fundamentally changes the human airway, making it difficult for nasal epithelial cells to remove pollutants and fight infection. Using the ICELL8 Single-Cell System for scRNA-seq, they were able to examine cells stimulated by IL-13, a key signaling protein for allergic asthma. Their results suggest therapeutic strategies towards restoring normal epithelial function.
Kobayashi, S. et al. Integrated bulk and single-cell RNA-sequencing identified disease-relevant monocytes and a gene network module underlying systemic sclerosis. J. Autoimmun. 102547 (2020).
Researchers from the University of Tokyo’s Department of Allergy and Rheumatology leveraged the ICELL8 Single-Cell System to integrate bulk and single-cell RNA-sequencing to identify disease-related monocytes and a gene network underlying systemic sclerosis (SSc). These monocyte clusters can potentially be novel candidate targets for SSc therapies.
Krieger, T. G. et al. Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics. Neuro. Oncol. 22, 1138–1149 (2020).
Researchers at the German Cancer Research Center (DKFZ) discuss their experimental model for glioblastoma (GBM) using a scaffold of human cerebral organoids. Confocal microscopy was combined with scRNA-seq of GBM cells before and after co-culture with organoid cells, and the ICELL8 Single-Cell System produced images of the mixed spheroids.
Litjens, N. H. R. et al. Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples. Front. Immunol. 11, 1999 (2020).
In this study, researchers sought to combine transcriptomics with TRA and TRB clonotype data at the single-cell level, specifically looking at ways to analyze clinical samples with sparse cell distribution. The ICELL8 Single-Cell System was used successfully in this approach with two different cell lines, using clinical samples enriched for CD3+ T cells, leading to distinct transcriptome profiles. The findings can facilitate future studies to examine the response of single T cells in heterogeneous samples, and lead to improved treatments.
Ren, Z. et al. Single-cell reconstruction of progression trajectory reveals intervention principles in pathological cardiac hypertrophy. Circulation (2020).
Researchers at Fuwai Hospital used the ICELL8 Single-Cell System to better understand the importance of cell type to adult human heart function, particularly with regards to cardiac hypertrophy. The heart consists of multiple cell types that exhibit diverse biological behaviors in cardiac disorders. Knowledge of the roles the various cell types play during progression from healthy to hypertrophic states had previously been very limited. The researchers were able to characterize both cardiomyocyte and non-cardiomyocyte cells using the ICELL8 system's nanodispenser and cell viability detection capabilities. Their analysis revealed a dynamically changing cell type crosstalk during pathological cardiac hypertrophy and shed light on possible intervention strategies.
Schoger, E. et al. CRISPR-mediated activation of endogenous gene expression in the postnatal heart Circulation research 126.1, 6-24 (2020).
In this study, researchers at University of Gottingen and UT Southwestern Medical Center tested a mouse model for cardiomyocyte-specific, CRISPR-mediated transcriptional modulation, and demonstrated its versatility by targeting two well-characterized genes related to cardiact hypertrophy and homeostasis, Mef2d and Klf15 loci, for enhanced transcription. The ICELL8 cx system was used for library preparation using the SMART-Seq workflow. Their proof-of-concept suggests versatile applications for controlling transcription of cardiomyocytes of the postanatal heart.
Sunaga-Franze, D. Y. et al. Single-nuclei RNA-sequencing of plants. bioRxiv 2020.11.14.382812 (2020).
In this paper, researchers at MDC Berlin introduce a new technique for the isolation and sequencing of plant-nuclei (PN-seq). The ICELL8 Single-Cell System’s nanowell-based approach led to identification of co-regulated genes and the understanding of gene networks. Their work contributes to the expansion of current plant cell atlas information, and applies to a broad range of diverse, complex plant tissues.
Wang, L. et al. Single-cell reconstruction of the adult human heart during heart failure and recovery reveals the cellular landscape underlying cardiac function. Nat. Cell Biol. 22, 108–119 (2020).
