Search

Spatial transcriptomics technologies are providing new insights to study gene expression, allowing researchers to investigate the spatial organization of transcriptomes in cells and tissues. This approach enables the creation of high-resolution maps of gene expression patterns within their native spatial context, adding an extra layer of information to bulk sequencing data. Spatial transcriptomics has expanded significantly in recent years and is making a notable impact on a range of fields, including tissue architecture, developmental biology, cancer, neurodegenerative and infectious diseases. The latest advancements in spatial transcriptomics have resulted in the development of highly multiplexed methods, transcriptomic-wide analysis, and single-cell resolution, utilizing diverse technological approaches. In this perspective, we provide a detailed analysis of the molecular foundations behind the main spatial transcriptomics technologies, including methods based on microdissection, in situ sequencing, single-molecule FISH, spatial capturing, selection of regions of interest and single-cell or nuclei dissociation. We contextualize the detection and capturing efficiency, strengths, limitations, tissue compatibility, and applications of these techniques, as well as provide information on data analysis. In addition, this perspective discusses future directions and potential applications of spatial transcriptomics, highlighting the importance of the continued development to promote widespread adoption of these techniques within the research community.

The detection of repetitive sequences with single-base resolution is becoming increasingly important aiming to understand the biological implications of genomic variation in these sequences. However, there is a lack of techniques to experimentally validate sequencing data from repetitive sequences obtained by Next-Generation Sequencing methods, especially in the case of Single-Nucleotide Variations (SNVs). That is one of the reasons why repetitive sequences have been poorly studied and excluded from most genomic studies. Therefore, in addition to sequencing data, there is an urgent need for efficient validation methods of genomic variation in these sequences. Herein we report the development of chemFISH, an alternative method for the detection of SNVs in repetitive sequences. ChemFISH is an innovative method based on dynamic chemistry labelling and abasic Peptide Nucleic Acid (PNA) probes to detect in situ the α-satellite DNA, organized in tandem repeats, with single-base resolution in a direct and rapid reaction. With this approach, we detected by microscopy the α-satellite DNA in a variety of human cell lines, we quantified the detection showing a low coefficient of variation among samples (13.16%-25.33%) and we detected single-base specificity with high sensitivity (82.41%-88.82%). These results indicate that chemFISH can serve as a rapid method to validate previously detected SNVs in sequencing data, as well as to find novel SNVs in repetitive sequences. Furthermore, the versatile chemistry behind chemFISH can lead to develop novel molecular assays for the in situ detection of nucleic acids.

miRNAs are well known for being implicated in a myriad of biological situations, including those related to serious diseases. Amongst miRNAs, miRNA-21 has the spotlight as it is reported to be up-regulated in multiple severe pathological conditions, being its quantification a key point in medicine. To date, most of the techniques for miRNA quantification have shown to be less effective than expected; thus, we herein present a novel, rapid, cost-effective, robust and PCR-free approach, based on dynamic chemistry, for the identification and quantification of miRNA directly from tumour cells using both FACS and a fluorescent microplate. This dynamic chemistry novel application involves bead based reagents and allows quantifying the number of miR-21 molecules presented in MDA-MB-468 and H1975 tumour cells.

Nucleic acid-based molecular diagnosis has gained special importance for the detection and early diagnosis of genetic diseases as well as for the control of infectious disease outbreaks. The development of systems that allow for the detection and analysis of nucleic acids in a low-cost and easy-to-use way is of great importance. In this context, we present a combination of a nanotechnology-based approach with the already validated dynamic chemical labeling (DCL) technology, capable of reading nucleic acids with single-base resolution. This system allows for the detection of biotinylated molecular products followed by simple detection using a standard flow cytometer, a widely used platform in clinical and molecular laboratories, and therefore, is easy to implement. This proof-of-concept assay has been developed to detect mutations in KRAS codon 12, as these mutations are highly important in cancer development and cancer treatments., Graphical abstract Image 1, Highlights • A nanotechnology-based approach for capturing and detecting nucleic acids by flow cytometry has been developed. • A great advantage is that molecular reactions are taking place in solution while the reading is done by using flow cytometry. • Detection of KRAS codon 12 and miR-122 sequences using this approach has been successfully carried out. • This approach will have a clear impact in molecular diagnostic.

We would like to extend our gratitude to the all the patients and the healthy volunteers who participated in the study, as well as the University of Granada, Biomedicine PhD program. This work was supported by Roche Spain, the PhD grant from the University of Granada (DdMP) (2014) and the PhD grant from the Spanish Government (ARM) (FPU) 2014, REF FPU14/05461., Disseminated disease is present in ≈50% of colorectal cancer patients upon diagnosis, being responsible for most of cancer deaths. Addition of biological drugs, as Bevacizumab, to chemotherapy, has increased progression free survival and overall survival of metastatic colorectal cancer (mCRC) patients. However, these benefits have been only reported in a small proportion of patients. To date, there are not biomarkers that could explain the heterogeneity of this disease and would help in treatment selection. Recent findings demonstrated that microRNAs (miRNAs) play an important role in cancer and they can be encapsulated with high stability into extracellular vesicles (EVs) that are released in biological fluids. EVs can act as cell-to-cell communicators, transferring genetic information, such as miRNAs. In this context, we aimed to investigate serum EV associated miRNAs (EV-miRNAs) as novel non-invasive biomarkers for the diagnosis and prognosis of Bevacizumab-treated mCRC patients. We observed that baseline miRNA-21 and 92a outperformed carcinoembryonic antigen levels in the diagnosis of our 44 mCRC patients, compared to 17 healthy volunteers. In addition, patients who died presented higher levels of miRNA-92a and 222 at 24 weeks. However, in the multivariate Cox analysis, higher levels of miRNA-222 at 24 weeks were associated with lower overall survival. Altogether, these data indicate that EV-miRNAs have a strong potential as liquid biopsy biomarkers for the identification and prognosis of mCRC., Roche Spain, University of Granada (DdMP), Spanish Government REF FPU14/05461

A novel sensitive, specific and rapid method for the detection and quantification of microRNAs without requiring extraction from their biological sources is now available using a novel chemical based, PCR-free technology for nucleic acid testing. In this study, we both demonstrate how this method can be used to profile miR-451a, an important miRNA in erythropoiesis, and compare with the gold standard RT-qPCR.

Sensitive viral diagnostic methods are increasingly in demand to tackle emerging epidemics. The Zika virus (ZIKV) is particularly relevant in tropical resource limited settings (RLS) and is associated with intermittent epidemics such as the recent 2016 ZIKV outbreak in South America, wherein Zika fever was classified by WHO as a public health emergency of international concern. Thus, there is an urgent need for widespread Zika fever diagnostics and efficient drug therapies. ZIKV diagnostics are typically performed using RT-qPCR in centralized laboratories. While extremely sensitive, RT-qPCR requires rapid heating-cooling cycles, combined with continuous fluorescence measurements to allow quantification, implying high costs and limiting availability of molecular diagnostics in RLS. Here, we report isothermal amplification of ZIKV cDNA using padlock probes followed by two rounds of Rolling Circle Amplification (RCA), termed as circle-to-circle amplification (C2CA), combined with a microfluidic affinity chromatography enrichment (μACE) platform. This platform allowed the detection of