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high throughput next generation rna sequencing  (Adaptive Biotechnologies Corp)

 
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    Adaptive Biotechnologies Corp high throughput next generation rna sequencing
    High Throughput Next Generation Rna Sequencing, supplied by Adaptive Biotechnologies Corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/high+throughput+next+generation+rna+sequencing/high+throughput+next+generation+rna+sequencing/pmc07308553-203-14-20
    Average 90 stars, based on 1 article reviews
    high throughput next generation rna sequencing - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    High Throughput Screening Assay:

    Article Title: Novel MHC-Independent αβTCRs Specific for CD48, CD102, and CD155 Self-Proteins and Their Selection in the Thymus
    Article Snippet: .. TCRα and β repertoire sequences for all indicated mouse strains were obtained by high throughput next generation RNA sequencing through Adaptive Biotechnologies Corp. and iRepertoire, Inc. Three or more animals from each strain were sequenced. ..

    RNA Sequencing:

    Article Title: Novel MHC-Independent αβTCRs Specific for CD48, CD102, and CD155 Self-Proteins and Their Selection in the Thymus
    Article Snippet: .. TCRα and β repertoire sequences for all indicated mouse strains were obtained by high throughput next generation RNA sequencing through Adaptive Biotechnologies Corp. and iRepertoire, Inc. Three or more animals from each strain were sequenced. ..



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    Summary characteristics of <t> 16S </t> <t> rRNA </t> sequence reads from fecal samples of rats fed 11% sugar solutions containing varying fructose-to-glucose ratios 1
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    Image Search Results


    (A) Expression level of selected dysregulated transcripts NTMT1-204, BLOC1S6-218 and DCTN1-205 using patient data retrieved from UCSC Xena browser (n TCGA Tumor = 288, n TCGA Adjacent Non-Tumor Tissue = 41, n GTEx = 308). Data are presented as mean ± standard deviation (SD). **** P < .0001, n-number of samples. (B) Expression level of NTMT1-204 across colorectal cancer stages I-IV using patient data retrieved from UCSC Xena browser (n Stage I = 44, n Stage II = 109, n Stage III = 80, n Stage IV = 40). ** P < .01, n-number of samples. Data are derived from TCGA bulk RNA-seq, and observed expression patterns may be influenced by tumor purity and the presence of non-epithelial cell populations.

    Journal: Cancer Informatics

    Article Title: Comparative RNA-Seq Analysis of Colon Spheroids and Patient-derived Tissues Identifies Non-Canonical Transcript Isoforms of Protein-Coding Genes Implicated in Colon Carcinogenesis

    doi: 10.1177/11769351251396250

    Figure Lengend Snippet: (A) Expression level of selected dysregulated transcripts NTMT1-204, BLOC1S6-218 and DCTN1-205 using patient data retrieved from UCSC Xena browser (n TCGA Tumor = 288, n TCGA Adjacent Non-Tumor Tissue = 41, n GTEx = 308). Data are presented as mean ± standard deviation (SD). **** P < .0001, n-number of samples. (B) Expression level of NTMT1-204 across colorectal cancer stages I-IV using patient data retrieved from UCSC Xena browser (n Stage I = 44, n Stage II = 109, n Stage III = 80, n Stage IV = 40). ** P < .01, n-number of samples. Data are derived from TCGA bulk RNA-seq, and observed expression patterns may be influenced by tumor purity and the presence of non-epithelial cell populations.

    Article Snippet: High-throughput next generation RNA sequencing was performed by Novogene (UK) Company Limited (Cambridge, United Kingdom).

    Techniques: Expressing, Standard Deviation, Derivative Assay, RNA Sequencing

    Summary characteristics of 16S rRNA sequence reads from fecal samples of rats fed 11% sugar solutions containing varying fructose-to-glucose ratios 1

    Journal: The Journal of Nutrition

    Article Title: Early-Life Sugar Consumption Affects the Rat Microbiome Independently of Obesity 1 2 3

    doi: 10.3945/jn.116.238816

    Figure Lengend Snippet: Summary characteristics of 16S rRNA sequence reads from fecal samples of rats fed 11% sugar solutions containing varying fructose-to-glucose ratios 1

    Article Snippet: Fecal microbiome populations were identified by using next-generation high-throughput sequencing of the V3–V4 variable region of 16S ribosomal RNA (rRNA; Vaiomer SAS).

    Techniques: Sequencing, Generated