The fragility of cardiomyocytes has posed challenges in the development of cellular maps for the adult human heart, making it difficult to characterize cellular behaviors related to cardiac function. Using the ICELL8 Single-Cell System to overcome these limitations, researchers at Fuwai Hospital in Beijing were able to identify differentially expressed genes in cardiomyocytes. Their success was due, in large part, to the ICELL8 system's large-bore MultiSample NanoDispenser, capable of gentle dispensing of large cell types, including cardiomyocytes. Using the ICELL8 system along with 3' DE nanowell chips, they were able to properly capture, visualize, and study >12,000 cells across 14 donors. Their systematic analysis of cellular compositions and cell-cell interaction networks showed that cardiomyocyte contractility and metabolism are highly correlated with changes in heart function.
Wang, Y. et al. Single-cell analysis of murine fibroblasts identifies neonatal to adult switching that regulates cardiomyocyte maturation. Nature Communications 11, 2585 (2020).
In this paper, researchers from Fuwai Hospital identified the role of cardiac fibroblasts in promoting cardiomyocyte maturation and proposed how this may impact disease progression and regeneration. Their method included scRNA-seq to generate transcriptomic profiles for thousands of mouse cardiac cells at various postnatal developmental stages with ICELL8 Single-Cell System. Their findings suggest important pathways that could be exploited for regulatory purposes.
Wu, L. et al. High-throughput Single-cell CNV Detection Reveals Clonal Evolution During Hepatocellular Carcinoma Recurrence. bioRxiv 2020.12.09.417626 (2020).
In this paper, researchers at BGI Shenzen, China looked at lymphoblastic cell lines using the ICELL8 Single-Cell System to detect copy number variants (CNVs). Unlike traditional bulk methods that can often obscure critical information, the researchers instead opted for single-cell analysis, allowing them to investigate intercellular genetic heterogeneity in greater detail. Their method offers a comprehensive and scalable solution to understand the heterogeneity and evolution of cancers like hepatocellular carcinoma (HCC).
Wu, S. J. et al. Single-cell analysis of chromatin silencing programs in developmental and tumor progression. bioRxiv 2020.09.04.282418 (2020).
In this paper, researchers set out to develop a scalable framework for assaying silenced chromatin. They used a single-cell platform variation of CUT&Tag (scCUT&Tag) to develop chromatin landscapes of complex tissues. The imaging capabilities of the ICELL8 Single-Cell System greatly simplified QC by removing doublets and wells with empty or multiple cells. Their work can help to decode the epigenetic processes behind gene expression, leading to a better understanding of disease states in heterogeneous cell populations.
Yamada, S. & Nomura, S. Review of Single-Cell RNA Sequencing in the Heart. Int. J. Mol. Sci. 21, 8345 (2020).
In this publication, cardiovascular researchers from the University of Tokyo review various scRNA-seq platforms, with a particular emphasis on cardiovascular disease research applications. They found the large-bore nozzle dispenser of the ICELL8 Single-Cell System highly valuable for its ability to distribute single cardiomyocyte cells from dilute cell suspensions.
2019
Kaya-Okur, H. S. et al. CUT&Tag for efficient epigenomic profiling of small samples and single cells. bioRxiv 568915 (2019).
This publication describes the development of a novel high-throughput epigenetics assay termed CUT&Tag that allows for high-resolution chromatin mapping. The CUT&Tag method was developed by making modifications to the researchers' preexisting CUT&RUN enzyme-tethering technique for obtaining transcription-factor-bound DNA complexes for sequencing. The modifications were focused on allowing the development of PCR-enrichment-ready fragments which significantly boosted the sensitivity range of the assay and allowed its adoption to single-cell analysis. For the single-cell CUT&Tag, the researchers took advantage of the ICELL8 Single-Cell System's ability to gently dispense samples and imaging capability to process permeabilized cells that were pretreated with antibodies necessary for the assay. Additionally, the method was simplified by the ability to individually index single cells via the SmartChip array, which would otherwise have required individually barcoded Tn5 complexes.
Kim, S. et al. Generation, transcriptome profiling, and functional validation of cone-rich human retinal organoids. PNAS 116, 10824–10833 (2019).
Although stem cell-derived organoids are emerging as powerful disease modeling tools, thorough transcriptional profiling and functional validation of these models are still required for many fields. The authors of this study were interested in establishing cone-rich retinal organoids as models for human macula/fovea. The ICELL8 Single-Cell System's ability to dispense cells and nuclei was used for capture from organoid and nuclear (for macula) suspensions, and the generation of scRNA-seq libraries. The system's imaging capability was also utilized for quality control to select true single live cells or single nuclei while eliminating wells with clumps or debris. The transcriptome profiles of 1,130 single cells, derived from 8-month-old retinal organoids, revealed cone enrichment consistent with microscopy analysis and confirmed the presence of well-known cell-specific markers for observed cell types within the organoid. Furthermore, the single-cell transcriptomes indicated a high concordance between matching cell types in the retinal organoids and human macula.
