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feline coronavirus fcov type 2 strain wsu (ATCC)

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ATCC feline coronavirus fcov type 2 strain wsu
$ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline <t>coronavirus</t> <t>(FCoV),</t> using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .$
Feline Coronavirus Fcov Type 2 Strain Wsu, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 41 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fcov/pmc13172811-369-1-9?v=ATCC
Average 94 stars, based on 41 article reviews

feline coronavirus fcov type 2 strain wsu - by Bioz Stars, 2026-07

94/100 stars

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1) Product Images from "Next-Generation Sequencing Dataset Downloader and In Silico Sequence Mining: Graphical-User-Interface-Based Tools for Accessible, Multiprobe Target Mining in Next-Generation Sequencing Data"

Article Title: Next-Generation Sequencing Dataset Downloader and In Silico Sequence Mining: Graphical-User-Interface-Based Tools for Accessible, Multiprobe Target Mining in Next-Generation Sequencing Data

Journal: Computational and Structural Biotechnology Journal

doi: 10.34133/csbj.0095

$ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline coronavirus (FCoV), using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .$
Figure Legend Snippet: ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline coronavirus (FCoV), using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .

Techniques Used: Infection, Generated, Extraction, Derivative Assay, Transformation Assay

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Journal: Computational and Structural Biotechnology Journal

doi: 10.34133/csbj.0095

Figure Lengend Snippet: ISSM analysis of an NGS dataset obtained from CRFK cells infected with feline coronavirus (FCoV), using probes targeting various coronavirus groups, other viruses, CRFK cell sequences, and beta-actin. (A) Heatmap output generated by the ISSM. Probe sequences are color coded according to their target: SARS-CoV-2 (red), SARS-CoV (brown), Bovine CoV (yellow), Alphacoronavirus (blue), Universal coronavirus (green), Bat-CoV (purple), Feline coronavirus (gray), other viruses (black), CRFK cell (light orange), and beta-actin (pink). Color intensity indicates the relative number of matched reads, with deeper red representing higher read counts. (B) Relationship between extraction fraction and detected matched read proportion. Matched read counts obtained at 1%, 10%, 25%, and 50% extraction were expressed as percentages relative to the corresponding matched read counts obtained under 100% extraction, and a linear regression trendline was fitted to model this relationship. (C) Back-calculated 100% equivalent matched read counts derived from the regression equation shown in panel (B), compared with the actual matched read counts obtained under 100% extraction. The actual 100% extraction values used as reference are provided in Table . (D) Reliability assessment of downsampling-based back-calculation. The relationship between the log-transformed actual matched read counts obtained under 100% extraction and the relative error of the back-calculated 100% equivalent values is shown for each extraction setting. Trend equations were used to estimate approximate matched read ranges corresponding to selected relative error thresholds, which are summarized in Table .

Article Snippet: The feline coronavirus (FCoV) type 2 strain WSU 79-1683 (American Type Culture Collection VR-989) was obtained from the American Type Culture Collection and used in this study.

Techniques: Infection, Generated, Extraction, Derivative Assay, Transformation Assay

Evaluation of the specificity of RAA-CRISPR/Cas12a/FLUOR and RAA-CRISPR/Cas12a/LFS. Product detection using CRISPR/Cas12a/FLUOR and CRISPR/Cas12a/LFS. RAA was used to detect DNA or cDNA of FPV, FHV, FCV, and FCoV. Then the products were detected by CRISPR/Cas12a/FLUOR (A,B) and CRISPR/Cas12a/LFS (C) .

Journal: Frontiers in Microbiology

Article Title: Rapid detection of feline parvovirus using RAA-CRISPR/Cas12a-based lateral flow strip and fluorescence

doi: 10.3389/fmicb.2025.1501635

Figure Lengend Snippet: Evaluation of the specificity of RAA-CRISPR/Cas12a/FLUOR and RAA-CRISPR/Cas12a/LFS. Product detection using CRISPR/Cas12a/FLUOR and CRISPR/Cas12a/LFS. RAA was used to detect DNA or cDNA of FPV, FHV, FCV, and FCoV. Then the products were detected by CRISPR/Cas12a/FLUOR (A,B) and CRISPR/Cas12a/LFS (C) .

Article Snippet: The DF2 strain (ATCC VR-2004) of feline coronavirus (FCoV) was purchased from ATCC and cultured in CRFK cell.

Techniques: CRISPR