Transcriptomics
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AIM: To investigate the effect of acute (daily) inhalation of nanoparticles (NPs) on the transcriptomic profile of male nanocomposite research workers with a history of long-term exposure (years). MATERIALS & METHODS: Whole genome mRNA and miRNA expression changes were analyzed from blood samples collected before and after machining or welding. Exposure in the work environment was assessed using stationary and personal monitoring. RESULTS: Following PM0.1 exposure, a significant decrease in the expression of DDIT4 and FKBP5, genes involved in the stress response, was detected in exposed workers. In the Machining group, the DDIT4 expression correlated with the exposure dose. Increased levels of miR30-d-5p and miR-3613-5p (both involved in carcinogenesis) in welders were associated with the NP exposure dose, highlighting their potential suitability as inhalation exposure markers. CONCLUSION: The results from this pilot transcriptomic analysis (mRNA and miRNA) indicate that exposure to NPs contributes to immune system deregulation and alters the pathways related to cancer. Therefore, the use of protective equipment, as well as obtaining more data by additional research, is highly recommended.
- MeSH
- dospělí MeSH
- inhalační expozice škodlivé účinky analýza MeSH
- lidé středního věku MeSH
- lidé MeSH
- messenger RNA genetika krev MeSH
- mikro RNA genetika krev MeSH
- nanočástice * škodlivé účinky MeSH
- pracovní expozice * škodlivé účinky analýza MeSH
- stanovení celkové genové exprese MeSH
- transkriptom * účinky léků MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Spatial transcriptomics is revolutionizing modern biology, offering researchers an unprecedented ability to unravel intricate gene expression patterns within tissues. From pioneering techniques to newly commercialized platforms, the field of spatial transcriptomics has evolved rapidly, ushering in a new era of understanding across various disciplines, from developmental biology to disease research. This dynamic expansion is reflected in the rapidly growing number of technologies and data analysis techniques developed and introduced. However, the expanding landscape presents a considerable challenge for researchers, especially newcomers to the field, as staying informed about these advancements becomes increasingly complex. To address this challenge, we have prepared an updated review with a particular focus on technologies that have reached commercialization and are, therefore, accessible to a broad spectrum of potential new users. In this review, we present the fundamental principles of spatial transcriptomic methods, discuss the challenges in data analysis, provide insights into experimental considerations, offer information about available resources for spatial transcriptomics, and conclude with a guide for method selection and a forward-looking perspective. Our aim is to serve as a guiding resource for both experienced users and newcomers navigating the complex realm of spatial transcriptomics in this era of rapid development. We intend to equip researchers with the necessary knowledge to make informed decisions and contribute to the cutting-edge research that spatial transcriptomics offers.
- MeSH
- lidé MeSH
- stanovení celkové genové exprese * metody MeSH
- transkriptom * MeSH
- výpočetní biologie metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Avian egg white is essential for protecting and nourishing bird embryos during their development. Being produced in the female magnum, variability in hen oviduct gene expression may affect egg white composition in domestic chickens. Since traditional poultry breeds may represent a source of variation, in the present study we describe the egg white proteome (mass spectrometry) and corresponding magnum transcriptome (high-throughput sequencing) for 20 hens from five domestic fowl breeds (large breeds: Araucana, Czech golden pencilled, Minorca; and small breeds: Booted bantam, Rosecomb bantam). In total, we identified 189 egg white proteins and 16391 magnum-expressed genes. The majority of egg white protein content comprised proteins with an antimicrobial function. Despite general similarity, Between-class Principal Component Analysis revealed significant breed-specific variability in protein abundances, differentiating especially small and large breeds. Though we found strong association between magnum mRNA expression and egg white protein abundance across genes, coinertia analysis revealed no transcriptome/proteome costructure at the individual level. Our study is the first to show variation in protein abundances in egg white across chicken breeds with potential effects on egg quality, biosafety, and chick development. The observed interindividual variation probably results from post-transcriptional regulation creating a discrepancy between proteomic and transcriptomic data.
