Results 1 to 10 of about 221,267 (266)

Applications of single‐cell sequencing for the field of otolaryngology: A contemporary review

Laryngoscope Investigative Otolaryngology, 2020
Objectives Single‐cell RNA sequencing (scRNA‐Seq) is a new technique used to interrogate the transcriptome of individual cells within native tissues that have already resulted in key discoveries in auditory basic science research. Rapid advances in scRNA‐
Madeline P. Pyle, Michael Hoa
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Can single cell RNA sequencing reshape the clinical biochemistry of hematology: New clusters of circulating blood cells

Clinical and Translational Medicine, 2021
scRNA‐seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision‐making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome.
Hao Fang, Yiming Zeng, Lianzhong Zhang, Chengshui Chen, Charles A Powell, Xiangdong Wang   +5 more
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Single-cell RNA sequencing of bronchoscopy specimens: development of a rapid minimal handling protocol

BioTechniques, 2023
Single-cell RNA sequencing (scRNA-seq) is an important tool for understanding disease pathophysiology, including airway diseases. Currently, the majority of scRNA-seq studies in airway diseases have used invasive methods (airway biopsy, surgical ...
Firoozeh V Gerayeli, Stephen Milne, Chen Xi Yang, Xuan Li, Elizabeth Guinto, Julia Shun-Wei Yang, Chung Yan Cheung, Tara R Stach, Tawimas Shaipanich, Janice M Leung, Don D Sin   +10 more
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Single-Cell Sequencing on Marine Life: Application and Future Development

Frontiers in Marine Science, 2022
Single-cell RNA-sequencing (scRNA-seq) is the genomic approach that directly examines gene expression information from individual cells and provides a higher resolution of cellular differences than bulk RNA-seq.
Jing Li, Jing Li, Hao Wang, Chaolun Li, Chaolun Li, Chaolun Li   +5 more
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Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing

Cells, 2020
The present review discusses recent progress in single-cell RNA sequencing (scRNA-seq), which can describe cellular heterogeneity in various organs, bodily fluids, and pathologies (e.g., cancer and Alzheimer’s disease).
Rishikesh Kumar Gupta, Jacek Kuznicki
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Comparative Toxicotranscriptomics of Single Cell RNA-Seq and Conventional RNA-Seq in TCDD-Exposed Testicular Tissue

Frontiers in Toxicology, 2022
In this report, we compare the outcomes and limitations of two methods of transcriptomic inquiry on adult zebrafish testes exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) during sexual differentiation: conventional or bulk RNA-seq (bulk-seq) and ...
Alex Haimbaugh, Danielle Meyer, Danielle Meyer, Danielle Meyer, Camille Akemann, Katherine Gurdziel, Tracie R. Baker, Tracie R. Baker, Tracie R. Baker   +8 more
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Evaluating cell-specific gene expression using single-cell and single-nuclei RNA-sequencing data from human pancreatic islets of the same donors

Scientific Reports
Single-cell and single-nuclei RNA-sequencing (scRNA-seq and snRNA-seq) analyze cell-specific transcriptomes. However, only snRNA-seq applies to frozen biobanked samples.
Karin Engström, Åsa Nilsson, Jones K. Ofori, Nils Wierup, Karl Bacos, Charlotte Ling   +5 more
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ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex

Frontiers in Neuroscience, 2018
Single-cell mRNA sequencing (scRNA-seq) is a powerful method to identify and classify cell types and reconstruct differentiation trajectories within complex tissues, such as the developing human cortex.
Jorge Kageyama, Damian Wollny, Barbara Treutlein, Barbara Treutlein, Barbara Treutlein, J. Gray Camp   +5 more
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An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data [version 2; peer review: 2 approved]

F1000Research, 2019
Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells. While there have been methods and software specifically developed to analyze scRNA-seq data, they are most accessible
Clarence K. Mah, Alexander T. Wenzel, Edwin F. Juarez, Thorin Tabor, Michael M. Reich, Jill P. Mesirov   +5 more
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Leveraging Single-Cell RNA-seq Data to Uncover the Association Between Cell Type and Chronic Liver Diseases

Frontiers in Genetics, 2021
BackgroundComponents of liver microenvironment is complex, which makes it difficult to clarify pathogenesis of chronic liver diseases (CLD). Genome-wide association studies (GWASs) have greatly revealed the role of host genetic background in CLD ...
Xiangyu Ye, Julong Wei, Ming Yue, Yan Wang, Hongbo Chen, Yongfeng Zhang, Yifan Wang, Meiling Zhang, Peng Huang, Rongbin Yu   +9 more
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