Pub Date : 2025-02-05DOI: 10.1016/j.xpro.2025.103626
Shinobu Nakanishi
Gene knockdown by small interfering RNA (siRNA) transfection is widely used to investigate gene function. Here, we present a protocol for the knockdown of the odorant-binding protein 2A (OBP2A) gene in a three-dimensional human epidermal equivalent model (3DE-model). We describe steps for growing human epidermal keratinocytes (normal human epithelial keratinocytes [NHEKs]) for 3DE-model construction in monolayer culture. We then detail procedures for transfecting the cells with siRNA, followed by a second siRNA transfection during 3DE-model construction. The efficiency of gene knockdown is verified by qPCR and ELISA. For complete details on the use and execution of this protocol, please refer to Nakanishi et al.1.
{"title":"Protocol for odorant-binding protein 2A gene knockdown by dual siRNA transfection in a three-dimensional human epidermal equivalent model.","authors":"Shinobu Nakanishi","doi":"10.1016/j.xpro.2025.103626","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103626","url":null,"abstract":"<p><p>Gene knockdown by small interfering RNA (siRNA) transfection is widely used to investigate gene function. Here, we present a protocol for the knockdown of the odorant-binding protein 2A (OBP2A) gene in a three-dimensional human epidermal equivalent model (3DE-model). We describe steps for growing human epidermal keratinocytes (normal human epithelial keratinocytes [NHEKs]) for 3DE-model construction in monolayer culture. We then detail procedures for transfecting the cells with siRNA, followed by a second siRNA transfection during 3DE-model construction. The efficiency of gene knockdown is verified by qPCR and ELISA. For complete details on the use and execution of this protocol, please refer to Nakanishi et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103626"},"PeriodicalIF":1.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-05DOI: 10.1016/j.xpro.2025.103619
Lakshmi Jayaram, Ramith Ramu, Deepthi Puttegowda, Jayanthi M K, Chandana Kumari V B, Khang Wen Goh
Lactic acid bacteria (LAB) are a large group produced during carbohydrate fermentation, resulting in lactic acid. Here, we present a protocol for probiotic adhesion and interaction into buccal epithelial cells, chicken epithelial cells, and HT-29 cells, as well as for autoaggregation and coaggregation. We describe steps for visualizing LAB adhesion by imaging cell adhesion using a light microscope. We then detail procedures for performing an adhesion assay. For complete details on the use and execution of this protocol, please refer to Kumari et al.1.
{"title":"A protocol for assessing the adhesion potential of lactic acid bacteria on various cell types.","authors":"Lakshmi Jayaram, Ramith Ramu, Deepthi Puttegowda, Jayanthi M K, Chandana Kumari V B, Khang Wen Goh","doi":"10.1016/j.xpro.2025.103619","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103619","url":null,"abstract":"<p><p>Lactic acid bacteria (LAB) are a large group produced during carbohydrate fermentation, resulting in lactic acid. Here, we present a protocol for probiotic adhesion and interaction into buccal epithelial cells, chicken epithelial cells, and HT-29 cells, as well as for autoaggregation and coaggregation. We describe steps for visualizing LAB adhesion by imaging cell adhesion using a light microscope. We then detail procedures for performing an adhesion assay. For complete details on the use and execution of this protocol, please refer to Kumari et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103619"},"PeriodicalIF":1.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143365882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.xpro.2025.103629
Bin Li, Yixing Li, Lei Li, Linjun Cai, Lan Li, Li Li, Chongsheng He
Plant m6A modification is highly dynamic, with plant hormones serving as key regulators that induce these dynamics. Here, we present a protocol for detecting phytohormone-induced changes in m6A modification using RNA dot blot and m6A sequencing (m6A-seq) techniques. We describe steps for the auxin treatment, RNA dot blot and m6A-seq library preparation, and data analysis. This protocol holds potential applications for analyzing changes in m6A modification induced by plant hormones. For complete details on the use and execution of this protocol, please refer to Bin et al.1.
