Relevant bibliographies by topics / Molecular medicine, gene expression analysis, clinical samples, technical optimization

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Molecular medicine, gene expression analysis, clinical samples, technical optimization'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Molecular medicine, gene expression analysis, clinical samples, technical optimization"

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García Aranda, Marilina, Inmaculada López-Rodríguez, Susana García-Gutiérrez, et al. "Laboratory protocol for the digital multiplexed gene expression analysis of nasopharyngeal swab samples using the NanoString nCounter system." F1000Research 11 (September 30, 2022): 133. http://dx.doi.org/10.12688/f1000research.103533.2.

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This paper describes a laboratory protocol to perform the NanoString nCounter Gene Expression Assay from nasopharyngeal swab samples. It is urgently necessary to identify factors related to severe symptoms of respiratory infectious diseases, such as COVID-19, in order to assess the possibility of establishing preventive or preliminary therapeutic measures and to plan the services to be provided on hospital admission. At present, the samples recommended for microbiological diagnosis are those taken from the upper and/or the lower respiratory tract. The NanoString nCounter Gene Expression Assay
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García Aranda, Marilina, Inmaculada López-Rodríguez, Susana García-Gutiérrez, et al. "Laboratory protocol for the digital multiplexed gene expression analysis of nasopharyngeal swab samples using the NanoString nCounter system." F1000Research 11 (February 2, 2022): 133. http://dx.doi.org/10.12688/f1000research.103533.1.

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This paper describes a laboratory protocol to perform the NanoString nCounter Gene Expression Assay from nasopharyngeal swab samples. It is urgently necessary to identify factors related to severe symptoms of respiratory infectious diseases, such as COVID-19, in order to assess the possibility of establishing preventive or preliminary therapeutic measures and to plan the services to be provided on hospital admission. At present, the samples recommended for microbiological diagnosis are those taken from the upper and/or the lower respiratory tract. The NanoString nCounter Gene Expression Assay
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Bhende, Manisha, Anuradha Thakare, Bhasker Pant, Piyush Singhal, Swati Shinde, and V. Saravanan. "Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection." BioMed Research International 2022 (June 28, 2022): 1–12. http://dx.doi.org/10.1155/2022/4609625.

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Breast cancer is the most common cancer in women, and the breast mass recognition model can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image samples makes the recognition model prone to overfitting. A breast mass recognition model integrated with deep pathological information mining is proposed: constructing a sample selection strategy, screening high-quality samples across different mammography image datasets, and dealing with the scarcity of medical image samples from the perspective of data enhancement; mining the pathology contained in limited labele
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Teng, Pai-Chi, Yu Jen Jan, Jie-Fu Chen, et al. "Prostate cancer CTC-RNA Assay: A new method for contemporary genomics and precision medicine via liquid biopsy." Journal of Clinical Oncology 38, no. 6_suppl (2020): 170. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.170.

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170 Background: Transcriptome-based analysis has begun to reshape the approach to prostate cancer (PC). Two different gene expression signatures have shown that PC can be divided into 3 subclasses reflecting luminal-basal biology. These subtypes point toward biological drivers that may strongly influence how care should be personalized including optimization of androgen receptor targeted therapy. The majority of work done in this area has been based on tissue-based gene expression. With the advent of newer nanotechnology platforms for isolation of circulating tumor cells (CTCs), profiling of P
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Williams, Marc A. "Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth." Biomarker Insights 5 (January 2010): BMI.S6094. http://dx.doi.org/10.4137/bmi.s6094.

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Commercially available platforms to stabilize messenger RNA (mRNA) and microRNA are critically designed to optimize and ensure the quality and integrity of those nucleic acids. This is not only essential for gene expression analyses, but would provide technical utility in providing concordant standard operating procedures in preserving the structural integrity of RNA species in multicenter clinical research programs and biobanking of cells or tissues for subsequent isolation of intact RNA. The major challenge is that the presence of degraded samples may adversely influence the interpretation o
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Hether, Tyler, Tim Howes, Christine Spencer, et al. "305 Technical considerations for normalizing digital spatial profiling data with multiple within-patient samples." Journal for ImmunoTherapy of Cancer 8, Suppl 3 (2020): A332. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0305.

