Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1283528 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Use of tape stripping for the collection of stratum corneum is a versatile and reliable procedure for the evaluation of the human skin health, including assessments of the skin barrier function, microbial content, and disease biomarkers. The tape stripping procedure is widely referenced; however, the number and type of tapes required for sample collection vary considerably, and the lack of standardized sampling, processing and normalization protocols complicate data comparison and interpretation. We have compared the performances of two commonly used non-invasive skin sampling platforms by collecting skin tissue from 34 healthy volunteers and applying standardization throughout the workflow, from sampling to data analysis. Our results showed significant differences in the amounts of tissue collected per tape, erythema levels, RNA and protein yields. RNA extracts from both platforms were suitable for sequencing; comparable input and quality of reads were produced for both test groups, however significant differences were found in the percentage of uniquely mapped reads and detected genes. This data highlights processing optimization as an important step in maximizing the efficiency of biomolecule extraction from tape strips and further presents a tape stripping method suitable for fast, efficient, and non-invasive epidermal tissue collection applicable to skin biomarker discovery.
2024-04-24 | GSE262827 | GEO
Project description:Development of a real-time PCR based molecular classifier to distinguish psoriasis from eczema in FFPE-fixed skin samples and evaluation of the use of minimally invasive microbiopsies and tape strips for molecular diagnosis.
2023-03-01 | GSE223799 | GEO
Project description:Candida albicans is the most common human fungal pathogen, causing diseases ranging from local to life-threating systemic infections. Tyrosine kinase 2 (TYK2), a crucial mediator in several cytokine signaling pathways, has been associated with protective functions in various microbial infections. However, its specific contribution in the immune response to fungal infections has remained elusive. In this study, we show that mice lacking TYK2 or its enzymatic activity exhibit enhanced resistance to C. albicans skin infections, limiting fungal spread and accelerating wound healing. Impaired TYK2-signaling prompted the formation of a distinctive layer of necrotic neutrophils around the fungal pathogens. Transcriptomic analysis revealed TYK2's pivotal role in regulating interferon-inducible genes in neutrophils, thereby impacting their antifungal capacity during infection. Furthermore, we show that TYK2-dependent interferon-gamma (IFNg) production contributes to fungal dissemination from the skin to the kidneys. Our study uncovers a hitherto unrecognized detrimental role of TYK2 in cutaneous C. albicans infections.
2024-10-14 | GSE278915 | GEO
Project description:Endomyocardial biopsy (EMB) is the gold standard for diagnosis of several heart diseases, yet its use is limited by relatively low diagnostic yield and significant complication risks. To address this, we have developed an endovascular micro-biopsy (Micro-EMB) device with an outer diameter of 0.4 mm in order to minimize procedural risk, sampling trauma, and increase sampling specificity. We have performed RNA-seq on the resulting submilligram tissue as well as controls. The gene expression signatures were compared between Micro-EMBs and conventional EMB controls, as well as negative controls such as blood and skeletal muscle.
2020-05-21 | GSE124783 | GEO
Project description:Current prostate cancer prognostic models are based on pre-treatment prostate-specific antigen (PSA) levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict clinical disease progression. Hence, we sought to develop a molecular panel for prostate cancer progression by reasoning that molecular profiles might further improve current clinical models. We analyzed a Swedish Watchful Waiting cohort (1977â1999) with up to 30 years of clinical follow up using a novel method for gene expression profiling. This cDNA-mediated annealing, selection, ligation, and extension (DASL) method enabled the use of formalin-fixed paraffin-embedded transurethral resection of prostate (TURP) samples taken at the time of the initial diagnosis. We determined the expression profiles of 6100 genes for 281 men divided in two extreme groups: men who died of prostate cancer or developed metastases and men who survived more than 10 years without metastases (lethals and indolents, respectively). Several models using clinical and molecular features were evaluated for their ability to distinguish lethal from indolent cases. Surprisingly, none of the predictive models using molecular profiles significantly improved over models using clinical variables only. We reasoned that tumor sampling might preclude the identification of the dominant metastatic nodule. Additional computational analysis confirmed that molecular heterogeneity within both the lethal and indolent classes is widespread in prostate cancer as compared to other types of tumors. Thus the determination of the molecularly dominant tumor nodule may be limited by sampling at time of initial diagnosis, may not be present at time of initial diagnosis, or may occur as the disease progresses preventing the development of molecular biomarkers for prostate cancer progression. 281 cases from the population-based Swedish-Watchful Waiting cohort. The cohort consists of men with localized prostate cancer (clinical stage T1-T2, Mx, N0); Training set: first 186 samples; Validation cohort: remaining 95 cases from the same population.
