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Broad Clinical Labs rnaseq 281 data
Rnaseq 281 Data, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biotechnology Information rna sequencing data
Changes in the vagal transcriptome representing metabolic state and diet dependent interactions . (A) Experimental schematic showing three distinct metabolic states: non-fasted (ad libitum food), fasted (no food for 18 h), and feeding (no food for 18 h followed by ad libitum food for 20 min); two distinct diets: regular chow, and high fat diet (60%); and the mouse nodose ganglion used for <t>RNA</t> <t>sequencing.</t> The water supply is ad libitum in all the groups. Each group comprises three males and three females, a total of six mice per group; (B) Plots showing impairment in glucose clearance (glucose intolerance) after four weeks on 60% high fat diet (HFD) in mice used for RNAseq (upper panel), and significantly higher area under the curve (AUC) in a glucose tolerance test for mice feed with 60% HFD for four weeks compared to age and sex-matched mice on regular chow (lower panel); (C) Pathway enrichment analysis using KEGG database shows metabolic pathway with the maximum number of genes (1,384) and with P -value, 2.11E-6 and enrichment score, 13.07 as shown in the two-dimensional scatter plot; (D) Nodose ganglion transcriptome shows metabolic state dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in the non-fasted group compared to fasted and feeding groups; (E) Nodose ganglion transcriptome shows diet dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in male mice fed with 60% high fat diet for four weeks compared to female mice fed with 60% high fat diet for four weeks or mice fed with regular chow. Data are mean ± SEM (B). P values by two-way RM ANOVA with Geisser-Greenhouse correction and Šídák’s multiple comparisons test (B, upper panel), and unpaired t test two-tailed (B, lower panel) are shown. Source data are provided in NCBI Gene Expression Omnibus (GEO) under accession number GSE281091 (C–E) and (B).
Rna Sequencing Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biotechnology Information raw rna sequencing data
Changes in the vagal transcriptome representing metabolic state and diet dependent interactions . (A) Experimental schematic showing three distinct metabolic states: non-fasted (ad libitum food), fasted (no food for 18 h), and feeding (no food for 18 h followed by ad libitum food for 20 min); two distinct diets: regular chow, and high fat diet (60%); and the mouse nodose ganglion used for <t>RNA</t> <t>sequencing.</t> The water supply is ad libitum in all the groups. Each group comprises three males and three females, a total of six mice per group; (B) Plots showing impairment in glucose clearance (glucose intolerance) after four weeks on 60% high fat diet (HFD) in mice used for RNAseq (upper panel), and significantly higher area under the curve (AUC) in a glucose tolerance test for mice feed with 60% HFD for four weeks compared to age and sex-matched mice on regular chow (lower panel); (C) Pathway enrichment analysis using KEGG database shows metabolic pathway with the maximum number of genes (1,384) and with P -value, 2.11E-6 and enrichment score, 13.07 as shown in the two-dimensional scatter plot; (D) Nodose ganglion transcriptome shows metabolic state dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in the non-fasted group compared to fasted and feeding groups; (E) Nodose ganglion transcriptome shows diet dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in male mice fed with 60% high fat diet for four weeks compared to female mice fed with 60% high fat diet for four weeks or mice fed with regular chow. Data are mean ± SEM (B). P values by two-way RM ANOVA with Geisser-Greenhouse correction and Šídák’s multiple comparisons test (B, upper panel), and unpaired t test two-tailed (B, lower panel) are shown. Source data are provided in NCBI Gene Expression Omnibus (GEO) under accession number GSE281091 (C–E) and (B).
Raw Rna Sequencing Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biotechnology Information ata availability statement aw rna sequencing data
Changes in the vagal transcriptome representing metabolic state and diet dependent interactions . (A) Experimental schematic showing three distinct metabolic states: non-fasted (ad libitum food), fasted (no food for 18 h), and feeding (no food for 18 h followed by ad libitum food for 20 min); two distinct diets: regular chow, and high fat diet (60%); and the mouse nodose ganglion used for <t>RNA</t> <t>sequencing.</t> The water supply is ad libitum in all the groups. Each group comprises three males and three females, a total of six mice per group; (B) Plots showing impairment in glucose clearance (glucose intolerance) after four weeks on 60% high fat diet (HFD) in mice used for RNAseq (upper panel), and significantly higher area under the curve (AUC) in a glucose tolerance test for mice feed with 60% HFD for four weeks compared to age and sex-matched mice on regular chow (lower panel); (C) Pathway enrichment analysis using KEGG database shows metabolic pathway with the maximum number of genes (1,384) and with P -value, 2.11E-6 and enrichment score, 13.07 as shown in the two-dimensional scatter plot; (D) Nodose ganglion transcriptome shows metabolic state dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in the non-fasted group compared to fasted and feeding groups; (E) Nodose ganglion transcriptome shows diet dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in male mice fed with 60% high fat diet for four weeks compared to female mice fed with 60% high fat diet for four weeks or mice fed with regular chow. Data are mean ± SEM (B). P values by two-way RM ANOVA with Geisser-Greenhouse correction and Šídák’s multiple comparisons test (B, upper panel), and unpaired t test two-tailed (B, lower panel) are shown. Source data are provided in NCBI Gene Expression Omnibus (GEO) under accession number GSE281091 (C–E) and (B).
