OMIP‐095 : 40‐Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues
High‐dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte...
Saved in:
Published in | Cytometry. Part A Vol. 103; no. 11; pp. 839 - 850 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.11.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | High‐dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40‐color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co‐stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre‐clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40‐color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping. |
---|---|
AbstractList | High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer’s patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping. High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping.High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping. |
Author | Kare, Aris J. Zermeno, Ricardo Tumbale, Spencer K. Raie, Marina N. Nichols, Lisa Ferrara, Katherine W. |
AuthorAffiliation | 1 Department of Bioengineering, Stanford University, Stanford, CA 94305, USA 3 Department of Radiology, Stanford University, Stanford, CA 94305, USA 2 Stanford Shared FACS Facility, Stanford University, Stanford, CA 94305, USA |
AuthorAffiliation_xml | – name: 1 Department of Bioengineering, Stanford University, Stanford, CA 94305, USA – name: 3 Department of Radiology, Stanford University, Stanford, CA 94305, USA – name: 2 Stanford Shared FACS Facility, Stanford University, Stanford, CA 94305, USA |
Author_xml | – sequence: 1 givenname: Aris J. orcidid: 0000-0002-4896-2853 surname: Kare fullname: Kare, Aris J. organization: Department of Bioengineering Stanford University Stanford California USA, Department of Radiology Stanford University Stanford California USA – sequence: 2 givenname: Lisa orcidid: 0000-0003-3635-0435 surname: Nichols fullname: Nichols, Lisa organization: Stanford Shared FACS Facility Stanford University Stanford California USA – sequence: 3 givenname: Ricardo surname: Zermeno fullname: Zermeno, Ricardo organization: Stanford Shared FACS Facility Stanford University Stanford California USA – sequence: 4 givenname: Marina N. orcidid: 0000-0002-5549-404X surname: Raie fullname: Raie, Marina N. organization: Department of Radiology Stanford University Stanford California USA – sequence: 5 givenname: Spencer K. orcidid: 0000-0002-0616-8280 surname: Tumbale fullname: Tumbale, Spencer K. organization: Department of Radiology Stanford University Stanford California USA – sequence: 6 givenname: Katherine W. orcidid: 0000-0002-4976-9107 surname: Ferrara fullname: Ferrara, Katherine W. organization: Department of Radiology Stanford University Stanford California USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37768325$$D View this record in MEDLINE/PubMed |
BookMark | eNpt0c1u1DAQB3ALFdEPuHFGlrhwYBd_JXa4VGhVoFJROcDZcpwJ9eLEwXZAe-sj8Iw8CU5bVlBx8kj-eTyj_zE6GMMICD2lZE0JYa_sLoe1WTMhlXqAjmhVsZVoODnY14wdouOUtoTwinD2CB1yKWvFWXWE5ssP5x9_Xf8kTYVfY0FKuQk-RJwmsDkaj3sffuDlkwFy3OEOvBvBZEjYeI8Hsy3Yw_w1FAN4CtPsTXZhTNiNeJhj0djvhukquA5nl9IM6TF62Buf4MndeYI-vz37tHm_urh8d755c7GygvK8Um2rKisVF6ruhaC95aJnbdcAGNm0lHXSSkkFAV4LYSltqrY2vBedhKpVNT9Bp7d9p7kdoLMwLivpKbrBxJ0Oxul_b0Z3pb-E75oSJXjdLB1e3HWI4VuZPOvBJQvemxHCnDRTklBBJWGFPr9Ht2GOY9mvKCWpErKSRT37e6T9LH8iKeDlLbAxpBSh3xNK9JK4XsLQRt8kXji7x63LNwGUhZz__6PfSHyzRg |