Krieger, T. G. et al. Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics. bioRxiv 630202 (2019).
Human cerebral organoids can be used as a scaffold to study glioblastoma cell invasion. In this study, the researchers performed scRNA-seq on patient-derived glioblastoma multiforme (GBM) cells before and after co-culture with human cerebral organoid cells using the ICELL8 Single-Cell System. This allowed them to identify 45 genes that were upregulated in all four patient-derived cell lines during invasion, including genes involved with growth regulation, neuronal migration, extracellular secretion, and stimulus response.
Yekelchyk, M., Guenther, S., Preussner, J. & Braun, T. Mono- and multi-nucleated ventricular cardiomyocytes constitute a transcriptionally homogenous cell population. Basic Res. Cardiol. 114, 36 (2019).
In this study, scientists from the Max Planck Institute for Heart and Lung Research used the ICELL8 Single-Cell System to perform scRNA-seq on mono- and multi-nucleated adult cardiomyocytes under baseline conditions and in pressure-induced hypertrophy. The ICELL8 system provided the researchers with two distinct capabilities not available in droplet-based systems. First, the large-bore nozzle of the dispenser allowed for the isolation of intact, single adult cardiomyocytes which are typically too large for other methods. Second, the unique ability to image each well and tie the sequencing data back to the processed cells allowed the researchers to identify damaged cells whose analysis was introducing nonbiological artifacts. scRNA-seq revealed that although mono- and multi-nucleated rod-shaped adult cardiomyocytes had similar transcriptomes under baseline conditions, this homogeneity was lost after being subjected to pressure-induced hypertrophy.
Zhang, H. et al. MLL1 inhibition and vitamin D signaling cooperate to facilitate the expanded pluripotency state. Cell Rep. 29, 2659–2671.e6 (2019).
To study how inhibition of MLL1, an H3K4 methyltransferase, can affect the cell fate of embryonic stem cells (ESCs), scientists at the University of Michigan studied heterogeneity of ESCs by examining their gene expression changes with single-cell resolution. The ICELL8 Single-Cell System's ability to dispense cells of different sizes in a gentle manner was used to deposit single cells into nanowells for downstream library prep. Furthermore, with the ICELL8 system's CellSelect Software, only high-quality single-cell candidates were included in cDNA synthesis (4,413 out of 4,610 single cells qualified for further analysis). The resolution of the gene expression changes detected was significant enough that the scientists could define heterogeneity upon MLL1 inhibition based on the differential expression of genes representative of state I or state II ESCs.
Zhou, Z. et al. Genetic heterogeneity profiling by single cell RNA sequencing. bioRxiv 457622 (2019).
In this study, researchers at the University of Pennsylvania propose DENDRO, an analysis method for scRNA-seq data that clusters single cells into genetically distinct subclones along with phylogenetic tree reconstruction. They applied DENDRO to a mouse melanomal model in response to immunotherapy. The ICELL8 cx was used with the full-length SMART-Seq workflow to examine hundreds of CD45 tumor cells and helped show how neoantigens play a part in treatment response.
2018
Bergiers, I. et al. Single-cell transcriptomics reveals a new dynamical function of transcription factors during embryonic hematopoiesis. Elife 7, e29312 (2018).
Researchers from the European Molecular Biology Laboratory describe applying single-cell transcriptomics to characterize complex transcription factor dynamics during embryonic hematopoiesis in mouse endothelium in this study. The ICELL8 Single-Cell System was used to isolate and process i8TF embryonic stem cells for single-cell RNA sequencing to understand the gene regulatory network. Overall the researchers identified seven transcription factors whose co-expression was specific to pre-hematopoietic stem and progenitor cells. Furthermore, within this heptad, Erg and Fli1 promoted an endothelial cell fate, while Runx1 and Gata2 promoted a hematopoietic fate.
Kim, C. et al. Chemoresistance evolution in triple-negative breast cancer delineated by single-cell sequencing. Cell 173, 879–893.e13 (2018).