{"title":"Protocol for measuring the auxin-induced changes of m<sup>6</sup>A modification.","authors":"Bin Li, Yixing Li, Lei Li, Linjun Cai, Lan Li, Li Li, Chongsheng He","doi":"10.1016/j.xpro.2025.103629","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103629","url":null,"abstract":"<p><p>Plant m<sup>6</sup>A modification is highly dynamic, with plant hormones serving as key regulators that induce these dynamics. Here, we present a protocol for detecting phytohormone-induced changes in m<sup>6</sup>A modification using RNA dot blot and m<sup>6</sup>A sequencing (m<sup>6</sup>A-seq) techniques. We describe steps for the auxin treatment, RNA dot blot and m<sup>6</sup>A-seq library preparation, and data analysis. This protocol holds potential applications for analyzing changes in m<sup>6</sup>A modification induced by plant hormones. For complete details on the use and execution of this protocol, please refer to Bin et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103629"},"PeriodicalIF":1.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.xpro.2025.103625
Lin Du, Jingmin Kang, Jie Li, Hua Qin, Yong Hou, Hai-Xi Sun
Spatially resolved transcriptomics (SRT) data contain intricate noise due to the diffusion of transcripts caused by tissue fixation, permeabilization, and cell lysis during the experiment. Here, we present a protocol for denoising SRT data using SpotGF, an optimal transport-based gene filtering algorithm, without modifying the raw gene expression. We describe steps for data preparation, SpotGF score calculation, filtering threshold determination, denoised data generation, and visualization. Our protocol enhances SRT quality and improves the performance of downstream analyses. For complete details on the use and execution of this protocol, please refer to Du et al.1.
{"title":"Protocol to denoise spatially resolved transcriptomics data utilizing optimal transport-based gene filtering algorithm.","authors":"Lin Du, Jingmin Kang, Jie Li, Hua Qin, Yong Hou, Hai-Xi Sun","doi":"10.1016/j.xpro.2025.103625","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103625","url":null,"abstract":"<p><p>Spatially resolved transcriptomics (SRT) data contain intricate noise due to the diffusion of transcripts caused by tissue fixation, permeabilization, and cell lysis during the experiment. Here, we present a protocol for denoising SRT data using SpotGF, an optimal transport-based gene filtering algorithm, without modifying the raw gene expression. We describe steps for data preparation, SpotGF score calculation, filtering threshold determination, denoised data generation, and visualization. Our protocol enhances SRT quality and improves the performance of downstream analyses. For complete details on the use and execution of this protocol, please refer to Du et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103625"},"PeriodicalIF":1.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-31DOI: 10.1016/j.xpro.2025.103612
Linlin Li, Jun Jin
Here, we present a protocol for the quantitative characterization of human T cell aging. We describe steps for sample collection; peripheral blood mononuclear cell (PBMC) isolation; and the enrichment, assessment, and activation of naive CD8+ T cells. We then detail procedures for supernatant collection and quantification using the absolute copy number of mitochondrial DNA (mtDNA) released into the supernatants from in-vitro-activated naive CD8+ T cells. We also apply this approach to predict the occurrence of lung adenocarcinoma in middle-aged populations. For complete details on the use and execution of this protocol, please refer to Jin et al.1.
{"title":"Protocol for the quantitative detection of mtDNA in the supernatants of activated human naive CD8<sup>+</sup> T cells.","authors":"Linlin Li, Jun Jin","doi":"10.1016/j.xpro.2025.103612","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103612","url":null,"abstract":"<p><p>Here, we present a protocol for the quantitative characterization of human T cell aging. We describe steps for sample collection; peripheral blood mononuclear cell (PBMC) isolation; and the enrichment, assessment, and activation of naive CD8<sup>+</sup> T cells. We then detail procedures for supernatant collection and quantification using the absolute copy number of mitochondrial DNA (mtDNA) released into the supernatants from in-vitro-activated naive CD8<sup>+</sup> T cells. We also apply this approach to predict the occurrence of lung adenocarcinoma in middle-aged populations. For complete details on the use and execution of this protocol, please refer to Jin et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103612"},"PeriodicalIF":1.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-31DOI: 10.1016/j.xpro.2025.103599
Xiaoting Zhang, Liang Lu, Chengqi Yi, Xiaoyu Li
RNA 5-methylcytosine (m5C) is a widespread modification and plays a crucial role in gene expression regulation. Here, we present a protocol for transcriptome-wide m5C methylome profiling at base resolution using bisulfite-free m5C detection strategy enabled by ten-eleven translocation (TET)-assisted chemical labeling sequencing (m5C-TAC-seq). We detail steps for TET-assisted chemical labeling, library construction, and data analysis. m5C-TAC-seq enables accurate and robust m5C detection in various RNA species. For complete details on the use and execution of this protocol, please refer to Lu et al.1.
