{"id":"https://openalex.org/W4294691776","doi":"https://doi.org/10.23919/acc53348.2022.9867892","title":"Threshold-crossing time statistics for size-dependent gene expression in growing cells","display_name":"Threshold-crossing time statistics for size-dependent gene expression in growing cells","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4294691776","doi":"https://doi.org/10.23919/acc53348.2022.9867892"},"language":"en","primary_location":{"id":"doi:10.23919/acc53348.2022.9867892","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867892","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033750396","display_name":"C\u00e9sar Nieto","orcid":"https://orcid.org/0000-0001-6504-4619"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cesar Nieto","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA,19716"],"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA,19716","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077670719","display_name":"Khem Raj Ghusinga","orcid":"https://orcid.org/0000-0002-3456-8951"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khem Raj Ghusinga","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Biology,Chapel Hill,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Biology,Chapel Hill,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053718440","display_name":"Cesar A. Vargas-Garc\u00eda","orcid":"https://orcid.org/0000-0002-4286-8882"},"institutions":[{"id":"https://openalex.org/I4210131753","display_name":"Colombian Corporation for Agricultural Research - AGROSAVIA","ror":"https://ror.org/03d0jkp23","country_code":"CO","type":"funder","lineage":["https://openalex.org/I4210131753"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Cesar Vargas-Garcia","raw_affiliation_strings":["AGROSAVIA. Corporación Colombiana de Investigación Agropecuaria,Bogotá,Colombia"],"affiliations":[{"raw_affiliation_string":"AGROSAVIA. Corporación Colombiana de Investigación Agropecuaria,Bogotá,Colombia","institution_ids":["https://openalex.org/I4210131753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022267407","display_name":"Abhyudai Singh","orcid":"https://orcid.org/0000-0002-1451-2838"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhyudai Singh","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA,19716"],"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA,19716","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033750396"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":1.7637,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85443038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1341","last_page":"1346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10120","display_name":"Bacterial Genetics and Biotechnology","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/first-hitting-time-model","display_name":"First-hitting-time model","score":0.6634613275527954},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.5824555158615112},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5657193660736084},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.5332842469215393},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4780588448047638},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.47246241569519043},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4341016411781311},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4172408878803253},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4145168960094452},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.41359788179397583},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33499979972839355},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3228553235530853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29867756366729736},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24521824717521667},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16195476055145264},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12528911232948303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0944376289844513}],"concepts":[{"id":"https://openalex.org/C186659197","wikidata":"https://www.wikidata.org/wiki/Q5452195","display_name":"First-hitting-time model","level":2,"score":0.6634613275527954},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5824555158615112},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5657193660736084},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.5332842469215393},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4780588448047638},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.47246241569519043},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4341016411781311},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4172408878803253},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4145168960094452},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.41359788179397583},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33499979972839355},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3228553235530853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29867756366729736},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24521824717521667},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16195476055145264