Ata Availability Statement Aw Rna Sequencing Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biotechnology Information bulk rna sequencing data
FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk <t>RNA</t> <t>sequencing</t> of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.
Bulk Rna Sequencing Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk <t>RNA</t> <t>sequencing</t> of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.
Data Availability Raw Rna Sequencing Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Human Protein Atlas single cell rna sequencing data
a , Different human cell lines were assessed for their permissivity to alphacoronavirus pseudotyped spike proteins. CcCoV-KY43 could enter Calu3 (lung) and Caco2 (intestinal) cells. The mean entry (fold change (FC) compared with non-enveloped (NE) controls) from technical triplicates is shown. b , Recombinantly produced CcCoV-KY43 RBD shows potentially high levels of glycosylation. c , Screening an array of human receptor ectodomains identified CEACAM6, CEACAM3 and CEACAM5 as interactors of the CcCoV-KY43 RBD. d , CEACAM proteins were overexpressed in refractory HEK293T cells, and the assays showed that pseudotyped CcCoV-KY43 spike protein could only enter in the presence of CEACAM6. Two biological replicates (technical triplicates) along with their s.d. values, are shown. *** P = 0.0003 using two-way analysis of variance (ANOVA). NS, not significant. e , Interaction of the CcCoV-KY43 RBD and CEACAM6 was confirmed by ELISA, whereas no binding was observed with CEACAM3 or CEACAM5. The mean of two experiments (technical triplicate) is shown with s.d. values. f , ITC (showing differential power (DP) values) of CEACAM6 and CEACAM5 binding the CcCoV-KY3 RBD. Data are representative of two (CEACAM5) or three (CEACAM6) independent experiments. For CEACAM6, mean K d , number of binding sites ( n ) and enthalpy change (Δ H ) are shown. g , Pseudotyped CcCoV-KY43 spike protein was incubated for 1 h with recombinant CEACAM6, followed by titration on HEK293T cells expressing human CEACAM6 (hCEACAM6). Raw data of the mean of two independent experiments (technical triplicate) are shown with s.d. values. h , Monoclonal antibodies against CEACAM6 (B6.2 and clone 439424) were used to neutralize CcCoV-KY43 entry into HEK293T cells expressing hCEACAM6. The mean of two independent experiments (technical triplicate) was normalized to the untreated condition and plotted with s.d. values. i , Left, CEACAM6-specific siRNAs, or negative control, were electroporated into permissive cells and then infected with CcCoV-KY43. To confirm CEACAM6 reduction, cell lysates were analysed by immunoblotting (bottom). Mean entry reduction relative to the scrambled siRNA control from three independent experiments (technical triplicates) along with s.d. values, is shown. Significance of log 10 fold change was determined using a one-sample t -test and P values were adjusted for multiple comparisons (Caco2: P = 0.004 for siRNA-1, P = 0.001 for siRNA-2 and P = 0.009 for siRNA-3; Calu3: P = 0.022 for siRNA-1, P = 0.04 for siRNA-2 and siRNA-3). Right, using lentivirus expressing shRNA, stable knockdown of CEACAM6 expression in Caco2 and Calu3 cell lines was induced and validated by immunoblotting. One biological replicate (technical triplicates) is shown, along with s.d. values. WT, wild type. j , Left, <t>lung-specific</t> <t>single-cell</t> transcriptomic data show the expression of CEACAM6. Right, comparison of the expression of coronavirus receptors in lung cells: CEACAM6, ACE2, APN, DDP4 and TMPRSS2 are shown with the dot plot indicating both average and per cent expression.
Single Cell Rna Sequencing Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Changes in the vagal transcriptome representing metabolic state and diet dependent interactions . (A) Experimental schematic showing three distinct metabolic states: non-fasted (ad libitum food), fasted (no food for 18 h), and feeding (no food for 18 h followed by ad libitum food for 20 min); two distinct diets: regular chow, and high fat diet (60%); and the mouse nodose ganglion used for RNA sequencing. The water supply is ad libitum in all the groups. Each group comprises three males and three females, a total of six mice per group; (B) Plots showing impairment in glucose clearance (glucose intolerance) after four weeks on 60% high fat diet (HFD) in mice used for RNAseq (upper panel), and significantly higher area under the curve (AUC) in a glucose tolerance test for mice feed with 60% HFD for four weeks compared to age and sex-matched mice on regular chow (lower panel); (C) Pathway enrichment analysis using KEGG database shows metabolic pathway with the maximum number of genes (1,384) and with P -value, 2.11E-6 and enrichment score, 13.07 as shown in the two-dimensional scatter plot; (D) Nodose ganglion transcriptome shows metabolic state dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in the non-fasted group compared to fasted and feeding groups; (E) Nodose ganglion transcriptome shows diet dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in male mice fed with 60% high fat diet for four weeks compared to female mice fed with 60% high fat diet for four weeks or mice fed with regular chow. Data are mean ± SEM (B). P values by two-way RM ANOVA with Geisser-Greenhouse correction and Šídák’s multiple comparisons test (B, upper panel), and unpaired t test two-tailed (B, lower panel) are shown. Source data are provided in NCBI Gene Expression Omnibus (GEO) under accession number GSE281091 (C–E) and (B).

