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a Cervical brushing <t>samples</t> ( n = 121) were analyzed via CreDiT. When compared with clinical diagnoses (bottom row), the CreDiT results showed a good concordance. The CreDiT heatmap displays mean values from triplicate measurements. ∆CreDiT is a background-subtracted signal. b Samples were categorized according to the clinical diagnoses of three major hrHPV targets (HPV16, HPV18, and HPV45). CreDiT signals were significantly higher in clinically positive samples. The p values were <10 –6 for all three targets from the unpaired two-sided t <t>-test.</t> Da t a were displayed as mean ± s.d. c Receiver operating characteristic (ROC) curves were generated for HPV16, HPV18, and HPV45. The predictor was a marker-specific CreDiT signal scaled to the GAPDH signal, considering varying cellularity in a sample. Overall, CreDiT achieved high diagnostic accuracy, with the area under the curve (AUC) values >0.99 for all three HPV types. d CreDiT was used to analyze <t>anal</t> swap samples ( n = 48) for anal cancer screening. The results matched the clinical diagnoses (bottom row). The CreDiT heatmap displays mean values from triplicate measurements. e ROC curves were constructed using the GAPDH -scaled marker expression. The AUC values were >0.98. a.u. arbitrary unit. Source data are provided as a Source Data file.
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a Cervical brushing <t>samples</t> ( n = 121) were analyzed via CreDiT. When compared with clinical diagnoses (bottom row), the CreDiT results showed a good concordance. The CreDiT heatmap displays mean values from triplicate measurements. ∆CreDiT is a background-subtracted signal. b Samples were categorized according to the clinical diagnoses of three major hrHPV targets (HPV16, HPV18, and HPV45). CreDiT signals were significantly higher in clinically positive samples. The p values were <10 –6 for all three targets from the unpaired two-sided t <t>-test.</t> Da t a were displayed as mean ± s.d. c Receiver operating characteristic (ROC) curves were generated for HPV16, HPV18, and HPV45. The predictor was a marker-specific CreDiT signal scaled to the GAPDH signal, considering varying cellularity in a sample. Overall, CreDiT achieved high diagnostic accuracy, with the area under the curve (AUC) values >0.99 for all three HPV types. d CreDiT was used to analyze <t>anal</t> swap samples ( n = 48) for anal cancer screening. The results matched the clinical diagnoses (bottom row). The CreDiT heatmap displays mean values from triplicate measurements. e ROC curves were constructed using the GAPDH -scaled marker expression. The AUC values were >0.98. a.u. arbitrary unit. Source data are provided as a Source Data file.
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a Cervical brushing <t>samples</t> ( n = 121) were analyzed via CreDiT. When compared with clinical diagnoses (bottom row), the CreDiT results showed a good concordance. The CreDiT heatmap displays mean values from triplicate measurements. ∆CreDiT is a background-subtracted signal. b Samples were categorized according to the clinical diagnoses of three major hrHPV targets (HPV16, HPV18, and HPV45). CreDiT signals were significantly higher in clinically positive samples. The p values were <10 –6 for all three targets from the unpaired two-sided t <t>-test.</t> Da t a were displayed as mean ± s.d. c Receiver operating characteristic (ROC) curves were generated for HPV16, HPV18, and HPV45. The predictor was a marker-specific CreDiT signal scaled to the GAPDH signal, considering varying cellularity in a sample. Overall, CreDiT achieved high diagnostic accuracy, with the area under the curve (AUC) values >0.99 for all three HPV types. d CreDiT was used to analyze <t>anal</t> swap samples ( n = 48) for anal cancer screening. The results matched the clinical diagnoses (bottom row). The CreDiT heatmap displays mean values from triplicate measurements. e ROC curves were constructed using the GAPDH -scaled marker expression. The AUC values were >0.98. a.u. arbitrary unit. Source data are provided as a Source Data file.
Liquid Fixative Vials Bd Surepath Tm Liquid Based Pap Test, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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surepath pap test  (Becton Dickinson)
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a Cervical brushing <t>samples</t> ( n = 121) were analyzed via CreDiT. When compared with clinical diagnoses (bottom row), the CreDiT results showed a good concordance. The CreDiT heatmap displays mean values from triplicate measurements. ∆CreDiT is a background-subtracted signal. b Samples were categorized according to the clinical diagnoses of three major hrHPV targets (HPV16, HPV18, and HPV45). CreDiT signals were significantly higher in clinically positive samples. The p values were <10 –6 for all three targets from the unpaired two-sided t <t>-test.</t> Da t a were displayed as mean ± s.d. c Receiver operating characteristic (ROC) curves were generated for HPV16, HPV18, and HPV45. The predictor was a marker-specific CreDiT signal scaled to the GAPDH signal, considering varying cellularity in a sample. Overall, CreDiT achieved high diagnostic accuracy, with the area under the curve (AUC) values >0.99 for all three HPV types. d CreDiT was used to analyze <t>anal</t> swap samples ( n = 48) for anal cancer screening. The results matched the clinical diagnoses (bottom row). The CreDiT heatmap displays mean values from triplicate measurements. e ROC curves were constructed using the GAPDH -scaled marker expression. The AUC values were >0.98. a.u. arbitrary unit. Source data are provided as a Source Data file.
Surepath Pap Test, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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a Cervical brushing samples ( n = 121) were analyzed via CreDiT. When compared with clinical diagnoses (bottom row), the CreDiT results showed a good concordance. The CreDiT heatmap displays mean values from triplicate measurements. ∆CreDiT is a background-subtracted signal. b Samples were categorized according to the clinical diagnoses of three major hrHPV targets (HPV16, HPV18, and HPV45). CreDiT signals were significantly higher in clinically positive samples. The p values were <10 –6 for all three targets from the unpaired two-sided t -test. Da t a were displayed as mean ± s.d. c Receiver operating characteristic (ROC) curves were generated for HPV16, HPV18, and HPV45. The predictor was a marker-specific CreDiT signal scaled to the GAPDH signal, considering varying cellularity in a sample. Overall, CreDiT achieved high diagnostic accuracy, with the area under the curve (AUC) values >0.99 for all three HPV types. d CreDiT was used to analyze anal swap samples ( n = 48) for anal cancer screening. The results matched the clinical diagnoses (bottom row). The CreDiT heatmap displays mean values from triplicate measurements. e ROC curves were constructed using the GAPDH -scaled marker expression. The AUC values were >0.98. a.u. arbitrary unit. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Empowering the on-site detection of nucleic acids by integrating CRISPR and digital signal processing

