Computational analysis of super-resolved in situ sequencing data reveals genes modified by immune-tumor contact events.

Cancer cells can manipulate immune cells and escape from the immune system response. Quantifying the molecular changes that occur when an immune cell touches a tumor cell can increase our understanding of the underlying mechanisms. Recently, it became possible to perform such measurements in situ-for example, using expansion sequencing, which enabled in situ sequencing of genes with super-resolution. We systematically examined whether individual immune cells from specific cell types express genes differently when in physical proximity to individual tumor cells. First, we demonstrated that a dense mapping of genes in situ can be used for the segmentation of cell bodies in 3D, thus improving our ability to detect likely touching cells. Next, we used three different computational approaches to detect the molecular changes that are triggered by proximity: differential expression analysis, tree-based machine learning classifiers, and matrix factorization analysis. This systematic analysis revealed tens of genes, in specific cell types, whose expression separates immune cells that are proximal to tumor cells from those that are not proximal, with a significant overlap between the different detection methods. Remarkably, an order of magnitude more genes are triggered by proximity to tumor cells in CD8 T cells compared to CD4 T cells, in line with the ability of CD8 T cells to directly bind major histocompatibility complex (MHC) class I on tumor cells. Thus, in situ sequencing of an individual biopsy can be used to detect genes likely involved in immune-tumor cell-cell interactions. The data used in this manuscript and the code of the InSituSeg, machine learning, cNMF, and Moran's I methods are publicly available at doi:10.5281/zenodo.7497981.

Progress on fluorescent RNA and fluorescent NA-based biosensing technology.

Fluorescent RNA is a kind of emerging RNA labeling technique that can be used for in situ labeling and imaging of RNA in live cells, which plays an important role in understanding the function and regulation mechanism of RNA. Biosensing technology based on fluorescent RNA can be applied in dynamic detection of small molecule metabolites and proteins in real time, offering valuable tools for basic life science research and biomedical sensing technology development. In this review, we introduce the development of genetically encoded fluorescent RNA, and the application of fluorescent RNA in RNA imaging and biosensing technology based on fluorescent RNA in biosensing in live cell. Meanwhile, we discuss the direction and challenge of future development of fluorescent RNA technology to provide valuable insights for further development and application of this technology in relevant fields.

Rna Buffering Fluorogenic Probe for Nucleolar Morphology Stable Imaging And Nucleolar Stress-Generating Agents Screening.

In the realm of cell research, membraneless organelles have become a subject of increasing interest. However, their ever-changing and amorphous morphological characteristics have long presented a formidable challenge when it comes to studying their structure and function. In this paper, a fluorescent probe Nu-AN is reported, which exhibits the remarkable capability to selectively bind to and visualize the nucleolus morphology, the largest membraneless organelle within the nucleus. Nu-AN demonstrates a significant enhancement in fluorescence upon its selective binding to nucleolar RNA, due to the inhibited twisted intramolecular charge-transfer (TICT) and reduced hydrogen bonding with water. What sets Nu-AN apart is its neutral charge and weak interaction with nucleolus RNA, enabling it to label the nucleolus selectively and reversibly. This not only reduces interference but also permits the replacement of photobleached probes with fresh ones outside the nucleolus, thereby preserving imaging photostability. By closely monitoring morphology-specific changes in the nucleolus with this buffering fluorogenic probe, screenings for agents are conducted that induce nucleolar stress within living cells.

Single-Molecule RNA Imaging in Live Cells with an Avidity-Based Fluorescent Light-Up Aptamer biRhoBAST.

Observing individual RNA molecules provides valuable insights into their regulation, interactions with other cellular components, organization, and functions. Although fluorescent light-up aptamers (FLAPs) have recently shown promise for RNA imaging, their wider applications have been mostly hindered by poor brightness and photostability. We recently developed an avidity-based FLAP known as biRhoBAST that allows for single-molecule RNA imaging in live or fixed cells and tracking individual mRNA molecules in living cells due to its excellent photostability and high brightness. Here, we present step-by-step detailed protocols starting from cloning biRhoBAST repeats into the target RNA sequence, to imaging dynamics of single mRNA molecules. Additionally, we address the validation of single-molecule imaging experiments through single-molecule fluorescence in situ hybridization (smFISH) and colocalization studies.

