Single-cell DNA targeted sequencing (scDNA-seq) to test therapeutic vulnerabilities in urothelial cancer (UC) patient-derived organoids (PDO).

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 464-464
Author(s):  
Kyrillus Shohdy ◽  
Weisi Liu ◽  
Alicia Alonso ◽  
Jenny Xiang ◽  
M. Laura Martin ◽  
...  
Keyword(s):  
Single Cell ◽  
Urothelial Cancer ◽  
Linear Trend ◽  
Single Cells ◽  
Pik3ca Mutation ◽  
Post Treatment ◽  
Trend Test ◽  
Bladder Cancer Patient ◽  
Ordered Categories

464 Background: Genomic alterations in FGFR3, PIK3CA, and CDKN2A are common actionable targets in urothelial cancer (UC). We aimed to determine the efficacy of alpelisib, a PIK3CA inhibitor, and abemaciclib, a CDK4/6 inhibitor in bladder cancer patient-derived organoid using single-cell targeted DNA sequencing. Methods: We established a patient-derived UC organoid (PDO) harboring the FGFR3 mutation (p.Y375C), the PIK3CA (p. E452K) mutation, and CDKN2A deletion, which we characterized using whole-genome sequencing. We generated dose-response curves of alpelisib, abemaciclib, and erdafitinib (an FGFR3 inhibitor) in PDO cells to determine the IC50 concentrations. The scDNA-seq (Tapsteri) platform was used to measure changes in the variant allele frequencies (VAF) and clonal fractions post-treatment. The Chi-square test for trend was used to test for linear trend across ordered categories. Results: scDNA-seq was performed after treating PDO cells with 3uM erdafitinib or DMSO. A total of 7000 single cells were obtained (4179 cells treated with erdafitinib vs. 2821 cells treated with DMSO). After removing variants mutated in <50% of cells, we identified 94 clonal variants. As expected, cells harboring FGFR3 Y375C have significantly decreased post erdafitinib treatment compared to DMSO-treated cells (66.05% vs. 82.36%, p<0.0001). We identified mutations in two genes ( RAB31 and SMAD4) that were associated with clonal expansion following FGFR3 inhibition (12% vs. 53% and 13% vs. 26%, respectively). We treated PDO cells with 3uM abemaciclib. We identified three genes harboring SNVs ( RB1, GNAQ, and SMAD4). The SNVs harboring cells were significantly decreased after abemaciclib compared to DMSO (p<0.0001). Then, we treated the cells with 1uM alpelisib for 72 hours alone or combined with abemaciclib (0.1uM). We identified that 100% of cells harbored the PIK3CA mutation E452K at pre-treatment, which limited our ability to detect significant changes in VAF post-treatment. Instead, we analyzed the effect on the FGFR3 Y375C clone. Using trend analysis, there was a significant reduction of FGFR3-mutant cells observed across the three conditions, abemaciclib + alpelisib vs. alpelisib alone vs. DMSO (74% vs. 85% vs. 92%, trend test p<0.0001), suggesting in vitro efficacy of alpelisib alone and significant synergism with the addition of abemaciclib. Conclusions: This study established the feasibility of using scDNA-seq as a promising tool to study the clonal evolution patterns in patient-derived UC organoids. Combined pharmacologic inhibition of CDK4/6 and PIK3CA showed more in vitro sensitivity than PIK3CA inhibition alone.

scholarly journals ZipSeq : Barcoding for Real-time Mapping of Single Cell Transcriptomes

2020 ◽  
Author(s):  
Kenneth H. Hu ◽  
John P. Eichorst ◽  
Chris S. McGinnis ◽  
David M. Patterson ◽  
Eric D. Chow ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Real Time ◽  
Dimensional Space ◽  
Single Cells ◽  
Expression Patterns ◽  
Live Cells ◽  
Glass Substrates ◽  
Complete Mapping

ABSTRACTSpatial transcriptomics seeks to integrate single-cell transcriptomic data within the 3-dimensional space of multicellular biology. Current methods use glass substrates pre-seeded with matrices of barcodes or fluorescence hybridization of a limited number of probes. We developed an alternative approach, called ‘ZipSeq’, that uses patterned illumination and photocaged oligonucleotides to serially print barcodes (Zipcodes) onto live cells within intact tissues, in real-time and with on-the-fly selection of patterns. Using ZipSeq, we mapped gene expression in three settings: in-vitro wound healing, live lymph node sections and in a live tumor microenvironment (TME). In all cases, we discovered new gene expression patterns associated with histological structures. In the TME, this demonstrated a trajectory of myeloid and T cell differentiation, from periphery inward. A variation of ZipSeq efficiently scales to the level of single cells, providing a pathway for complete mapping of live tissues, subsequent to real-time imaging or perturbation.

