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Assays examining the open-chromatin landscape in single cells require isolation of the nucleus, resulting in the loss of spatial/microenvironment information. Here we describe CHEX-seq (CHromatin EXposed) for identifying single-stranded open-chromatin DNA regions in paraformaldehyde-fixed single cells. CHEX-seq uses light-activated DNA probes that binds to single-stranded DNA in open chromatin. In situ laser activation of the annealed probes’ 3’-Lightning Terminator™ in selected cells permits the probe to act as a primer for in situ enzymatic copying of single-stranded DNA that is then sequenced. CHEX-seq is benchmarked with human K562 cells and its utility is demonstrated in dispersed primary mouse and human brain cells, and immunostained cells in mouse brain sections. Further, CHEX-seq queries the openness of mitochondrial DNA in single cells. Evaluation of an individual cell’s chromatin landscape in its tissue context enables “spatial chromatin analysis”.One Sentence SummaryA new method, CHEX-seq (CHromatin eXposed), identifies the open-chromatin landscape in single fixed cells thereby allowing spatial chromatin analysis of selected cells in complex cellular environments.

The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body, by undertaking a Human Cell Atlas Project as an international collaborative effort. The aim would be to define all human cell types in terms of distinctive molecular profiles (e.g., gene expression) and connect this information with classical cellular descriptions (e.g., location and morphology). A comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, as well as provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas.

Recently, measurement of RNA at single cell resolution has yielded surprising insights. Methods for single-cell RNA sequencing (scRNA-seq) have received considerable attention, but the broad reliability of single cell methods and the factors governing their performance are still poorly known. Here, we conducted a large-scale control experiment to assess the transfer function of three scRNA-seq methods and factors modulating the function. All three methods detected greater than 70% of the expected number of genes and had a 50% probability of detecting genes with abundance greater than 2 to 4 molecules. Despite the small number of molecules, sequencing depth significantly affected gene detection. While biases in detection and quantification were qualitatively similar across methods, the degree of bias differed, consistent with differences in molecular protocol. Measurement reliability increased with expression level for all methods and we conservatively estimate the measurement transfer functions to be linear above ~5-10 molecules. Based on these extensive control studies, we propose that RNA-seq of single cells has come of age, yielding quantitative biological information.

The field of single-cell analysis has greatly benefitted from recent technological advances allowing scientists to study genomes, transcriptomes, proteomes, and metabolomes at the single-cell level. Transcriptomics allows a unique window into cell function and is especially useful for studying global variability among single cells of seemingly the same type. Generating transcriptome data from RNA samples has become increasingly easy and can be done using either microarray or RNA-Seq techniques. RNA isolation is the first step of transcriptomics. Numerous RNA isolation procedures exist and differ with respect to the type and number of cells from which they are capable of isolating RNA. Although it is trivial to isolate RNA from bulk tissue or culture plates, sophisticated methods are required to capture RNA from single cells in a pool of cells or in intact tissue. We describe here the protocols used for isolating the soma of single neurons in cultures and in tissue slices using the pipette capture and the PALM or laser capture microdissection (LCM) approaches, respectively. LCM was developed to isolate cells from tissue sections primarily for pathological tissue analysis. LCM can be used to isolate individual cells or groups of cells from ethanol or paraffin-embedded formalin-fixed tissue sections and dissociated tissue cultures. The soma isolates from either technique can subsequently be used for RNA amplification procedures and transcriptome analysis. These procedures can also be adapted to other cell types in cultures and tissue sections and can be used on neuronal subcellular structures, such as dendrites.

This protocol describes how to amplify mRNA isolated from a single cell and then analyze its gene expression profile using polymerase chain reaction (PCR). Single-cell analysis is advantageous over studies of cell populations because it allows identification of a range of normal physiological states expressed by different cells of the same cell type without the confounding effects of averaging that result from measuring physiological states of cell populations. This is especially important when addressing questions of physiology in tissues, which comprises many different cell types. However, a single cell does not contain enough mRNA for all of the expressed transcripts to be detected or measured by any current molecular biology techniques. The antisense RNA (aRNA) amplification method was developed to amplify the picogram amounts of mRNA found within a single cell to microgram amounts of aRNA after three rounds of amplification. This aRNA can then easily be analyzed by microarray or next-generation sequencing. These methods allow identification of all expressed mRNA species within a single cell, including previously unknown mRNAs or those mRNAs specifically affected by a certain treatment. mRNA species of interest identified by these techniques can be further analyzed by designing primers targeting these species and performing PCR. cDNA synthesized from RNA at any stage in the aRNA amplification procedure, including material directly from collected unamplified cells, can be analyzed using PCR. Regardless of downstream applications, single-cell aRNA amplification is a powerful tool for studying single-cell physiological dynamics.

Introduction of exogenous genetic material, such as DNA, mRNA, siRNA, or miRNA, into cells is routinely performed using one of the many different standardized methods, including lipid-mediated transfection, electroporation, and microinjection to identify their biological function. The ability to control the location and amount of nucleic acids introduced into a cell is particularly important for studying polarized cells such as neurons. Lipid-mediated transfection is simple and fast but lacks regional specificity of delivery, whereas microinjection is regionally specific but labor intensive. To overcome these obstacles, we developed and use the method of phototransfection. In this method, a conventional microscope with a high-power pulse laser of any wavelength is able with minimal destructiveness to induce transient pores into the plasma membrane of the target cell, which remain open long enough to allow exogenous genetic material to diffuse into the cytosol before the pore closes due to membrane dynamics. The technique is not limited by choice of cell type or by genetic material to be introduced, and for RNA allows transfection of multiple mRNAs simultaneously in any desired amount or ratio. Further, phototransfection allows the target area to be a specific cell in a population of cells or a specific subregion within a cell. This protocol summarizes the key steps for performing phototransfection, provides a guide to optimization, and uses as an example green fluorescent protein (GFP) mRNA transfection within a single neuronal process.