High-Throughput RNA-HCR-FISH Detection of Endogenous Pre-mRNA Splice Variants.

RNA-fluorescence in situ hybridization (RNA-FISH) is an essential and widely used tool for visualizing RNA molecules in intact cells. Recent advances have increased RNA-FISH sensitivity, signal detection efficiency, and throughput. However, detection of endogenous mRNA splice variants has been challenging due to the limits of visualization of RNA-FISH fluorescence signals and due to the limited number of RNA-FISH probes per target. HiFENS (high-throughput FISH detection of endogenous pre-mRNA splicing isoforms) is a method that enables visualization and relative quantification of mRNA splice variants at single-cell resolution in an automated high-throughput manner. HiFENS incorporates HCR (hybridization chain reaction) signal amplification strategies to enhance the fluorescence signal generated by low abundance transcripts or a small number of FISH probes targeting short stretches of RNA, such as single exons. The technique offers a significant advance in high-throughput FISH-based RNA detection and provides a powerful tool that can be used as a readout in functional genomics screens to discover and dissect cellular pathways regulating gene expression and alternative pre-mRNA splicing events.

Enhancing Specific Fluorescence In Situ Hybridization with Quantum Dots for Single-Molecule RNA Imaging in Formalin-Fixed Paraffin-Embedded Tumor Tissues.

Single-molecule fluorescence in situ hybridization (smFISH) represents a promising approach for the quantitative analysis of nucleic acid biomarkers in clinical tissue samples. However, low signal intensity and high background noise are complications that arise from diagnostic pathology when performed with smFISH-based RNA imaging in formalin-fixed paraffin-embedded (FFPE) tissue specimens. Moreover, the associated complex procedures can produce uncertain results and poor image quality. Herein, by combining the high specificity of split DNA probes with the high signal readout of ZnCdSe/ZnS quantum dot (QD) labeling, we introduce QD split-FISH, a high-brightness smFISH technology, to quantify the expression of mRNA in both cell lines and clinical FFPE tissue samples of breast cancer and lung squamous carcinoma. Owing to its high signal-to-noise ratio, QD split-FISH is a fast, inexpensive, and sensitive method for quantifying mRNA expression in FFPE tumor tissues, making it suitable for biomarker imaging and diagnostic pathology.

Single-Molecule Visualization of Bunyavirus Genome Segments Using Fluorescence In Situ Hybridization.

The genome of most bunyaviruses is divided over three (S, M, and L) single-stranded RNA segments of negative polarity. The three viral RNA segments are essential to establish a productive infection. RNA fluorescence in situ hybridization (FISH) enables the detection, localization, and quantification of RNA molecules at single-molecule resolution. This chapter describes an RNA FISH method to directly visualize individual segment-specific bunyavirus RNAs in fixed infected cells and in mature virus particles, using Rift Valley fever virus as an example. Imaging of bunyavirus RNA segments is a valuable experimental tool to investigate fundamental aspects of the bunyavirus life cycle, such as virus replication, genome packaging, and virion assembly, among others.

Comparison of interaction between antimiR and microRNA versus HDO-antimiR and microRNA by molecular dynamics simulation.

Recently, we found DNA/RNA heteroduplex oligonucleotide-based antimiR (HDO-antimiR) can more efficiently inhibit the target miRNA than conventional antimiR after its cellular uptake. But the mechanism of HDO-antimiR about the target-silencing is unknown. We here tried to elucidate the interaction mechanism of HDO-antimiR to miRNA using molecular dynamics (MD) simulation. When interaction of the conventional antimiR or HDO-antimiR and the target miRNA was simulated, they combined with each other in various forms. In the hydrogen bond analyses, base site of the antimiR formed hydrogen bond with miRNA. On the other hand, phosphate site of the HDO-antimiR formed hydrogen bond with miRNA. These results suggested that there were differences about the binding mechanisms between antimiR and HDO-antimiR to the target miRNA. In particular, there was a difference in the binding site between antimiR and HDO-antimiR. Additionally, it was found that guanine in the miRNA is mainly involved in the binding to the antimiR or HDO-antimiR. MD simulation method is useful in understanding the mechanism of oligonucleotide therapeutics.