Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png
Background<p>Cellular indexing of transcriptomes and epitopes by sequencing (CITE-Seq) is a powerful technique to simultaneously measure gene expression and cell surface protein abundances in individual cells. To obtain accurate and reliable biological findings from CITE-Seq data, it is critic...
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| _version_ | 1852016499346112512 |
|---|---|
| author | Jie Sun (74648) |
| author2 | Robert Morrison (186491) Soyeon Kim (533382) Kairuo Yan (22268506) Hyun Jung Park (8778488) |
| author2_role | author author author author |
| author_facet | Jie Sun (74648) Robert Morrison (186491) Soyeon Kim (533382) Kairuo Yan (22268506) Hyun Jung Park (8778488) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jie Sun (74648) Robert Morrison (186491) Soyeon Kim (533382) Kairuo Yan (22268506) Hyun Jung Park (8778488) |
| dc.date.none.fl_str_mv | 2025-09-18T05:32:22Z |
| dc.identifier.none.fl_str_mv | 10.3389/fbinf.2025.1630161.s007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Image_1_Quantitative_measures_to_assess_the_quality_of_cellular_indexing_of_transcriptomes_and_epitopes_by_sequencing_data_png/30155173 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Bioinformatics CITE-Seq quality control (QC) multi-omics integration biomarker discovery computational software |
| dc.title.none.fl_str_mv | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | Background<p>Cellular indexing of transcriptomes and epitopes by sequencing (CITE-Seq) is a powerful technique to simultaneously measure gene expression and cell surface protein abundances in individual cells. To obtain accurate and reliable biological findings from CITE-Seq data, it is critical to ensure rigorous quality control (QC). However, no public method has yet been developed for CITE-Seq QC.</p>Results<p>In this study, we propose the first software package for multi-layered, systemic, and quantitative quality control (CITESeQC). Recognizing the multi-layered nature of CITE-Seq data, CITESeQC performs QC across gene expressions, surface proteins, and their interactions. It systemically evaluates all genes and protein markers assayed in the data and filters out some of them based on individual quality measures. Furthermore, for quantitative QC that enables objective and standardized analyses, CITESeQC quantifies cell type-specific expression of genes and surface proteins using Shannon entropy and correlation-based measures. Finally, to ensure broad applicability, CITESeQC guides users through a simple process that generates a complete markdown report with supporting figures and explanations, requiring minimal user intervention.</p>Conclusion<p>By quantifying the quality of CITE-Seq data, CITESeQC enables precise characterization of gene expression within cell types and reliable classification of cell types using surface protein markers, thereby enhancing its value for clinical applications.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_197c09ff1939f9abf63f4bbd1ff386fa |
| identifier_str_mv | 10.3389/fbinf.2025.1630161.s007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30155173 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.pngJie Sun (74648)Robert Morrison (186491)Soyeon Kim (533382)Kairuo Yan (22268506)Hyun Jung Park (8778488)BioinformaticsCITE-Seqquality control (QC)multi-omics integrationbiomarker discoverycomputational softwareBackground<p>Cellular indexing of transcriptomes and epitopes by sequencing (CITE-Seq) is a powerful technique to simultaneously measure gene expression and cell surface protein abundances in individual cells. To obtain accurate and reliable biological findings from CITE-Seq data, it is critical to ensure rigorous quality control (QC). However, no public method has yet been developed for CITE-Seq QC.</p>Results<p>In this study, we propose the first software package for multi-layered, systemic, and quantitative quality control (CITESeQC). Recognizing the multi-layered nature of CITE-Seq data, CITESeQC performs QC across gene expressions, surface proteins, and their interactions. It systemically evaluates all genes and protein markers assayed in the data and filters out some of them based on individual quality measures. Furthermore, for quantitative QC that enables objective and standardized analyses, CITESeQC quantifies cell type-specific expression of genes and surface proteins using Shannon entropy and correlation-based measures. Finally, to ensure broad applicability, CITESeQC guides users through a simple process that generates a complete markdown report with supporting figures and explanations, requiring minimal user intervention.</p>Conclusion<p>By quantifying the quality of CITE-Seq data, CITESeQC enables precise characterization of gene expression within cell types and reliable classification of cell types using surface protein markers, thereby enhancing its value for clinical applications.</p>2025-09-18T05:32:22ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.3389/fbinf.2025.1630161.s007https://figshare.com/articles/figure/Image_1_Quantitative_measures_to_assess_the_quality_of_cellular_indexing_of_transcriptomes_and_epitopes_by_sequencing_data_png/30155173CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301551732025-09-18T05:32:22Z |
| spellingShingle | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png Jie Sun (74648) Bioinformatics CITE-Seq quality control (QC) multi-omics integration biomarker discovery computational software |
| status_str | publishedVersion |
| title | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| title_full | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| title_fullStr | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| title_full_unstemmed | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| title_short | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| title_sort | Image 1_Quantitative measures to assess the quality of cellular indexing of transcriptomes and epitopes by sequencing data.png |
| topic | Bioinformatics CITE-Seq quality control (QC) multi-omics integration biomarker discovery computational software |