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BackgroundNanoString’s GeoMx Digital Spatial Profiling (DSP) technology enables profiling of gene or protein expression from fresh or archival tissues. Specific regions of interest (ROIs) are identified via fluorescently labeled visualization markers. Within a given ROI, oligonucleotide tags from labeled, incubated antibodies can be released by area of interest (AOI)-specific exposure to UV light. With DSP, multiple AOIs can be collected within an individual tissue and/or within an individual patient. As with other technologies, technical variation that needs to be accounted before meaningful
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Zhang, Kefen, Kaisheng Xie, Xin Huo, et al. "Development and Optimization of a Prognostic Model Associated with Stemness Genes in Hepatocellular Carcinoma." BioMed Research International 2022 (October 5, 2022): 1–28. http://dx.doi.org/10.1155/2022/9168441.

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Hepatocellular carcinoma (HCC) is one of the most lethal cancers worldwide, which is associated with a variety of risk factors. Cancer stem cells are self-renewal cells, which can promote the occurrence and metastasis of tumors and enhance the drug resistance of tumor treatment. This study aimed to develop a stemness score model to assess the prognosis of hepatocellular carcinoma (HCC) patients for the optimization of treatment. The single-cell sequencing data GSE149614 was downloaded from the GEO database. Then, we compared the gene expression of hepatic stem cells and other hepatocytes in tu
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Xu, Congdi, Xinyu Hu, Yantao Fan, Ling Zhang, Zhengliang Gao, and Chunhui Cai. "Wif1 Mediates Coordination of Bone Morphogenetic Protein and Wnt Signaling in Neural and Glioma Stem Cells." Cell Transplantation 31 (January 2022): 096368972211345. http://dx.doi.org/10.1177/09636897221134540.

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Wnts, bone morphogenetic protein (BMP), and fibroblast growth factor (FGF) are paracrine signaling pathways implicated in the niche control of stem cell fate decisions. BMP-on and Wnt-off are the dominant quiescent niche signaling pathways in many cell types, including neural stem cells (NSCs). However, among the multiple inhibitory family members of the Wnt pathway, those with direct action after BMP4 stimulation in NSCs remain unclear. We examined 11 Wnt inhibitors in NSCs after BMP4 treatment. Wnt inhibitory factor 1 (Wif1) has been identified as the main factor reacting to BMP4 stimuli. RN
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Kryuchko, T., V. Shcherbak, L. Bubyr, O. Izmailova, and O. Tkachenko. "STUDY OF THE CIRCADIAN MOLECULAR CLOCK IN PAEDIATRIC PATIENTS WITH SEASONAL ALLERGIC RHINITIS: POTENTIAL APPROACHES TO TREATMENT." Neonatology, surgery and perinatal medicine 8, no. 4(50) (2023): 49–56. http://dx.doi.org/10.24061/2413-4260.xiii.4.50.2023.6.

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Understanding of the relationship between the circadian molecular clock and allergic diseases continues to be studied and may be of practical importance for further selection of optimal treatment. The aim of this study was to evaluate the degree of mRNA expression of the circadian molecular clock genes bmal1 and per1 in buccal epithelial cells and to investigate the effi cacy of protocol treatment in children with seasonal allergic rhinitis, taking into account the time dependence. Material and methods. The study included 20 patients aged 6 to 17 years with a confi rmed diagnosis of seasonal a
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Harding, Taylor, Qidi Yang, Brittany Mineo, et al. "73 Characterization of tumor-infiltrating T-cell repertoire in human cancers." Journal for ImmunoTherapy of Cancer 9, Suppl 2 (2021): A81. http://dx.doi.org/10.1136/jitc-2021-sitc2021.073.

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BackgroundTCR and BCR repertoire profiling is a promising technique that can provide a clinically useful window into the complex interactions between tumor cells and infiltrating lymphocytes. Despite recent advances in repertoire sequencing methods, the characterization of tumor-infiltrating T-cell repertoires has been limited to small sample sizes due to technical and material constraints. In this study, we constructed a large multidimensional database of repertoire data covering a diverse landscape of HLA genotypes and tumor neoantigens from routine clinical sequencing. We present a descript
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Dissertations / Theses on the topic "Molecular medicine, gene expression analysis, clinical samples, technical optimization"

1

Dotti, Isabella. "Towards molecular medicine:optimization of the methods for gene expression analysis in clinical samples." Doctoral thesis, Università degli studi di Trieste, 2008. http://hdl.handle.net/10077/2626.

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2006/2007<br>The advent of molecular “-omics” technologies enabled an unprecedented view into the inner molecular mechanisms of cancer and enhanced optimism towards a patient-tailored vision of medicine. The successful application of these molecular approaches in the discovery of candidate biomarker has accelerated the shift towards personalization of medicine. Indeed, biomarkers hold great promise for refining our ability to establish early diagnosis and prognosis, and to predict response to therapy. The develoment of clinically useful biomarkers would be impossible without access to human bi
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