},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12528911232948303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0944376289844513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc53348.2022.9867892","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867892","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1975635548","https://openalex.org/W1976393786","https://openalex.org/W1988765971","https://openalex.org/W2007995850","https://openalex.org/W2008472945","https://openalex.org/W2047978033","https://openalex.org/W2050136777","https://openalex.org/W2066594542","https://openalex.org/W2077046573","https://openalex.org/W2115368299","https://openalex.org/W2115606218","https://openalex.org/W2122121413","https://openalex.org/W2128551987","https://openalex.org/W2128738030","https://openalex.org/W2147724830","https://openalex.org/W2152458694","https://openalex.org/W2153612800","https://openalex.org/W2171280873","https://openalex.org/W2505895487","https://openalex.org/W2517303441","https://openalex.org/W2569268737","https://openalex.org/W2898222917","https://openalex.org/W2900424448","https://openalex.org/W2904097304","https://openalex.org/W2951525168","https://openalex.org/W2994626354","https://openalex.org/W2999077166","https://openalex.org/W3005737795","https://openalex.org/W3015703085","https://openalex.org/W3024123913","https://openalex.org/W3026696099","https://openalex.org/W3082306706","https://openalex.org/W3098948347","https://openalex.org/W3101361690","https://openalex.org/W3130403261","https://openalex.org/W3162248440","https://openalex.org/W3164077165","https://openalex.org/W3184214471","https://openalex.org/W3184584171","https://openalex.org/W3194996036","https://openalex.org/W3206106886","https://openalex.org/W3216133448","https://openalex.org/W6777516530","https://openalex.org/W6782075908","https://openalex.org/W6800657449","https://openalex.org/W6802616995","https://openalex.org/W6804371539"],"related_works":["https://openalex.org/W4385848583","https://openalex.org/W2084380226","https://openalex.org/W1986639957","https://openalex.org/W2765323799","https://openalex.org/W1975492702","https://openalex.org/W2988151920","https://openalex.org/W4205277903","https://openalex.org/W2432204510","https://openalex.org/W2040638560","https://openalex.org/W4318906477"],"abstract_inverted_index":{"Many":[0],"intracellular":[1],"events":[2,22],"trigger":[3],"upon":[4],"attaining":[5],"critical":[6],"concentrations":[7,171],"of":[8,20,57,71,75,247,253,263],"their":[9],"corresponding":[10],"regulatory":[11],"proteins.":[12],"How":[13],"cells":[14,159,168,184],"ensure":[15],"precision":[16],"in":[17,110,150,163],"the":[18,43,46,55,68,121,129,141,164,174,178,192,197,203,214,219,230,236,239,245,260,264],"timing":[19,56],"these":[21,248],"is":[23,200,259],"a":[24,61,101,145,269],"fundamental":[25],"problem.":[26,65],"Models":[27],"used":[28],"to":[29,50,153,212],"study":[30,67],"protein":[31,58],"dynamics":[32,149],"often":[33],"do":[34,79],"not":[35,80],"explicitly":[36,81],"account":[37],"for":[38],"cell":[39,83,180,257],"growth":[40,47,258],"and":[41,93,124,232,250],"consider":[42,82],"dilution":[44],"by":[45],"as":[48,60,210],"equivalent":[49],"degradation.":[51],"Here,":[52],"we":[53],"formulate":[54],"threshold-crossing":[59],"first-passage":[62],"time":[63,216],"(FPT)":[64],"We":[66,206,243],"FPT":[69,123,138,194,220,227],"statistics":[70],"three":[72,134,166,241],"classical":[73],"models":[74,135],"gene":[76],"expression":[77,109],"that":[78,106,217,228],"growth:":[84],"(birth-death":[85],"process,":[86],"discrete":[87],"birth":[88],"with":[89,100],"continuous":[90],"deterministic":[91,156],"degradation,":[92],"Fokker-Planck":[94],"approximation).":[95],"These":[96],"results":[97],"were":[98],"compared":[99],"fourth":[102,142,223],"model":[103,224,255],"(growing":[104],"cell)":[105],"comprises":[107],"size-dependent":[108],"an":[111,154],"exponentially":[112],"elongating":[113],"cell.":[114,270],"This":[115],"article":[116],"specifically":[117],"focuses":[118],"on":[119,128,235],"how":[120],"mean":[122,193,215],"its":[125],"fluctuations":[126,234],"depend":[127],"threshold":[130,198,209],"concentration.":[131,176],"The":[132,222],"first":[133,165],"offer":[136],"similar":[137],"statistics,":[139],"while":[140],"one":[143],"shows":[144],"transition":[146],"between":[147],"noisy":[148],"small":[151,190],"sizes":[152],"almost":[155],"behavior":[157],"when":[158,256],"grow":[160],"enough.":[161],"While":[162],"models,":[167],"can":[169,185],"reach":[170,186],"higher":[172,201,226],"than":[173,202,238],"steady-state":[175],"In":[177],"growing":[179],"model,":[181],"although":[182],"some":[183,251],"steady":[187,204],"level":[188],"at":[189],"sizes,":[191],"diverges":[195],"if":[196],"concentration":[199,267],"one.":[205],"use":[207],"this":[208,254],"parameter":[211],"estimate":[213],"minimizes":[218,229],"variability.":[221],"predicts":[225],"noise":[231],"fewer":[233],"FPTs":[237],"other":[240],"models.":[242],"discuss":[244],"origin":[246],"divergences":[249],"applications":[252],"leading":[261],"cause":[262],"decreasing":[265],"molecule":[266],"within":[268]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}