Spatially resolved transcriptomics and beyond

469

483

Image-based approaches to single-cell transcriptomics, in which RNA species are identified and counted in situ via imaging, have emerged as a powerful complement to single-cell methods based on RNA sequencing of dissociated cells. These image-based approaches naturally preserve the native spatial context of RNAs within a cell and the organization of cells within tissue, which are important for addressing many biological questions. However, the throughput of these imagebased approaches is relatively low. Here we report advances that lead to a drastic increase in the measurement throughput of multiplexed error-robust fluorescence in situ hybridization (MERFISH), an imagebased approach to single-cell transcriptomics. In MERFISH, RNAs are identified via a combinatorial labeling approach that encodes RNA species with error-robust barcodes followed by sequential rounds of single-molecule fluorescence in situ hybridization (smFISH) to read out these barcodes. Here we increase the throughput of MERFISH by two orders of magnitude through a combination of improvements, including using chemical cleavage instead of photobleaching to remove fluorescent signals between consecutive rounds of smFISH imaging, increasing the imaging field of view, and using multicolor imaging. With these improvements, we performed RNA profiling in more than 100,000 human cells, with as many as 40,000 cells measured in a single 18-h measurement. This throughput should substantially extend the range of biological questions that can be addressed by MERFISH.single-cell analysis | fluorescence | in situ hybridization | transcriptomics | multiplexed imaging

mentioning

confidence: 99%

“…Addressing questions such as these requires spatially resolved approaches to single-cell transcriptomics (16).…”

mentioning

confidence: 99%

High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization

Moffitt

Hao

Wang

et al. 2016

469

483

“…However, with the development of in situ molecular interrogation methods (6,13,14) and tissue clearing techniques (2,(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) and an emphasis on studying organ-scale tissue as a whole, a pressing need has arisen for a means of expediting the transportation of various molecules into intact tissues. For example, many emerging tissue clearing techniques use surfactant micelles to directly remove lipids from a tissue and thus eliminate light-scattering boundaries to improve optical penetration for holistic visualization (2,(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25), but transporting these micelles into the intact tissue via diffusion can take weeks (2,15).…”

mentioning

confidence: 99%

Stochastic electrotransport selectively enhances the transport of highly electromobile molecules

Kim

Cho

Murray

et al. 2015

214

235

Nondestructive chemical processing of porous samples such as fixed biological tissues typically relies on molecular diffusion. Diffusion into a porous structure is a slow process that significantly delays completion of chemical processing. Here, we present a novel electrokinetic method termed stochastic electrotransport for rapid nondestructive processing of porous samples. This method uses a rotational electric field to selectively disperse highly electromobile molecules throughout a porous sample without displacing the low-electromobility molecules that constitute the sample. Using computational models, we show that stochastic electrotransport can rapidly disperse electromobile molecules in a porous medium. We apply this method to completely clear mouse organs within 1-3 days and to stain them with nuclear dyes, proteins, and antibodies within 1 day. Our results demonstrate the potential of stochastic electrotransport to process large and dense tissue samples that were previously infeasible in time when relying on diffusion.stochastic electrotransport | molecular transport | tissue clearing | tissue labeling | CLARITY

“…In this approach, RNAs are labeled via the hybridization of fluorescently labeled oligonucleotide probes, producing bright fluorescent spots for single RNA molecules, which reveal both the abundance and the spatial distribution of these RNAs inside cells (1,2). The ability of smFISH to image gene expression at the single-cell level in both cell culture and tissue has led to exciting advances in our understanding of the natural noise in gene expression and its role in cellular response (3,4), the intracellular spatial organization of RNAs and its role in posttranscriptional regulation (5,6), and the spatial variation in gene expression within complex tissues and its role in the molecular definition of cell types and tissue functions (6,7).…”

mentioning

confidence: 99%

High-performance multiplexed fluorescence in situ hybridization in culture and tissue with matrix imprinting and clearing

Moffitt

Hao

Bambah-Mukku

et al. 2016

257

249

Highly multiplexed single-molecule FISH has emerged as a promising approach to spatially resolved single-cell transcriptomics because of its ability to directly image and profile numerous RNA species in their native cellular context. However, backgroundfrom off-target binding of FISH probes and cellular autofluorescence-can become limiting in a number of important applications, such as increasing the degree of multiplexing, imaging shorter RNAs, and imaging tissue samples. Here, we developed a sample clearing approach for FISH measurements. We identified off-target binding of FISH probes to cellular components other than RNA, such as proteins, as a major source of background. To remove this source of background, we embedded samples in polyacrylamide, anchored RNAs to this polyacrylamide matrix, and cleared cellular proteins and lipids, which are also sources of autofluorescence. To demonstrate the efficacy of this approach, we measured the copy number of 130 RNA species in cleared samples using multiplexed error-robust FISH (MERFISH). We observed a reduction both in the background because of off-target probe binding and in the cellular autofluorescence without detectable loss in RNA. This process led to an improved detection efficiency and detection limit of MERFISH, and an increased measurement throughput via extension of MERFISH into four color channels. We further demonstrated MERFISH measurements of complex tissue samples from the mouse brain using this matrix-imprinting and -clearing approach. We envision that this method will improve the performance of a wide range of in situ hybridization-based techniques in both cell culture and tissues.tissue clearing | fluorescence in situ hybridization | multiplexed imaging | single-cell transcriptomics | brain S ingle-molecule FISH (smFISH) is a powerful technique that allows the direct imaging of individual RNA molecules within single cells (1, 2). In this approach, RNAs are labeled via the hybridization of fluorescently labeled oligonucleotide probes, producing bright fluorescent spots for single RNA molecules, which reveal both the abundance and the spatial distribution of these RNAs inside cells (1, 2). The ability of smFISH to image gene expression at the single-cell level in both cell culture and tissue has led to exciting advances in our understanding of the natural noise in gene expression and its role in cellular response (3, 4), the intracellular spatial organization of RNAs and its role in posttranscriptional regulation (5, 6), and the spatial variation in gene expression within complex tissues and its role in the molecular definition of cell types and tissue functions (6, 7).To extend the benefits of this technique to systems-level questions and high-throughput gene-expression profiling, approaches to increase the multiplexing of smFISH (i.e., the number of different RNA species that can be simultaneously quantified within the same cell) have been developed (8-13). Most of these approaches take advantage of color multiplexing, which has allowed a few tens...