Journal: Molecular Metabolism

Article Title: A distinct vagus-beta cell neural circuit senses glucose and modulates insulin secretion

doi: 10.1016/j.molmet.2026.102371

Figure Lengend Snippet: Changes in the vagal transcriptome representing metabolic state and diet dependent interactions . (A) Experimental schematic showing three distinct metabolic states: non-fasted (ad libitum food), fasted (no food for 18 h), and feeding (no food for 18 h followed by ad libitum food for 20 min); two distinct diets: regular chow, and high fat diet (60%); and the mouse nodose ganglion used for RNA sequencing. The water supply is ad libitum in all the groups. Each group comprises three males and three females, a total of six mice per group; (B) Plots showing impairment in glucose clearance (glucose intolerance) after four weeks on 60% high fat diet (HFD) in mice used for RNAseq (upper panel), and significantly higher area under the curve (AUC) in a glucose tolerance test for mice feed with 60% HFD for four weeks compared to age and sex-matched mice on regular chow (lower panel); (C) Pathway enrichment analysis using KEGG database shows metabolic pathway with the maximum number of genes (1,384) and with P -value, 2.11E-6 and enrichment score, 13.07 as shown in the two-dimensional scatter plot; (D) Nodose ganglion transcriptome shows metabolic state dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in the non-fasted group compared to fasted and feeding groups; (E) Nodose ganglion transcriptome shows diet dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in male mice fed with 60% high fat diet for four weeks compared to female mice fed with 60% high fat diet for four weeks or mice fed with regular chow. Data are mean ± SEM (B). P values by two-way RM ANOVA with Geisser-Greenhouse correction and Šídák’s multiple comparisons test (B, upper panel), and unpaired t test two-tailed (B, lower panel) are shown. Source data are provided in NCBI Gene Expression Omnibus (GEO) under accession number GSE281091 (C–E) and (B).

