{"doi":"10.1007/978-1-4614-9408-9_21","title":"Gene Expression Analysis by Quantitative Real-time PCR for Floral Tissues","abstract":null,"journal":"Methods in Molecular Biology","year":2014,"id":624691,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":228877,"name":"Jian Jin","orcid":"0000-0002-2387-3862","position":1,"is_corresponding":false},{"id":1614953,"name":"Oriol Casagran","orcid":null,"position":2,"is_corresponding":false},{"id":29250,"name":"Tania Nolan","orcid":null,"position":3,"is_corresponding":false},{"id":1614954,"name":"José Luis Riechmann","orcid":null,"position":4,"is_corresponding":false},{"id":707375,"name":"Mariana Bustamante","orcid":"0000-0002-6365-9414","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Gene Expression Analysis by Quantitative Real-time PCR for Floral Tissues","abstract":"Real-time, or quantitative, reverse transcription polymerase chain reaction (qRT-PCR), is a powerful method for rapid and reliable quantification of mRNA abundance. Although it has not featured prominently in flower development research in the past, the availability of novel techniques for the synchronized induction of flower development, or for the isolation of cell-specific mRNA populations, suggests that detailed quantitative analyses of gene expression over time and in specific tissues and cell types by qRT-PCR will become more widely used. In this chapter, we discuss specific considerations for studying gene expression by using qRT-PCR, such as the identification of suitable reference genes for the experimental setup used. In addition, we provide protocols for performing qRT-PCR experiments in a multiwell plate format (with the LightCycler(®) 480 system, Roche) and with nanofluidic arrays (BioMark™ system, Fluidigm), which allow the automatic combination of sets of samples with sets of assays, and significantly reduce reaction volume and the number of liquid-handling steps performed during the experiment.","is_dataset_classified":null,"base_score":1.791759469228055,"endowment":1.791759469228055,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24395270","pmcid":null,"openalex_id":"https://openalex.org/W3745721","authors":[],"funders":[],"total_grants":0,"fwci":1.0531,"citation_percentile":0.74797339,"influential_citations":0,"citation_trend":[{"year":2014,"count":1},{"year":2015,"count":1},{"year":2018,"count":1},{"year":2019,"count":1},{"year":2021,"count":1}],"oa_status":"closed","license":"https://www.springernature.com/gp/researchers/text-and-data-mining","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1007/978-1-4614-9408-9_21","host_type":"publisher"},{"url":"https://doi.org/10.1007/978-1-4614-9408-9_21","host_type":"book series"},{"url":"https://pubmed.ncbi.nlm.nih.gov/24395270","host_type":"repository"},{"url":"http://hdl.handle.net/10261/248746","host_type":"repository"}],"fields_of_study":["Molecular Biology Techniques and Applications","Environmental DNA in Biodiversity Studies","Plant and Fungal Interactions Research"],"mesh_terms":["RNA, Plant","Gene Expression Profiling","Flowers","Reverse Transcription","Real-Time Polymerase Chain Reaction"],"keywords":["Real-time polymerase chain reaction","Reference genes","Reverse transcription polymerase chain reaction","Biology","Computational biology","Gene expression","Gene","Messenger RNA","Reverse transcriptase","Polymerase chain reaction","Quantitative analysis (chemistry)","Gene expression profiling","Molecular biology","Genetics","Chemistry","Chromatography"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T04:32:42.677407Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}