{"title":"Protocol for profiling RNA m<sup>5</sup>C methylation at base resolution using m<sup>5</sup>C-TAC-seq.","authors":"Xiaoting Zhang, Liang Lu, Chengqi Yi, Xiaoyu Li","doi":"10.1016/j.xpro.2025.103599","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103599","url":null,"abstract":"<p><p>RNA 5-methylcytosine (m<sup>5</sup>C) is a widespread modification and plays a crucial role in gene expression regulation. Here, we present a protocol for transcriptome-wide m<sup>5</sup>C methylome profiling at base resolution using bisulfite-free m<sup>5</sup>C detection strategy enabled by ten-eleven translocation (TET)-assisted chemical labeling sequencing (m<sup>5</sup>C-TAC-seq). We detail steps for TET-assisted chemical labeling, library construction, and data analysis. m<sup>5</sup>C-TAC-seq enables accurate and robust m<sup>5</sup>C detection in various RNA species. For complete details on the use and execution of this protocol, please refer to Lu et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103599"},"PeriodicalIF":1.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-31DOI: 10.1016/j.xpro.2025.103611
Rianne C Prins, Sonja Billerbeck
Killer yeast produce antimicrobial proteins, often together with a self-protective immunity factor. Here, we present a protocol for analyzing the toxic, immune, and suicidal phenotypes in Saccharomyces cerevisiae. We describe steps for assessing toxicity via halo assays, suicidality through spot assays, and immunity using microtiter plate growth assays. We detail procedures for yeast culturing, performing the assays, and data analysis. For complete details on the use and execution of this protocol, please refer to Prins et al.1.
{"title":"Protocol to study toxic, immune, and suicidal phenotypes of killer yeast.","authors":"Rianne C Prins, Sonja Billerbeck","doi":"10.1016/j.xpro.2025.103611","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103611","url":null,"abstract":"<p><p>Killer yeast produce antimicrobial proteins, often together with a self-protective immunity factor. Here, we present a protocol for analyzing the toxic, immune, and suicidal phenotypes in Saccharomyces cerevisiae. We describe steps for assessing toxicity via halo assays, suicidality through spot assays, and immunity using microtiter plate growth assays. We detail procedures for yeast culturing, performing the assays, and data analysis. For complete details on the use and execution of this protocol, please refer to Prins et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103611"},"PeriodicalIF":1.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-31DOI: 10.1016/j.xpro.2025.103613
Miquel Sánchez-Osuna, Ivan Erill, Oriol Gasch, Oscar Q Pich
Analyzing whole-genome sequencing (WGS) data from bacterial isolates is pivotal for understanding virulence and predicting clinical outcomes through association studies. Herein, we present a computational protocol for the detailed analysis of WGS data from Staphylococcus aureus clinical isolates generated with Illumina sequencing. We describe steps for de novo assembly, functional annotation, and genetic characterization of chromosomal and extrachromosomal elements. This approach paves the way for an improved understanding of the interplay between virulence factors, resistome, strain type, and disease severity. For complete details on the use and execution of this protocol, please refer to Sánchez-Osuna et al.1.