This study describes a model for chemoresistance evolution in triple-negative breast cancer (TNBC) in response to neoadjuvant chemotherapy (NAC). A combination of single-cell DNA and RNA sequencing was used for the overall study. The ICELL8 Single-Cell System was used to extract nuclei from frozen longitudinal samples from TNBC patients treated with NAC. RNA-seq was performed to profile the transcriptomes of 3,370 single nuclei from patients with clonal extinction. The ICELL8 system allowed an average of ~500 nuclei to be examined from patients with clonal extinction, resulting in 1.2 million reads and 4,107 genes detected per cell. Additionally, an average ~400 nuclei were analyzed from patients with clonal persistence, resulting in 1.2 million reads and 5,166 genes detected per well.
Liang, Q. et al. Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling. bioRxiv 468207 (2018).
This paper presents the first single-nuclei, RNA-seq-based transcriptomic study on human neural retinal tissue. As an alternative to single-cell RNA-seq, this method is more practical for human tissue study, as it can be applied to frozen neuronal tissue. Single nuclei capture was performed on the ICELL8 Single-Cell System and automated well selection was performed using the included CellSelect Software. The authors sequenced 6,544 nuclei from six samples and, on average, 31,783 mapped reads were obtained per nucleus. Single-nuclei profiles showed good correlation with bulk RNA-seq of the same sample, and cell type profiles also displayed consistency with published human retinal cell markers.
Massaia, A et al. Single Cell Gene Expression to Understand the Dynamic Architecture of the Heart. Frontiers in Cardiovascular Medicine 5, 167 (2018).
In this review article, researchers from the British Heart Foundation Center and the Wellcome Trust Sanger Institute discuss guidelines for designing single-cell experiments. The need for an automation system, like the ICELL8 Single-Cell System, that can work with cardiomyocytes and other similar large cells is highlighted. Such tools can lead to significant advancements in single-cell transcriptomics and contribute to outstanding exploratory and functional studies of cardiac development and disease models.
Mezger, A. et al. High-throughput chromatin accessibility profiling at single-cell resolution. Nat. Commun. 9, 3647 (2018).
To measure the physical accessibility of DNA in whole cells, the researchers developed a single-cell-based assay for transposase-accessible chromatin using sequencing (scATAC-seq). The method takes advantage of the ICELL8 Single-Cell System open platform system, and nanowell-based chips to improve throughput by nearly 20-fold compared to microfluidic systems. An additional benefit of this high-throughput workflow was the reduced cost per cell (~$0.98).
Tirier, S. M. et al. Pheno-seq - linking 3D phenotypes of clonal tumor spheroids to gene expression. bioRxiv 311472 (2018).
For this study, researchers at the German Cancer Research Center (DKFZ) leveraged the ICELL8 Single-Cell System for a high-throughput pheno-seq workflow. The system enabled the automated dispensing and confocal imaging of recovered spheroids in barcoded ICELL8 nanowell chips. The custom-developed workflow illustrates the open nature of the ICELL8 workflow for which modified image analysis and lysis procedures were developed to accommodate pheno-seq analysis. They were able to successfully demonstrate the correlation of morphological characteristics with the transcriptional profiles, noting that profiling single-spheroids increases sensitivity compared to single-cell analysis of tumor cells (identification of key transcripts missed by scRNA-seq).
Yang, S. H. et al. ZIC3 controls the transition from naïve to primed pluripotency. bioRxiv 435131 (2018).
The authors examined chromatin accessibility changes accompanying the early transition of mouse ESCs from naïve state to epiblast-like cells (EpiLCs). Single-cell RNA-seq was performed on the ICELL8 Single-Cell System using cryogenically frozen cells. A custom script was used to perform assignment and error correction of UMIs, trimming of low-quality reads, and to run checks for cross-species contamination. Expression analysis identified ZIC3 as an important regulatory transcription factor in the establishment and maintenance of the EpiLC state.
2017
Aarts, M. et al. Coupling shRNA screens with single-cell RNA-seq identifies a dual role for mTOR in reprogramming-induced senescence. Genes Dev. 31, 2085–2098 (2017).