scholarly journals SCELLECTOR: ranking amplification bias in single cells using shallow sequencing

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Vivekananda Sarangi ◽  
Alexandre Jourdon ◽  
Taejeong Bae ◽  
Arijit Panda ◽  
Flora Vaccarino ◽  
...  
Keyword(s):  
Single Cell ◽  
Multiple Displacement Amplification ◽  
Single Cells ◽  
Sequencing Data ◽  
High Coverage ◽  
Amplification Bias ◽  
Single Cell Profiling ◽  
High Concordance ◽  
Human Neuronal Cells

Abstract Background The study of mosaic mutation is important since it has been linked to cancer and various disorders. Single cell sequencing has become a powerful tool to study the genome of individual cells for the detection of mosaic mutations. The amount of DNA in a single cell needs to be amplified before sequencing and multiple displacement amplification (MDA) is widely used owing to its low error rate and long fragment length of amplified DNA. However, the phi29 polymerase used in MDA is sensitive to template fragmentation and presence of sites with DNA damage that can lead to biases such as allelic imbalance, uneven coverage and over representation of C to T mutations. It is therefore important to select cells with uniform amplification to decrease false positives and increase sensitivity for mosaic mutation detection. Results We propose a method, Scellector (single cell selector), which uses haplotype information to detect amplification quality in shallow coverage sequencing data. We tested Scellector on single human neuronal cells, obtained in vitro and amplified by MDA. Qualities were estimated from shallow sequencing with coverage as low as 0.3× per cell and then confirmed using 30× deep coverage sequencing. The high concordance between shallow and high coverage data validated the method. Conclusion Scellector can potentially be used to rank amplifications obtained from single cell platforms relying on a MDA-like amplification step, such as Chromium Single Cell profiling solution.

scholarly journals Single Cell RNA-Seq Characterises Pre-Leukemic Transformation Driven By CEBPA N321D in the Hoxb8-FL Cell Line

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3887-3887
Author(s):  
Moosa Qureshi ◽  
Fernando Calero-Nieto ◽  
Iwo Kucinski ◽  
Sarah Kinston ◽  
George Giotopoulos ◽  
...  
Keyword(s):  
Dendritic Cell ◽  
Single Cell ◽  
Cell Line ◽  
Single Cells ◽  
Mutant Form ◽  
Rna Seq ◽  
Wild Type ◽  
Leukemic Transformation

Abstract The C/EBPα transcription factor plays a pivotal role in myeloid differentiation and E2F-mediated cell cycle regulation. Although CEBPA mutations are common in acute myeloid leukaemia (AML), little is known regarding pre-leukemic alterations caused by mutated CEBPA. Here, we investigated early events involved in pre-leukemic transformation driven by CEBPA N321D in the LMPP-like cell line Hoxb8-FL (Redecke et al., Nat Methods 2013), which can be maintained in vitro as a self-renewing LMPP population using Flt3L and estradiol, as well as differentiated both in vitro and in vivo into myeloid and lymphoid cell types. Hoxb8-FL cells were retrovirally transduced with Empty Vector (EV), wild-type CEBPA (CEBPA WT) or its N321D mutant form (CEBPA N321D). CEBPA WT-transduced cells showed increased expression of cd11b and SIRPα and downregulation of c-kit, suggesting that wild-type CEBPA was sufficient to promote differentiation even under LMPP growth conditions. Interestingly, we did not observe the same phenotype in CEBPA N321D-transduced cells. Upon withdrawal of estradiol, both EV and CEBPA WT-transduced cells differentiated rapidly into a conventional dendritic cell (cDC) phenotype by day 7 and died within 12 days. By contrast, CEBPA N321D-transduced cells continued to grow for in excess of 56 days, with an initial cDC phenotype but by day 30 demonstrating a plasmacytoid dendritic cell precursor phenotype. CEBPA N321D-transduced cells were morphologically distinct from EV-transduced cells. To test leukemogenic potential in vivo, we performed transplantation experiments in lethally irradiated mice. Serial monitoring of peripheral blood demonstrated that Hoxb8-FL derived cells had disappeared by 4 weeks, and did not reappear. However, at 6 months CEBPA N321D-transduced cells could still be detected in bone marrow in contrast to EV-transduced cells but without any leukemic phenotype. To identify early events involved in pre-leukemic transformation, the differentiation profiles of EV, CEBPA WT and CEBPA N321D-transduced cells were examined with single cell RNA-seq (scRNA-seq). 576 single cells were taken from 3 biological replicates at days 0 and 5 post-differentiation, and analysed using the Automated Single-Cell Analysis Pipeline (Gardeux et al., Bioinformatics 2017). Visualisation by t-SNE (Fig 1) demonstrated: (i) CEBPA WT-transduced cells formed a distinct cluster at day 0 before withdrawal of estradiol; (ii) CEBPA N321D-transduced cells separated from EV and CEBPA WT-transduced cells after 5 days of differentiation, (iii) two subpopulations could be identified within the CEBPA N321D-transduced cells at day 5, with a cluster of five CEBPA N321D-transduced single cells distributed amongst or very close to the day 0 non-differentiated cells. Differential expression analysis identified 224 genes upregulated and 633 genes downregulated specifically in the CEBPA N321D-transduced cells when compared to EV cells after 5 days of differentiation. This gene expression signature revealed that CEBPA N321D-transduced cells switched on a HSC/MEP/CMP transcriptional program and switched off a myeloid dendritic cell program. Finally, in order to further dissect the effect of the N321D mutation, the binding profile of endogenous and CEBPA N321D was compared by ChIP-seq before and after 5 days of differentiation. Integration with scRNA-seq data identified 160 genes specifically downregulated in CEBPA N321D-transduced cells which were associated with the binding of the mutant protein. This list of genes included genes previously implicated in dendritic cell differentiation (such as NOTCH2, JAK2), as well as a number of genes not previously implicated in the evolution of AML, representing potentially novel therapeutic targets. Disclosures No relevant conflicts of interest to declare.

