The relationship between key genes and immune microenvironment.
<p>(A and B) DCXR and HRSP12 expression between control samples and DN samples. (C and D) DCXR and HRSP12 expression between cluster C1 and cluster C2. (E and F) The correlation between DCXR and HRSP12 and immune score. (G) The correlation between DCXR and HRSP12 and immune cell subtypes.</...
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2025
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| _version_ | 1852019695845113856 |
|---|---|
| author | Hongmin Luo (2142307) |
| author2 | Yuxuan Cao (12490494) Liping Guo (596697) Hui Li (32376) Yingying Yuan (9674249) Fan Lu (490738) |
| author2_role | author author author author author |
| author_facet | Hongmin Luo (2142307) Yuxuan Cao (12490494) Liping Guo (596697) Hui Li (32376) Yingying Yuan (9674249) Fan Lu (490738) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hongmin Luo (2142307) Yuxuan Cao (12490494) Liping Guo (596697) Hui Li (32376) Yingying Yuan (9674249) Fan Lu (490738) |
| dc.date.none.fl_str_mv | 2025-06-03T20:13:12Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0321636.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/The_relationship_between_key_genes_and_immune_microenvironment_/29230247 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Microbiology Cell Biology Genetics Molecular Biology Evolutionary Biology Immunology Developmental Biology Marine Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified ward &# 8217 responsive protein 12 potential biological markers logistic regression analysis gene expression omnibus via different algorithms related factor 2 differentially expressed genes distinguish different phenotypes determine different phenotypes immune cell subtypes consensus clustering based immune microenvironment characteristics nomogram constructed based key genes related describe disease heterogeneity related genes key genes consensus clustering immune microenvironment related pathways jointly constructed identified via disease clustering disease phenotypes immune score xylulose reductase xlink "> study focused study aimed positively correlated new clue negatively correlated learning algorithm high enrichment high accuracy disease risk diabetic nephropathy control samples cluster c2 cluster c1 clinical traits |
| dc.title.none.fl_str_mv | The relationship between key genes and immune microenvironment. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(A and B) DCXR and HRSP12 expression between control samples and DN samples. (C and D) DCXR and HRSP12 expression between cluster C1 and cluster C2. (E and F) The correlation between DCXR and HRSP12 and immune score. (G) The correlation between DCXR and HRSP12 and immune cell subtypes.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_99ee54f2b24a787d7ef57684ddd18708 |
| identifier_str_mv | 10.1371/journal.pone.0321636.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29230247 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The relationship between key genes and immune microenvironment.Hongmin Luo (2142307)Yuxuan Cao (12490494)Liping Guo (596697)Hui Li (32376)Yingying Yuan (9674249)Fan Lu (490738)MicrobiologyCell BiologyGeneticsMolecular BiologyEvolutionary BiologyImmunologyDevelopmental BiologyMarine BiologyCancerInfectious DiseasesBiological Sciences not elsewhere classifiedward &# 8217responsive protein 12potential biological markerslogistic regression analysisgene expression omnibusvia different algorithmsrelated factor 2differentially expressed genesdistinguish different phenotypesdetermine different phenotypesimmune cell subtypesconsensus clustering basedimmune microenvironment characteristicsnomogram constructed basedkey genes relateddescribe disease heterogeneityrelated geneskey genesconsensus clusteringimmune microenvironmentrelated pathwaysjointly constructedidentified viadisease clusteringdisease phenotypesimmune scorexylulose reductasexlink ">study focusedstudy aimedpositively correlatednew cluenegatively correlatedlearning algorithmhigh enrichmenthigh accuracydisease riskdiabetic nephropathycontrol samplescluster c2cluster c1clinical traits<p>(A and B) DCXR and HRSP12 expression between control samples and DN samples. (C and D) DCXR and HRSP12 expression between cluster C1 and cluster C2. (E and F) The correlation between DCXR and HRSP12 and immune score. (G) The correlation between DCXR and HRSP12 and immune cell subtypes.</p>2025-06-03T20:13:12ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0321636.g008https://figshare.com/articles/figure/The_relationship_between_key_genes_and_immune_microenvironment_/29230247CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292302472025-06-03T20:13:12Z |
| spellingShingle | The relationship between key genes and immune microenvironment. Hongmin Luo (2142307) Microbiology Cell Biology Genetics Molecular Biology Evolutionary Biology Immunology Developmental Biology Marine Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified ward &# 8217 responsive protein 12 potential biological markers logistic regression analysis gene expression omnibus via different algorithms related factor 2 differentially expressed genes distinguish different phenotypes determine different phenotypes immune cell subtypes consensus clustering based immune microenvironment characteristics nomogram constructed based key genes related describe disease heterogeneity related genes key genes consensus clustering immune microenvironment related pathways jointly constructed identified via disease clustering disease phenotypes immune score xylulose reductase xlink "> study focused study aimed positively correlated new clue negatively correlated learning algorithm high enrichment high accuracy disease risk diabetic nephropathy control samples cluster c2 cluster c1 clinical traits |
| status_str | publishedVersion |
| title | The relationship between key genes and immune microenvironment. |
| title_full | The relationship between key genes and immune microenvironment. |
| title_fullStr | The relationship between key genes and immune microenvironment. |
| title_full_unstemmed | The relationship between key genes and immune microenvironment. |
| title_short | The relationship between key genes and immune microenvironment. |
| title_sort | The relationship between key genes and immune microenvironment. |
| topic | Microbiology Cell Biology Genetics Molecular Biology Evolutionary Biology Immunology Developmental Biology Marine Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified ward &# 8217 responsive protein 12 potential biological markers logistic regression analysis gene expression omnibus via different algorithms related factor 2 differentially expressed genes distinguish different phenotypes determine different phenotypes immune cell subtypes consensus clustering based immune microenvironment characteristics nomogram constructed based key genes related describe disease heterogeneity related genes key genes consensus clustering immune microenvironment related pathways jointly constructed identified via disease clustering disease phenotypes immune score xylulose reductase xlink "> study focused study aimed positively correlated new clue negatively correlated learning algorithm high enrichment high accuracy disease risk diabetic nephropathy control samples cluster c2 cluster c1 clinical traits |