doi: 10.1038/s41467-024-50588-3

Figure Lengend Snippet: a Cervical brushing samples ( n = 121) were analyzed via CreDiT. When compared with clinical diagnoses (bottom row), the CreDiT results showed a good concordance. The CreDiT heatmap displays mean values from triplicate measurements. ∆CreDiT is a background-subtracted signal. b Samples were categorized according to the clinical diagnoses of three major hrHPV targets (HPV16, HPV18, and HPV45). CreDiT signals were significantly higher in clinically positive samples. The p values were <10 –6 for all three targets from the unpaired two-sided t -test. Da t a were displayed as mean ± s.d. c Receiver operating characteristic (ROC) curves were generated for HPV16, HPV18, and HPV45. The predictor was a marker-specific CreDiT signal scaled to the GAPDH signal, considering varying cellularity in a sample. Overall, CreDiT achieved high diagnostic accuracy, with the area under the curve (AUC) values >0.99 for all three HPV types. d CreDiT was used to analyze anal swap samples ( n = 48) for anal cancer screening. The results matched the clinical diagnoses (bottom row). The CreDiT heatmap displays mean values from triplicate measurements. e ROC curves were constructed using the GAPDH -scaled marker expression. The AUC values were >0.98. a.u. arbitrary unit. Source data are provided as a Source Data file.

Article Snippet: We collected cervical or anal Pap test samples (BD SurePath™ liquid-based Pap test, Becton, Dickinson and Company) during gynecological or anal exams.

Techniques: Generated, Marker, Diagnostic Assay, Construct, Expressing