By carrying out single-cell RNA-seq and shRNA screening in parallel, the speed at which gene candidates from such functional screenings can be identified and validated can be significantly increased. The authors of this study investigated mediators of reprogramming-induced senescence. After an initial shRNA screen identified four candidate genes (MTOR, CDKN1A, MYOT, and UBE2E1) whose knockdown bypassed reprogramming-induced senescence, the ICELL8 Single-Cell System was used to prepare RNA-seq libraries on cells infected with shRNAs targeting each of these candidates. Further investigation revealed that mTOR inhibition has an antagonistic effect during cellular reprogramming. The ICELL8 platform's flexible cell-size isolation and its available sensitive library preparation chemistries were key to accelerating discovery from the screening process by simultaneously allowing shRNA identification and transcriptome analysis from the RNA-seq data of the processed single cells.
Gao, R. et al. Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer. Nat. Commun. 8, 228 (2017).
The researchers utilized the ICELL8 Single-Cell System to demonstrate strong concordance between transcriptional profiling data generated from single cells and nuclei obtained from a cancer cell line. Common single-cell RNA-seq protocols for transcriptome analysis are incompatible with cancer cells derived from flash frozen archival tissue specimens because the preservation process disrupts the cell membranes. The ICELL8 platform's flexibility to allow isolation of nuclei and fixed frozen cells enabled the generation of representative, high-quality RNA-seq data from the samples. This method provides a powerful new solution for working with archival samples because nuclear membranes are not usually disrupted by freeze-thaw cycles. In the article, the authors state that "transcriptome profiles of nuclei are highly representative of whole cells, and can be used to study many cancer genes and signaling pathways."
Goldstein, L. D. et al. Massively parallel nanowell-based single-cell gene expression profiling. BMC Genomics 18, 519 (2017).
In this study, RNA-seq was performed to profile the transcriptomes of single cells derived from cultured cells and complex tissues. Using the ICELL8 Single-Cell System, the researchers were able to discriminate profiles obtained from a mixture of human and mouse cells processed on a single chip, as demonstrated by a low multiplet rate (<3%). Furthermore, minimal cross-contamination was observed in this experiment as indicated by the high single-cell purity (94–97%). Other findings show the ability to distinguish representative cell types within mouse pancreatic islet samples. The ICELL8 platform's imaging capabilities for identifying single-cell-containing wells from empty and multiple-cell-containing wells was crucial for ensuring the high single-cell purity and low multiplet rate observed in this study.
Hochgerner, H. et al. STRT-seq-2i: dual-index 5ʹ single cell and nucleus RNA-seq on an addressable microwell array. Sci. Rep. 7, 16327 (2017).
The researchers developed the STRT-seq-2i method, a 9,600-microwell array platform compatible with adapted STRT-seq chemistry that allows dual indexing. First, cells are sorted by limiting dilution or FACS. Taking advantage of the high-throughput dispensing of the ICELL8 Single-Cell System, the cells are then dispensed to the microwell plate. The imaging capabilities of the ICELL8 system then allowed for the verification of true single-cell wells. This method allowed a high degree of flexibility for performing STRT-seq-2 at a competitive cost.
2015
Wu, L. et al. Full-length single-cell RNA-seq applied to a viral human cancer: applications to HPV expression and splicing analysis in HeLa S3 cells. Gigascience 4, 51 (2015).
The authors of this study were interested in examining the heterogeneity of a virally induced cancer cell line. The ICELL8 Single-Cell System was used to develop a high-throughput method to prepare RNA from single cells. Sequencing of HeLa S3 cells revealed extensive heterogeneity of the cell line in regards to gene expression, alternative splicing, and fusion. Their work not only provides a transcriptome characterization of HeLa S3 cells at the single-cell level but is a demonstration of the power of single-cell RNA-seq analysis of virally infected cells and cancers.
ICELL8 Innovators Series
Bringing epigenomic profiling to the single-cell biology stage
Discover how researchers developed the new CUT&Tag method for single-cell profiling of chromatin components with ICELL8 technology.
Accelerating chromatin mapping with single-cell ATAC-seq
Learn more about how researchers used our ICELL8 Single-Cell System to develop a novel single-cell ATAC-seq workflow.
Exploring transcriptional variation in cardiomyocytes
Discover how researchers used the ICELL8 Single-Cell System to perform scRNA-seq on fragile adult cardiomyocytes.
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