scholarly journals Optical Cellular Micromotion: A New Paradigm to Measure Tumour Cells Invasion in 3D Tumour Environments

2021 ◽  
Author(s):  
Zhaobin Guo ◽  
Chih-Tsung Yang ◽  
Chia-Chi Chien ◽  
Luke Selth ◽  
Pierre Bagnaninchi ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Invasion ◽  
Tumour Cell ◽  
Single Cells ◽  
Three Dimensional ◽  
Tumour Cells ◽  
Digital Holographic Microscopy ◽  
New Paradigm ◽  
Cell Invasiveness

Measuring tumour cell invasiveness through three-dimensional (3D) tissues, particularly at the single cell level, can provide important mechanistic understanding and assist in identifying therapeutic targets of tumour invasion. However, current experimental approaches, including standard in vitro invasion assays, have limited physiological relevance and offer insufficient insight about the vast heterogeneity in tumour cell migration through tissues. To address these issues, here we report on the concept of optical cellular micromotion, where digital holographic microscopy (DHM) is used to map the optical thickness fluctuations at sub-micron scale within single cells. These fluctuations are driven by the dynamic movement of subcellular structures including the cytoskeleton and inherently associated with the biological processes involved in cell invasion within tissues. We experimentally demonstrate that the optical cellular micromotion correlates with tumour cells motility and invasiveness both at the population and single cell levels. In addition, the optical cellular micromotion significantly reduced upon treatment with migrastatic drugs that inhibit tumour cell invasion. These results demonstrate that micromotion measurements can rapidly and non-invasively determine the invasive behaviour of single tumour cells within tissues, yielding a new and powerful tool to assess the efficacy of approaches targeting tumour cell invasiveness.

ColorCells: a database of expression, classification and functions of lncRNAs in single cells

2020 ◽  
Author(s):  
Ling-Ling Zheng ◽  
Jing-Hua Xiong ◽  
Wu-Jian Zheng ◽  
Jun-Hao Wang ◽  
Zi-Liang Huang ◽  
...  
Keyword(s):  
Single Cell ◽  
Tissue Specificity ◽  
Single Cells ◽  
Noncoding Rnas ◽  
Cell Types ◽  
Marker Genes ◽  
Rna Seq ◽  
Expression Variability ◽  
Expression Classification

Abstract Although long noncoding RNAs (lncRNAs) have significant tissue specificity, their expression and variability in single cells remain unclear. Here, we developed ColorCells (http://rna.sysu.edu.cn/colorcells/), a resource for comparative analysis of lncRNAs expression, classification and functions in single-cell RNA-Seq data. ColorCells was applied to 167 913 publicly available scRNA-Seq datasets from six species, and identified a batch of cell-specific lncRNAs. These lncRNAs show surprising levels of expression variability between different cell clusters, and has the comparable cell classification ability as known marker genes. Cell-specific lncRNAs have been identified and further validated by in vitro experiments. We found that lncRNAs are typically co-expressed with the mRNAs in the same cell cluster, which can be used to uncover lncRNAs’ functions. Our study emphasizes the need to uncover lncRNAs in all cell types and shows the power of lncRNAs as novel marker genes at single cell resolution.

