MISC: missing imputation for single-cell RNA sequencing data

Background

Single-cell RNA sequencing (scRNA-seq) technology provides an effective way to study cell heterogeneity. However, due to the low capture efficiency and stochastic gene expression, scRNA-seq data often contains a high percentage of missing values. It has been showed that the missing rate can reach approximately 30% even after noise reduction. To accurately recover missing values in scRNA-seq data, we need to know where the missing data is; how much data is missing; and what are the values of these data.

Methods

To solve these three problems, we propose a novel model with a hybrid machine learning method, namely, missing imputation for single-cell RNA-seq (MISC). To solve the first problem, we transformed it to a binary classification problem on the RNA-seq expression matrix. Then, for the second problem, we searched for the intersection of the classification results, zero-inflated model and false negative model results. Finally, we used the regression model to recover the data in the missing elements.

Results

We compared the raw data without imputation, the mean-smooth neighbor cell trajectory, MISC on chronic myeloid leukemia data (CML), the primary somatosensory cortex and the hippocampal CA1 region of mouse brain cells. On the CML data, MISC discovered a trajectory branch from the CP-CML to the BC-CML, which provides direct evidence of evolution from CP to BC stem cells. On the mouse brain data, MISC clearly divides the pyramidal CA1 into different branches, and it is direct evidence of pyramidal CA1 in the subpopulations. In the meantime, with MISC, the oligodendrocyte cells became an independent group with an apparent boundary.

Conclusions

Our results showed that the MISC model improved the cell type classification and could be instrumental to study cellular heterogeneity. Overall, MISC is a robust missing data imputation model for single-cell RNA-seq data.

     

Intra-nuclear RNA trafficking: insights from live cell imaging

Despite recent advances, the mechanisms of RNA movements and targeting within the nucleus are still mysterious. While diffusion appears to play a crucial role in nuclear dynamics and RNA transport, some data argue for a model in which diffusion is controlled, at least in part, by the organization of the nucleus in well-defined compartments. Much of the recent progress is based on imaging technologies, and this review will first present them in some detail. We will then summarize studies that analyzed nuclear movements of both polyadenylated RNA and box C/D snoRNP. Indeed, this latter model has already brought a number of interesting results. We will finally present some of our original results on box C/D snoRNA transport.     

单细胞RNA测序技术在病毒研究中的应用

单细胞RNA测序(single-cell RNA sequencing, scRNA-seq)技术已经成为不同领域中研究细胞异质性的有效工具。在病毒研究领域中,利用该技术分析病毒和细胞的转录组,可以在单细胞水平上检测病毒感染的动态变化,了解病毒与细胞间复杂的相互作用。本文简述了scRNA-seq技术,着重介绍病毒感染宿主细胞后scRNA-seq研究的最新进展,同时也描述了细胞周期、基因表达、细胞状态等细胞异质性对病毒感染过程的影响,以及病毒变异对其本身感染过程的影响。此外,本文还分析了scRNA-seq在研究病毒–宿主互作动态变化方面具有的独特优势,及其在病毒研究领域中广阔的应用前景,为揭示病毒的感染与致病机制、抗病毒靶标的开发等提供参考。     

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method,reveals non-genetic gene-expression heterogeneity

Development of a highly reproducible and sensitive single-cell RNA sequencing (RNA-seq) method would facilitate the understanding of the biological roles and underlying mechanisms of non-genetic cellular heterogeneity. In this study, we report a novel single-cell RNA-seq method called Quartz-Seq that has a simpler protocol and higher reproducibility and sensitivity than existing methods. We show that single-cell Quartz-Seq can quantitatively detect various kinds of non-genetic cellular heterogeneity, and can detect different cell types and different cell-cycle phases of a single cell type. Moreover, this method can comprehensively reveal gene-expression heterogeneity between single cells of the same cell type in the same cell-cycle phase.     

High-content live cell imaging with RNA probes: advancements in high-throughput antimalarial drug discovery

Background  

Malaria, a major public health issue in developing nations, is responsible for more than one million deaths a year. The most lethal species, Plasmodium falciparum, causes up to 90% of fatalities. Drug resistant strains to common therapies have emerged worldwide and recent artemisinin-based combination therapy failures hasten the need for new antimalarial drugs. Discovering novel compounds to be used as antimalarials is expedited by the use of a high-throughput screen (HTS) to detect parasite growth and proliferation. Fluorescent dyes that bind to DNA have replaced expensive traditional radioisotope incorporation for HTS growth assays, but do not give additional information regarding the parasite stage affected by the drug and a better indication of the drug's mode of action. Live cell imaging with RNA dyes, which correlates with cell growth and proliferation, has been limited by the availability of successful commercial dyes.     

Q-RRBS: a quantitative reduced representation bisulfite sequencing method for single-cell methylome analyses

Reduced representation bisulfite sequencing (RRBS) is a powerful method of DNA methylome profiling that can be applied to single cells. However, no previous report has described how PCR-based duplication-induced artifacts affect the accuracy of this method when measuring DNA methylation levels. For quantifying the effects of duplication-induced artifacts on methylome profiling when using ultra-trace amounts of starting material, we developed a novel method, namely quantitative RRBS (Q-RRBS), in which PCR-induced duplication is excluded through the use of unique molecular identifiers (UMIs). By performing Q-RRBS on varying amounts of starting material, we determined that duplication-induced artifacts were more severe when small quantities of the starting material were used. However, through using the UMIs, we successfully eliminated these artifacts. In addition, Q-RRBS could accurately detect allele-specific methylation in absence of allele-specific genetic variants. Our results demonstrate that Q-RRBS is an optimal strategy for DNA methylation profiling of single cells or samples containing ultra-trace amounts of cells.     