Article Snippet: The RNA sequencing data were deposited to the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) as GSE281091 .

Techniques: RNA Sequencing, RNA sequencing, Two Tailed Test, Gene Expression

FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk RNA sequencing of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.

Journal: JID Innovations

Article Title: The human Flower isoform hFWE4 facilitates cornification in cutaneous squamous cell carcinoma

doi: 10.1016/j.xjidi.2026.100468

Figure Lengend Snippet: FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk RNA sequencing of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.

Article Snippet: Bulk RNA-sequencing data are available at the National Center for Biotechnology Information Gene Expression Omnibus under the accession number GSE314399 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314399 ).

Techniques: Gene Expression, Quantitative Proteomics, RNA Sequencing, Immunofluorescence, Knock-Out

a , Different human cell lines were assessed for their permissivity to alphacoronavirus pseudotyped spike proteins. CcCoV-KY43 could enter Calu3 (lung) and Caco2 (intestinal) cells. The mean entry (fold change (FC) compared with non-enveloped (NE) controls) from technical triplicates is shown. b , Recombinantly produced CcCoV-KY43 RBD shows potentially high levels of glycosylation. c , Screening an array of human receptor ectodomains identified CEACAM6, CEACAM3 and CEACAM5 as interactors of the CcCoV-KY43 RBD. d , CEACAM proteins were overexpressed in refractory HEK293T cells, and the assays showed that pseudotyped CcCoV-KY43 spike protein could only enter in the presence of CEACAM6. Two biological replicates (technical triplicates) along with their s.d. values, are shown. *** P = 0.0003 using two-way analysis of variance (ANOVA). NS, not significant. e , Interaction of the CcCoV-KY43 RBD and CEACAM6 was confirmed by ELISA, whereas no binding was observed with CEACAM3 or CEACAM5. The mean of two experiments (technical triplicate) is shown with s.d. values. f , ITC (showing differential power (DP) values) of CEACAM6 and CEACAM5 binding the CcCoV-KY3 RBD. Data are representative of two (CEACAM5) or three (CEACAM6) independent experiments. For CEACAM6, mean K d , number of binding sites ( n ) and enthalpy change (Δ H ) are shown. g , Pseudotyped CcCoV-KY43 spike protein was incubated for 1 h with recombinant CEACAM6, followed by titration on HEK293T cells expressing human CEACAM6 (hCEACAM6). Raw data of the mean of two independent experiments (technical triplicate) are shown with s.d. values. h , Monoclonal antibodies against CEACAM6 (B6.2 and clone 439424) were used to neutralize CcCoV-KY43 entry into HEK293T cells expressing hCEACAM6. The mean of two independent experiments (technical triplicate) was normalized to the untreated condition and plotted with s.d. values. i , Left, CEACAM6-specific siRNAs, or negative control, were electroporated into permissive cells and then infected with CcCoV-KY43. To confirm CEACAM6 reduction, cell lysates were analysed by immunoblotting (bottom). Mean entry reduction relative to the scrambled siRNA control from three independent experiments (technical triplicates) along with s.d. values, is shown. Significance of log 10 fold change was determined using a one-sample t -test and P values were adjusted for multiple comparisons (Caco2: P = 0.004 for siRNA-1, P = 0.001 for siRNA-2 and P = 0.009 for siRNA-3; Calu3: P = 0.022 for siRNA-1, P = 0.04 for siRNA-2 and siRNA-3). Right, using lentivirus expressing shRNA, stable knockdown of CEACAM6 expression in Caco2 and Calu3 cell lines was induced and validated by immunoblotting. One biological replicate (technical triplicates) is shown, along with s.d. values. WT, wild type. j , Left, lung-specific single-cell transcriptomic data show the expression of CEACAM6. Right, comparison of the expression of coronavirus receptors in lung cells: CEACAM6, ACE2, APN, DDP4 and TMPRSS2 are shown with the dot plot indicating both average and per cent expression.