scholarly journals Ultraaccurate genome sequencing and haplotyping of single human cells

2017 ◽  
Vol 114 (47) ◽  
pp. 12512-12517 ◽  
Author(s):  
Wai Keung Chu ◽  
Peter Edge ◽  
Ho Suk Lee ◽  
Vikas Bansal ◽  
Vineet Bafna ◽  
...  
Keyword(s):  
Single Cell ◽  
Genome Sequencing ◽  
Single Cells ◽  
Error Rates ◽  
Human Cells ◽  
Sequence Information ◽  
Dna Fragments ◽  
Chromosomal Dna ◽  
Haplotype Information

Accurate detection of variants and long-range haplotypes in genomes of single human cells remains very challenging. Common approaches require extensive in vitro amplification of genomes of individual cells using DNA polymerases and high-throughput short-read DNA sequencing. These approaches have two notable drawbacks. First, polymerase replication errors could generate tens of thousands of false-positive calls per genome. Second, relatively short sequence reads contain little to no haplotype information. Here we report a method, which is dubbed SISSOR (single-stranded sequencing using microfluidic reactors), for accurate single-cell genome sequencing and haplotyping. A microfluidic processor is used to separate the Watson and Crick strands of the double-stranded chromosomal DNA in a single cell and to randomly partition megabase-size DNA strands into multiple nanoliter compartments for amplification and construction of barcoded libraries for sequencing. The separation and partitioning of large single-stranded DNA fragments of the homologous chromosome pairs allows for the independent sequencing of each of the complementary and homologous strands. This enables the assembly of long haplotypes and reduction of sequence errors by using the redundant sequence information and haplotype-based error removal. We demonstrated the ability to sequence single-cell genomes with error rates as low as 10−8 and average 500-kb-long DNA fragments that can be assembled into haplotype contigs with N50 greater than 7 Mb. The performance could be further improved with more uniform amplification and more accurate sequence alignment. The ability to obtain accurate genome sequences and haplotype information from single cells will enable applications of genome sequencing for diverse clinical needs.

A quantitative analysis of testosterone action on FSH secretion from individual pituitary cells using the cell immunoblot assay

1996 ◽  
Vol 148 (3) ◽  
pp. 427-433 ◽  
Author(s):  
K Noguchi ◽  
J Arita ◽  
A Nagamoto ◽  
M Hosaka ◽  
F Kimura
Keyword(s):  
Single Cell ◽  
Anterior Pituitary ◽  
Single Cells ◽  
Male Rat ◽  
Image Analyzer ◽  
Pituitary Cells ◽  
Single Cell Level ◽  
Cell Level ◽  
Anterior Pituitary Cells

Abstract We investigated the effects of testosterone on FSH secretion from male rat anterior pituitary cells in culture at the single cell level. Anterior pituitary cells cultured with or without 10 ng/ml testosterone for 72 h were mono-dispersed and subjected to cell immunoblot assays for FSH. Cell blots specific for FSH were quantified by means of a microscopic image analyzer. The number of FSH-secreting cells detected as immunoreactive cell blots on the transfer membrane represented 4·1% of total pituitary cells applied on the membrane. The amount of FSH secreted by single cells varied from <20 to >8 000 fg/cell/h. The number of FSH-secreting cells was not changed by the addition of 10 ng/ml testosterone into the culture medium. Testosterone administration increased the mean FSH secretion by 64% after 3 h incubation, resulting in a shift to the right in the frequency distribution of FSH secretion from single cells. The total amount of FSH, namely the sum of FSH secreted by each FSH-secreting cell, was increased by 92% by the addition of testosterone. However, mean amounts of FSH secretion by the top ten cells of the largest secretor subgroup (>5 pg/cell/3 h) were not different between control and testosterone-treated groups. The present study analyzed, for the first time, FSH secretion from rat anterior pituitary cells at the single cell level. The results suggest that stimulation by testosterone of FSH secretion in vitro is not due to an increase in the number of FSH-secreting cells but to an increase in FSH secretion from each cell. Journal of Endocrinology (1996) 148, 427–433

scholarly journals Robustness and applicability of functional genomics tools on scRNA-seq data

2019 ◽  
Author(s):  
Christian H. Holland ◽  
Jovan Tanevski ◽  
Jan Gleixner ◽  
Manu P. Kumar ◽  
Elisabetta Mereu ◽  
...  
Keyword(s):  
Functional Genomics ◽  
Single Cell ◽  
In Silico ◽  
Single Cells ◽  
Real Data ◽  
Drop Out ◽  
Rna Seq ◽  
Knock Out ◽  
Genomics Tools