2010-05-07 | E-GEOD-16560 | biostudies-arrayexpress
Project description:RATIONALE: Gathering information about how often fungal infections of the blood occur in patients with cancer or in patients who have undergone stem cell transplant may help doctors learn more about the disease.
PURPOSE: This natural history study is collecting information about fungal infections of the blood over time from patients with cancer or from patients who have undergone a stem cell transplant.
| 2037924 | ecrin-mdr-crc
Project description:Current prostate cancer prognostic models are based on pre-treatment prostate-specific antigen (PSA) levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict clinical disease progression. Hence, we sought to develop a molecular panel for prostate cancer progression by reasoning that molecular profiles might further improve current clinical models. We analyzed a Swedish Watchful Waiting cohort (1977–1999) with up to 30 years of clinical follow up using a novel method for gene expression profiling. This cDNA-mediated annealing, selection, ligation, and extension (DASL) method enabled the use of formalin-fixed paraffin-embedded transurethral resection of prostate (TURP) samples taken at the time of the initial diagnosis. We determined the expression profiles of 6100 genes for 281 men divided in two extreme groups: men who died of prostate cancer or developed metastases and men who survived more than 10 years without metastases (lethals and indolents, respectively). Several models using clinical and molecular features were evaluated for their ability to distinguish lethal from indolent cases. Surprisingly, none of the predictive models using molecular profiles significantly improved over models using clinical variables only. We reasoned that tumor sampling might preclude the identification of the dominant metastatic nodule. Additional computational analysis confirmed that molecular heterogeneity within both the lethal and indolent classes is widespread in prostate cancer as compared to other types of tumors. Thus the determination of the molecularly dominant tumor nodule may be limited by sampling at time of initial diagnosis, may not be present at time of initial diagnosis, or may occur as the disease progresses preventing the development of molecular biomarkers for prostate cancer progression.
2010-03-05 | GSE16560 | GEO
Project description:Ultrasound-guided fine-needle aspiration (US-FNA) biopsy is a widely used minimally invasive sampling procedure for cytological diagnosis. This study investigates the feasibility of using US-FNA samples for both cytological diagnosis and whole transcriptome RNA-sequencing analysis (RNA-Seq), with the ultimate aim of improving canine prostate cancer management. The feasibility of the US-FNA procedure was evaluated intra vitam on 43 dogs. Additionally, aspirates from 31 euthanised dogs were collected for standardising the procedure. Each aspirate was separated into two subsamples: for cytology and RNA extraction. Additional prostate tissue samples served as control for RNA quantity and quality evaluation, and differential expression analysis. The US-FNA sampling procedure was feasible in 95% of dogs. RNA isolation of US-FNA samples was successfully performed using phenol-chloroform extraction. The extracted RNA of 56% of a subset of US-FNA samples met the quality requirements for RNA-seq. Expression analysis revealed that only 153 genes were exclusively differentially expressed between non-malignant US-FNAs and tissues. Moreover, only 36 differentially expressed genes were associated with the US-FNA sampling technique and unrelated to the diagnosis. Furthermore, the gene expression profiles clearly distinguished between non-malignant and malignant samples. This proves US-FNA to be useful for molecular profiling.
2019-10-08 | GSE122916 | GEO
Project description:Endovascular Device for Endothelial Cell Sampling
| PRJNA812000 | ENA