{"title":"Computational protocol for analyzing whole-genome sequencing data from Staphylococcus aureus clinical isolates.","authors":"Miquel Sánchez-Osuna, Ivan Erill, Oriol Gasch, Oscar Q Pich","doi":"10.1016/j.xpro.2025.103613","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103613","url":null,"abstract":"<p><p>Analyzing whole-genome sequencing (WGS) data from bacterial isolates is pivotal for understanding virulence and predicting clinical outcomes through association studies. Herein, we present a computational protocol for the detailed analysis of WGS data from Staphylococcus aureus clinical isolates generated with Illumina sequencing. We describe steps for de novo assembly, functional annotation, and genetic characterization of chromosomal and extrachromosomal elements. This approach paves the way for an improved understanding of the interplay between virulence factors, resistome, strain type, and disease severity. For complete details on the use and execution of this protocol, please refer to Sánchez-Osuna et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103613"},"PeriodicalIF":1.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-31DOI: 10.1016/j.xpro.2024.103576
Zhongjun Wan, Shanshan Wen, Ran Zheng, Li Li, Wei Jiang, Donghui Zhang
Extended pluripotent stem cells (EPSCs) possess a high differentiation capacity, potentially as a superior seed resource for generating cardiomyocytes. Here, we present a protocol for generating feeder-free EPSCs (ffEPSCs), cardiomyocytes, and engineered heart tissues (EHTs). We describe steps for converting human embryonic stem cells or induced pluripotent stem cells (ESCs/iPSCs) into ffEPSCs, followed by their long-term maintenance, cryopreservation, seed preservation, and differentiation into cardiomyocytes. We then detail procedures for constructing and culturing three-dimensional EHTs followed by their contraction force measurement and optical mapping. For complete details on the use and execution of the protocol, please refer to Zheng et al.1 and Li et al.2.
{"title":"Protocol for differentiating cardiomyocytes and generating engineered heart tissues from human feeder-free extended pluripotent stem cells.","authors":"Zhongjun Wan, Shanshan Wen, Ran Zheng, Li Li, Wei Jiang, Donghui Zhang","doi":"10.1016/j.xpro.2024.103576","DOIUrl":"https://doi.org/10.1016/j.xpro.2024.103576","url":null,"abstract":"<p><p>Extended pluripotent stem cells (EPSCs) possess a high differentiation capacity, potentially as a superior seed resource for generating cardiomyocytes. Here, we present a protocol for generating feeder-free EPSCs (ffEPSCs), cardiomyocytes, and engineered heart tissues (EHTs). We describe steps for converting human embryonic stem cells or induced pluripotent stem cells (ESCs/iPSCs) into ffEPSCs, followed by their long-term maintenance, cryopreservation, seed preservation, and differentiation into cardiomyocytes. We then detail procedures for constructing and culturing three-dimensional EHTs followed by their contraction force measurement and optical mapping. For complete details on the use and execution of the protocol, please refer to Zheng et al.<sup>1</sup> and Li et al.<sup>2</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103576"},"PeriodicalIF":1.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-31DOI: 10.1016/j.xpro.2025.103617
John Kim, Hilla Weidberg
Protein import into the mitochondria is required for organellar function. Inefficient import can result in the stalling of mitochondrial precursors inside the translocase of the outer membrane (TOM) and blockage of the mitochondrial entry gate. Here, we present a protocol to assess the clogging of TOM by mitochondrial precursors in human cell lines. We describe how the localization of mitochondrial precursors can be determined by cellular fractionation. We then show how co-immunoprecipitation can be used to test the stalling of precursors inside TOM. For complete details on the use and execution of this protocol, please refer to Kim et al.1.
{"title":"Protocol for assessing the clogging of the mitochondrial translocase of the outer membrane by precursor proteins in human cells.","authors":"John Kim, Hilla Weidberg","doi":"10.1016/j.xpro.2025.103617","DOIUrl":"https://doi.org/10.1016/j.xpro.2025.103617","url":null,"abstract":"<p><p>Protein import into the mitochondria is required for organellar function. Inefficient import can result in the stalling of mitochondrial precursors inside the translocase of the outer membrane (TOM) and blockage of the mitochondrial entry gate. Here, we present a protocol to assess the clogging of TOM by mitochondrial precursors in human cell lines. We describe how the localization of mitochondrial precursors can be determined by cellular fractionation. We then show how co-immunoprecipitation can be used to test the stalling of precursors inside TOM. For complete details on the use and execution of this protocol, please refer to Kim et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103617"},"PeriodicalIF":1.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}