AbstractMany tools have been developed to extract functional and mechanistic insight from bulk transcriptome profiling data. With the advent of single-cell RNA sequencing (scRNA-seq), it is in principle possible to do such an analysis for single cells. However, scRNA-seq data has characteristics such as drop-out events, low library sizes and a comparatively large number of samples/cells. It is thus not clear if functional genomics tools established for bulk sequencing can be applied to scRNA-seq in a meaningful way. To address this question, we performed benchmark studies on in silico and in vitro single-cell RNA-seq data. We included the bulk-RNA tools PROGENy, GO enrichment and DoRothEA that estimate pathway and transcription factor (TF) activities, respectively, and compared them against the tools AUCell and metaVIPER, designed for scRNA-seq. For the in silico study we simulated single cells from TF/pathway perturbation bulk RNA-seq experiments. Our simulation strategy guarantees that the information of the original perturbation is preserved while resembling the characteristics of scRNA-seq data. We complemented the in silico data with in vitro scRNA-seq data upon CRISPR-mediated knock-out. Our benchmarks on both the simulated and real data revealed comparable performance to the original bulk data. Additionally, we showed that the TF and pathway activities preserve cell-type specific variability by analysing a mixture sample sequenced with 13 scRNA-seq different protocols. Our analyses suggest that bulk functional genomics tools can be applied to scRNA-seq data, outperforming dedicated single cell tools. Furthermore we provide a benchmark for further methods development by the community.

scholarly journals Single-cell RNA-seq revealed the role of Alkbh5 in reproduction

2021 ◽  
Author(s):  
Xiaozhong Shen ◽  
Gangcai Xie
Keyword(s):  
Single Cell ◽  
Messenger Rna ◽  
Single Cells ◽  
Rna Seq ◽  
Single Cell Sequencing ◽  
Differential Gene ◽  
Higher Eukaryotes

AbstractN(6)-methyladenosine (m(6)a) is the most common internal modification of messenger RNA (mRNA) in higher eukaryotes. According to previous literature reports, alkbh5, as another demethylase in mammals, can reverse the expression of m(6)a gene in vivo and in vitro. In order to reveal the effect of Alkbh5 deletion on the level of single cells in the testis during spermatogenesis in mice, the data were compared using single-cell sequencing. In this article, we discussed the transcription profile and cell type identification of mouse testis, the expression of mitochondrial and ribosomal genes in mice, the analysis of differential gene expression, and the effects of Alkbh5 deletion, and try to explain the role and influence of Alkbh5 on reproduction at the level of single-cell sequencing.

scholarly journals Injury-Free In Vivo Delivery and Engraftment into the Cornea Endothelium Using Extracellular Matrix Shrink-Wrapped Cells

2021 ◽  
Author(s):  
Rachelle N. Palchesko ◽  
Yiqin Du ◽  
Moira L. Geary ◽  
Santiago Carrasquilla ◽  
Daniel J. Shiwarski ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Single Cell ◽  
Single Cells ◽  
Tissue Level ◽  
Cell Junctions ◽  
Small Island ◽  
Corneal Endothelial Cells ◽  
Corneal Blindness

AbstractCell injection has emerged as a widespread approach for therapeutic delivery of healthy cells into diseased and damaged tissues to achieve regeneration. However, cell retention, viability and integration at the injection site has generally been poor, driving the need for improved approaches. Additionally, it is unknown how efficiently single cells can integrate and repair tissue level function. Here we have developed a technique to address these issues by engineering islands of interconnected cells on ECM nanoscaffolds that can be non-destructively released from the surface via thermal dissolution of the underlying thermo-responsive polymer. Upon dissolution of the polymer, the ECM nanoscaffold shrink-wraps around the small island of cells, creating a small patch of cells that maintain their cell-cell junctions and cytoskeletal structure throughout collection, centrifugation and injection that we have termed μMonolayers. These μMonolayers were made with corneal endothelial cells, as a model system, as single cell injections of corneal endothelial cells have been used with some success clinically to treat corneal blindness. In vitro our μMonolayers exhibited increased integration compared to single cells into low density corneal endothelial monolayers and in vivo into the high-density healthy rabbit corneal endothelium. These results indicate that this technique could be used to increase the integration of healthy cells into existing tissues to treat not only corneal blindness, but also other conditions such as cystic fibrosis, myocardial infarction, diabetes, etc.One Sentence SummarySmall monolayers of interconnected endothelial cells are shrinkwrapped in a thin layer of ECM and exhibit enhanced adhesion and integration in vivo compared to single cell suspensions.

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