- MeSH
- hospodářská zvířata klasifikace genetika metabolismus MeSH
- kur domácí klasifikace genetika metabolismus MeSH
- proteom chemie genetika metabolismus MeSH
- proteomika MeSH
- stanovení celkové genové exprese MeSH
- vaječné proteiny chemie genetika metabolismus MeSH
- zvířata MeSH
- Check Tag
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the translation of experimental data into usable applications to improve personalized medicine in this field by creating an interdisciplinary network. It aims to provide opportunities for collaboration between stakeholders from complementary backgrounds, allowing the functions of different RNAs and their interactions to be more rapidly deciphered in the cardiovascular context for translation into the clinic, thus fostering personalized medicine and meeting a current public health challenge. Thus, this Action will advance studies on cardiovascular transcriptomics, generate innovative projects, and consolidate the leadership of European research groups in the field.COST (European Cooperation in Science and Technology) is a funding organization for research and innovation networks (www.cost.eu).
- Publikační typ
- časopisecké články MeSH
Extramedullary disease (EMD) is a high-risk feature of multiple myeloma (MM) and remains a poor prognostic factor, even in the era of novel immunotherapies. Here, we applied spatial transcriptomics (RNA tomography for spatially resolved transcriptomics [tomo-seq] [n = 2] and 10x Visium [n = 12]) and single-cell RNA sequencing (n = 3) to a set of 14 EMD biopsies to dissect the 3-dimensional architecture of tumor cells and their microenvironment. Overall, infiltrating immune and stromal cells showed both intrapatient and interpatient variations, with no uniform distribution over the lesion. We observed substantial heterogeneity at the copy number level within plasma cells, including the emergence of new subclones in circumscribed areas of the tumor, which is consistent with genomic instability. We further identified the spatial expression differences between GPRC5D and TNFRSF17, 2 important antigens for bispecific antibody therapy. EMD masses were infiltrated by various immune cells, including T cells. Notably, exhausted TIM3+/PD-1+ T cells diffusely colocalized with MM cells, whereas functional and activated CD8+ T cells showed a focal infiltration pattern along with M1 macrophages in tumor-free regions. This segregation of fit and exhausted T cells was resolved in the case of response to T-cell-engaging bispecific antibodies. MM and microenvironment cells were embedded in a complex network that influenced immune activation and angiogenesis, and oxidative phosphorylation represented the major metabolic program within EMD lesions. In summary, spatial transcriptomics has revealed a multicellular ecosystem in EMD with checkpoint inhibition and dual targeting as potential new therapeutic avenues.
Far from being devoid of life, Antarctic waters are home to Cryonotothenioidea, which represent one of the fascinating cases of evolutionary adaptation to extreme environmental conditions in vertebrates. Thanks to a series of unique morphological and physiological peculiarities, which include the paradigmatic case of loss of hemoglobin in the family Channichthyidae, these fish survive and thrive at sub-zero temperatures. While some of the distinctive features of such adaptations have been known for decades, our knowledge of their genetic and molecular bases is still limited. We generated a reference de novo assembly of the icefish Chionodraco hamatus transcriptome and used this resource for a large-scale comparative analysis among five red-blooded Cryonotothenioidea, the sub-Antarctic notothenioid Eleginops maclovinus and seven temperate teleost species. Our investigation targeted the gills, a tissue of primary importance for gaseous exchange, osmoregulation, ammonia excretion, and its role in fish immunity. One hundred and twenty genes were identified as significantly up-regulated in Antarctic species and surprisingly shared by red- and white-blooded notothenioids, unveiling several previously unreported molecular players that might have contributed to the evolutionary success of Cryonotothenioidea in Antarctica. In particular, we detected cobalamin deficiency signatures and discussed the possible biological implications of this condition concerning hematological alterations and the heavy parasitic loads typically observed in all Cryonotothenioidea.