Journal: Nature

Article Title: Heart-nosed bat alphacoronaviruses use human CEACAM6 to enter cells

doi: 10.1038/s41586-026-10394-x

Figure Lengend Snippet: a , Different human cell lines were assessed for their permissivity to alphacoronavirus pseudotyped spike proteins. CcCoV-KY43 could enter Calu3 (lung) and Caco2 (intestinal) cells. The mean entry (fold change (FC) compared with non-enveloped (NE) controls) from technical triplicates is shown. b , Recombinantly produced CcCoV-KY43 RBD shows potentially high levels of glycosylation. c , Screening an array of human receptor ectodomains identified CEACAM6, CEACAM3 and CEACAM5 as interactors of the CcCoV-KY43 RBD. d , CEACAM proteins were overexpressed in refractory HEK293T cells, and the assays showed that pseudotyped CcCoV-KY43 spike protein could only enter in the presence of CEACAM6. Two biological replicates (technical triplicates) along with their s.d. values, are shown. *** P = 0.0003 using two-way analysis of variance (ANOVA). NS, not significant. e , Interaction of the CcCoV-KY43 RBD and CEACAM6 was confirmed by ELISA, whereas no binding was observed with CEACAM3 or CEACAM5. The mean of two experiments (technical triplicate) is shown with s.d. values. f , ITC (showing differential power (DP) values) of CEACAM6 and CEACAM5 binding the CcCoV-KY3 RBD. Data are representative of two (CEACAM5) or three (CEACAM6) independent experiments. For CEACAM6, mean K d , number of binding sites ( n ) and enthalpy change (Δ H ) are shown. g , Pseudotyped CcCoV-KY43 spike protein was incubated for 1 h with recombinant CEACAM6, followed by titration on HEK293T cells expressing human CEACAM6 (hCEACAM6). Raw data of the mean of two independent experiments (technical triplicate) are shown with s.d. values. h , Monoclonal antibodies against CEACAM6 (B6.2 and clone 439424) were used to neutralize CcCoV-KY43 entry into HEK293T cells expressing hCEACAM6. The mean of two independent experiments (technical triplicate) was normalized to the untreated condition and plotted with s.d. values. i , Left, CEACAM6-specific siRNAs, or negative control, were electroporated into permissive cells and then infected with CcCoV-KY43. To confirm CEACAM6 reduction, cell lysates were analysed by immunoblotting (bottom). Mean entry reduction relative to the scrambled siRNA control from three independent experiments (technical triplicates) along with s.d. values, is shown. Significance of log 10 fold change was determined using a one-sample t -test and P values were adjusted for multiple comparisons (Caco2: P = 0.004 for siRNA-1, P = 0.001 for siRNA-2 and P = 0.009 for siRNA-3; Calu3: P = 0.022 for siRNA-1, P = 0.04 for siRNA-2 and siRNA-3). Right, using lentivirus expressing shRNA, stable knockdown of CEACAM6 expression in Caco2 and Calu3 cell lines was induced and validated by immunoblotting. One biological replicate (technical triplicates) is shown, along with s.d. values. WT, wild type. j , Left, lung-specific single-cell transcriptomic data show the expression of CEACAM6. Right, comparison of the expression of coronavirus receptors in lung cells: CEACAM6, ACE2, APN, DDP4 and TMPRSS2 are shown with the dot plot indicating both average and per cent expression.

Article Snippet: Publicly available single-cell RNA-sequencing data from the Human Protein Atlas were downloaded ( https://www.proteinatlas.org/humanproteome/single+cell/single+cell+type/data#datasets ).

Techniques: Produced, Glycoproteomics, Enzyme-linked Immunosorbent Assay, Binding Assay, Incubation, Recombinant, Titration, Expressing, Bioprocessing, Negative Control, Infection, Western Blot, Control, shRNA, Knockdown, Single Cell, Comparison