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Image Search Results
Journal: Best Practice & Research. Clinical Rheumatology
Article Title: Laboratory evaluation of SARS-CoV-2 in the COVID-19 pandemic
doi: 10.1016/j.berh.2021.101660
Figure Lengend Snippet: EUA assay sensitivity and instructions for SARS-CoV-2 molecular assays.
Article Snippet:
Techniques: Control, Quantitative RT-PCR, Diagnostic Assay, Reverse Transcription, Luminex, Detection Assay, Reverse Transcription Polymerase Chain Reaction, CRISPR, Real-time Polymerase Chain Reaction, Sequencing, Multiplex Assay
Journal: Best Practice & Research. Clinical Rheumatology
Article Title: Laboratory evaluation of SARS-CoV-2 in the COVID-19 pandemic
doi: 10.1016/j.berh.2021.101660
Figure Lengend Snippet: EUA assay targets and specimen types for SARS-CoV-2 molecular assays.
Article Snippet:
Techniques: Control, Quantitative RT-PCR, Diagnostic Assay, Reverse Transcription, Luminex, Detection Assay, Reverse Transcription Polymerase Chain Reaction, CRISPR, Real-time Polymerase Chain Reaction, Sequencing, Multiplex Assay
Journal: Nature
Article Title: Single cell analysis reveals T cell infiltration in old neurogenic niches
doi: 10.1038/s41586-019-1362-5
Figure Lengend Snippet: a) CD8+ T cells from 6 old (24-29 months) male mice were FACS-isolated from the blood and perfused subventricular zones (SVZs) and analyzed by single cell RNA-sequencing using Smart-seq v4 (4 mice) or nested PCR (2 mice). Left: t-SNE plot of 247 CD8+ T cell transcriptomes, colored by source (blood=red and SVZ=orange). Each dot represents a single T cell transcriptome (n=4 old mice, 25-29 months); b) Expression of Ifng (IFNγ) and the checkpoint gene Pdcd1 (PD-1), represented as log-normalized counts. Each dot represents expression levels in one single cell. n=247 cells from 4 old (25-29 months) mice. Ifng *** FDR =2.89×10 −12 , Pdcd1 *** FDR =1.29×10 −40 , MAST differential expression test; c, d) Clonality of T cells in the blood or SVZs of old mice determined by TCR sequencing from Smart-seq v4 data using TraCeR (Mouse 1-4) (d) or by nested PCR of the TCR transcripts (Mouse 5, 6) (e). TCR-β sequence clones are ordered by decreasing frequency. T cell source is indicated in the bottom row. Dashed lines indicate transitions from expanded to unique TCR-β sequence clones; e) Percentage of T cells isolated from the SVZ or blood found in clones of increasing sizes; f) Venn diagram showing lack of overlap between T cell clones from old blood and brain (SVZ) for Mouse 1-4. Clones were designated as clonally expanded if the same TCR β-chain sequence was detected in multiple T cells.
Article Snippet: Reverse transcription was performed directly on the chip using the SMARTer chemistry from Clontech, and PCR was also performed on the chip using the
Techniques: Isolation, RNA Sequencing, Nested PCR, Expressing, Quantitative Proteomics, Sequencing, Clone Assay
Journal: Nature
Article Title: Single cell analysis reveals T cell infiltration in old neurogenic niches
doi: 10.1038/s41586-019-1362-5
Figure Lengend Snippet: a) t-SNE projections of 247 CD8+ T cell transcriptomes from old blood and old SVZ (as in ), colored by experimental replicate and individual mouse; b) Expression of the top 50 differentially expressed genes upregulated for 247 CD8+ T cells isolated from old blood or old brain (SVZ) of old mice. Heat map of log-normalized counts, with single cells clustered by the expression of the genes shown in the plot. c) Expression of Ifng in T cells from blood or brains (SVZs) of 2 old (24 months) mice, as measured by nested PCR. Mean +/− s.e.m. of percent of T cells positive for Ifng . Nested PCR does not provide a quantitative metric but rather a binary determination of whether the T cell expresses the transcript for the cytokine or not. Percent of cells isolated from the SVZ or blood expressing Ifng is shown; d, e) Clonality of T cells isolated from the blood and perfused brain of old mice represented with the same X axis to enable direct comparison of clone sizes from different mice (the data are the same as , ). TCR sequences were extracted from single cell RNA-sequencing data using TraCer (Old Mouse 1, 2, 3, and 4) (d) or by nested PCR of the TCR transcripts (Old Mouse 5 and 6) (e). For each mouse TCR-β sequence clones are ordered from left to right in order of decreasing frequency in the top row. The source of the T cell is indicated in the bottom row. f) Venn diagram showing lack of overlap between T cell clones from separate mice, for the four mice for which their TCR repertoire was analyzed by single cell RNA-seq via TraCeR. TCR-β sequences were used, and all unique sequences were only counted once; g, h) Venn diagram showing lack of overlap between T cell clones from the old blood and old SVZ (g) or separate mice (h), for the two mice whose TCR repertoire was analyzed by nested PCR. TCR-β sequences were used, and all unique sequences were only counted once.
Article Snippet: Reverse transcription was performed directly on the chip using the SMARTer chemistry from Clontech, and PCR was also performed on the chip using the
Techniques: Expressing, Isolation, Nested PCR, Comparison, RNA Sequencing, Sequencing, Clone Assay