Self-adhesive microculture system for extended live cell imaging

Abstract

Gas permeable and biocompatible soft polymers are convenient for biological applications. Using the soft polymer poly(dimethylsiloxane) (PDMS), we established a straightforward technique for in-house production of self-adhesive and optical grade microculture devices. A gas permeable PDMS layer effectively protects against medium evaporation, changes in osmolarity, contamination and drug diffusion. These chip-based devices can be used effectively for long term mammalian cell culture and support a range of bioassays used in pharmacological profiling of anti-cancer drugs. Results obtained on a panel of hematopoietic and solid tumor cell lines during screening of investigative anti-cancer agents corresponded well to those obtained in a conventional cell culture on polystyrene plates. The cumulative correlation analysis of multiple cell lines and anti-cancer drugs showed no adverse effects on cell viability or cell growth retardation during microscale static cell culture. PDMS devices also can be custom modified for many bio-analytical purposes and are interfaced easily with both inverted and upright cell imaging platforms. Moreover, PDMS microculture devices are suitable for extended real time cell imaging. Data from the multicolor, real time analysis of apoptosis on human breast cancer MCF-7 cells provided further evidence that elimination of redundant centrifugation/washing achieved during microscale real time analysis facilitates preservation of fragile apoptotic cells and provides dynamic cellular information at high resolution. Because only small reaction volumes are required, such devices offer reduced use of consumables as well as simplified manipulations during all stages of live cell imaging.     

Nanogel-quantum dot hybrid nanoparticles for live cell imaging

We report here a novel carrier of quantum dots (QDs) for intracellular labeling. Monodisperse hybrid nanoparticles (38 nm in diameter) of QDs were prepared by simple mixing with nanogels of cholesterol-bearing pullulan (CHP) modified with amino groups (CHPNH2). The CHPNH2-QD nanoparticles were effectively internalized into the various human cells examined. The efficiency of cellular uptake was much higher than that of a conventional carrier, cationic liposome. These hybrid nanoparticles could be a promising fluorescent probe for bioimaging.     

Rapid, massively parallel single-cell drug response measurements via live cell interferometry

A central question in cancer therapy is how individual cells within a population of tumor cells respond to drugs designed to arrest their growth. However, the absolute growth of cells, their change in physical mass, whether cancerous or physiologic, is difficult to measure directly with traditional techniques. Here, we develop live cell interferometry for rapid, real-time quantification of cell mass in cells exposed to a changing environment. We used tunicamycin induction of the unfolded protein stress response in multiple myeloma cells to generate a mass response that was temporally profiled for hundreds of cells simultaneously. Within 2 h, the treated cells were growth suppressed compared to controls, with a few cells in both populations showing a robust increase (+15%) or little change (<5%) in mass accumulation. Overall, live cell interferometry provides a conceptual advance for assessing cell populations to identify, monitor, and measure single cell responses, such as to therapeutic drugs.     

Dye selection for live cell imaging of intact siRNA

Investigations into the fate of small interfering RNA (siRNA) after transfection may unravel new ways to improve RNA interference (RNAi) efficiency. Because intracellular degradation of RNA may prevent reliable observation of fluorescence-labeled siRNA, new tools for fluorescence microscopy are warranted to cover the considerable duration of the RNAi effect. Here, the characterization and application of new fluorescence resonance energy transfer (FRET) dye pairs for sensing the integrity of duplex siRNA is reported, which allows an assessment of the degradation status of an siRNA cell population by live cell imaging. A panel of high-yield fluorescent dyes has been investigated for their suitability as FRET pairs for the investigation of RNA inside the cell. Nine dyes in 13 FRET pairs were evaluated based on the performance in assays of photostability, cross-excitation, bleed-through, as well as on quantified changes of fluorescence as a consequence of, e.g., RNA strand hybridization and pH variation. The Atto488/Atto590 FRET pair has been applied to live cell imaging, and has revealed first aspects of unusual trafficking of intact siRNA. A time-lapse study showed highly dynamic movement of siRNA in large perinuclear structures. These and the resulting optimized FRET labeled siRNA are expected to have significant impact on future observations of labeled RNAs in living cells.     

SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing

The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.     

Genetically encoded fluorescent indicators for live cell pH imaging

Background

Intracellular pH underlies most cellular processes. There is emerging evidence of a pH-signaling role in plant cells and microorganisms. Dysregulation of pH is associated with human diseases, such as cancer and Alzheimer's disease.

Cyanine dye conjugates as probes for live cell imaging

A series of fluorescent compounds suitable for live cell imaging is described. Functionalized forms of four different asymmetric cyanine dyes are reported that are amenable to peptide conjugation. The photophysical properties of the modified dyes and conjugates and the use of the compounds as cellular imaging agents are described. The results obtained indicate that these spectrally versatile compounds, which have absorption and emission profiles spanning the visible spectrum, are useful probes for cellular imaging.     

Bioluminescence technology for imaging cell proliferation

As continuous cell proliferation caused by genetic alterations leads to cancer, monitoring abnormal cell proliferation in sporadic tumor models is important in the context of tumor generation, development and response to therapy. Bioluminescence imaging technology, which visualizes the conversion of chemical energy into visible light by luciferase enzymes, is an established method to measure cell numbers in grafted tumors in vivo, but has not been used to monitor cell proliferation per se. To measure cell proliferation noninvasively, transgenic mice have been developed that express the luciferase gene under the control of the E2F1 promoter. When these reporter mice are crossed with genetically defined mouse models of human cancer, the proliferative activity of the tumor cells can be monitored with proportional light production. These technologies support more detailed preclinical trials and could enable other biological pathways to be monitored in living cells.