- MeSH
- aklimatizace * MeSH
- nedostatek vitaminu B12 * genetika metabolismus MeSH
- ryby * genetika metabolismus MeSH
- transkriptom * MeSH
- vitamin B 12 metabolismus MeSH
- žábry metabolismus MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- srovnávací studie MeSH
- Geografické názvy
- Antarktida MeSH
BACKGROUND: Biopsy-based transcriptomics (BBT) was implemented in Central Europe in 2022 to improve kidney transplant diagnostics. Differences in diagnostic practices across transplant centers remain underexplored. METHODS: This retrospective multicenter study analyzed 474 kidney graft biopsies from 10 transplant centers between August 2022 and May 2024, where, besides routine histology, BBT using the Molecular Microscope Diagnostic System (MMDx) was performed. Differences in BBT indications and discrepancies between histology assessment by Banff 2022 and MMDx sign-outs among transplant centers were evaluated. RESULTS: Most centers used BBT in only 12%-31% of all performed biopsies, relying on histology alone for most diagnostic decisions. BBT indications varied across centers: 3 focused on histological no-rejection with clinical discrepancy (44%, 45%, and 70%), 2 on chronic or chronic-active antibody-mediated rejection (AMR; clinical discrepancy 44% and 48%), and 2 on borderline changes (clinical discrepancy 30% and 33%). BBT showed moderate agreement with histology (κ = 0.49), with similar discrepancy rates between high- and low-volume centers. Molecular AMR was found in 44% of probable AMR, 63% of active AMR, 63% of microvascular inflammation, C4d- and donor-specific antibody (DSA)-, 77% of chronic-active AMR, and 21% chronic AMR. Molecular T cell-mediated rejection (TCMR) was confirmed in 26% of histologically active TCMR, in 9% of chronic TCMR, and in 16% of borderline changes. In histologic no-rejection cases, molecular AMR was present in 10% of DSA- and 34% of DSA+ biopsies. CONCLUSIONS: A moderate discrepancy between histology and MMDx sign-outs was found regardless of the center volume. BBT indications notably varied among centers. Standardized indications should be defined to improve the integration of molecular diagnostics into routine care.
- Publikační typ
- časopisecké články MeSH
Adipose tissue is composed of adipocytes and cells from the stromal vascular fraction. In this issue of Cell Metabolism, Bäckdahl et al. (2021) use spatial transcriptomics to provide a first glimpse at the architecture of human adipose tissue. The authors identify distinct adipocyte subpopulations with specific metabolic features.
- MeSH
- lidé MeSH
- transkriptom * genetika MeSH
- tuková tkáň MeSH
- tukové buňky * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- komentáře MeSH
- práce podpořená grantem MeSH
Rare diseases may affect the quality of life of patients and be life-threatening. Therapeutic opportunities are often limited, in part because of the lack of understanding of the molecular mechanisms underlying these diseases. This can be ascribed to the low prevalence of rare diseases and therefore the lower sample sizes available for research. A way to overcome this is to integrate experimental rare disease data with prior knowledge using network-based methods. Taking this one step further, we hypothesized that combining and analyzing the results from multiple network-based methods could provide data-driven hypotheses of pathogenic mechanisms from multiple perspectives.We analyzed a Huntington's disease transcriptomics dataset using six network-based methods in a collaborative way. These methods either inherently reported enriched annotation terms or their results were fed into enrichment analyses. The resulting significantly enriched Reactome pathways were then summarized using the ontological hierarchy which allowed the integration and interpretation of outputs from multiple methods. Among the resulting enriched pathways, there are pathways that have been shown previously to be involved in Huntington's disease and pathways whose direct contribution to disease pathogenesis remains unclear and requires further investigation.In summary, our study shows that collaborative network analysis approaches are well-suited to study rare diseases, as they provide hypotheses for pathogenic mechanisms from multiple perspectives. Applying different methods to the same case study can uncover different disease mechanisms that would not be apparent with the application of a single method.
The interplay among different cells in a tissue is essential for maintaining homeostasis. Although disease states have been traditionally attributed to individual cell types, increasing evidence and new therapeutic options have demonstrated the primary role of multicellular functions to understand health and disease, opening new avenues to understand pathogenesis and develop new treatment strategies. We recently described the cellular composition and dynamics of the human oral mucosa; however, the spatial arrangement of cells is needed to better understand a morphologically complex tissue. Here, we link single-cell RNA sequencing, spatial transcriptomics, and high-resolution multiplex fluorescence in situ hybridisation to characterise human oral mucosa in health and oral chronic inflammatory disease. We deconvolved expression for resolution enhancement of spatial transcriptomic data and defined highly specialised epithelial and stromal compartments describing location-specific immune programs. Furthermore, we spatially mapped a rare pathogenic fibroblast population localised in a highly immunogenic region, responsible for lymphocyte recruitment through CXCL8 and CXCL10 and with a possible role in pathological angiogenesis through ALOX5AP. Collectively, our study provides a comprehensive reference for the study of oral chronic disease pathogenesis.