CitedBy_id | crossref_primary_10_1016_j_jim_2025_113854 crossref_primary_10_1002_cyto_a_24926 crossref_primary_10_1002_cyto_a_24927 crossref_primary_10_1002_cyto_a_24921 crossref_primary_10_1002_cyto_a_24845 crossref_primary_10_3390_cells14020148 crossref_primary_10_3390_cells13181583 crossref_primary_10_1126_scitranslmed_adm8451 crossref_primary_10_1002_cyto_a_24886 crossref_primary_10_1021_acsnano_4c04345 |
Cites_doi | 10.1080/10428190902803677 10.3390/cells8080939 10.1038/nm1356 10.2450/2011.0020-11 10.1007/s00281-016-0583-z 10.1016/j.jaci.2012.07.025 10.1038/nri1845 10.4049/jimmunol.1502033 10.1016/j.it.2012.02.010 10.1038/cr.2016.151 10.4049/jimmunol.1000758 10.2215/cjn.09430915 10.1016/j.cell.2018.09.030 10.1146/annurev-immunol-020711-074950 10.1038/s41467-020-19192-z 10.1038/ni.3159 10.1126/scisignal.aaa9303 10.1038/srep25060 10.7554/eLife.51678 10.1016/j.immuni.2020.04.005 10.1016/j.cell.2008.05.009 10.1002/cyto.a.23845 10.1002/cyto.a.23754 10.4049/jimmunol.1601629 10.1186/s40425-016-0120-6 10.1016/j.cell.2019.09.035 10.1074/jbc.M200305200 10.4049/jimmunol.0803783 10.1002/eji.201242847 10.1371/journal.pone.0061024 10.1186/s12979-021-00230-3 10.1182/blood-2011-11-395954 10.1002/cyto.a.24211 10.1002/cyto.a.24555 10.1126/sciadv.aay1357 10.1161/circresaha.117.312513 10.1126/science.1198443 10.3389/fimmu.2020.02103 10.1074/jbc.M105902200 10.1002/cyto.a.24213 10.3389/fimmu.2019.01084 10.1084/jem.190.1.75 10.1080/2162402x.2017.1393134 10.1038/s41590-021-01078-x 10.1038/cmi.2015.42 10.1186/s13045-021-01187-y 10.1002/cyto.a.23880 10.3389/fimmu.2013.00438 10.3389/fimmu.2019.01315 10.3389/fimmu.2013.00446 10.1016/j.coi.2005.04.004 10.1038/s41577-019-0244-2 10.1117/12.758958 10.1182/blood-2008-10-187179 10.1126/science.1175202 10.1084/jem.20190673 10.1016/j.immuni.2016.03.012 10.1038/s41571-019-0175-7 10.1002/eji.201040760 10.1038/nri3383 10.3389/fimmu.2020.588552 10.1158/0008-5472.Can-12-4174 10.3389/fmolb.2020.612801 10.1038/leu.2014.84 10.1093/intimm/dxy064 10.1158/2326-6066.Cir-17-0258 10.1038/nn.4610 10.3389/fimmu.2014.00614 10.3389/fonc.2019.01146 10.3389/fimmu.2015.00480 10.1002/cpcy.70 10.3389/fimmu.2012.00023 10.3389/fimmu.2019.01068 10.1146/annurev.pharmtox.010909.105812 10.1016/j.it.2016.12.007 10.4049/jimmunol.176.3.1517 10.3389/fimmu.2015.00406 10.1016/j.immuni.2021.07.015 10.1002/eji.1830270935 10.1038/s41590-021-01006-z 10.1038/s43587-021-00148-x 10.1038/s43586-022-00156-0 10.3389/fimmu.2020.01117 10.1038/s41577-019-0210-z 10.1002/cyto.a.23725 10.1038/ncb437 10.1016/j.immuni.2016.08.015 10.1038/ni.3094 10.3389/fimmu.2018.01869 10.1158/2159-8290.Cd-15-1032 10.1111/j.1600-065X.2009.00766.x 10.1016/j.immuni.2014.01.006 10.1615/critrevimmunol.v29.i3.10 10.4049/jimmunol.158.3.1108 10.1002/cyto.a.24509 10.3389/fbioe.2022.827987 10.1208/s12248-021-00633-6 10.1126/science.aaa6566 10.1002/cyto.a.22012 10.1158/1078-0432.CCR-15-1655 10.4049/jimmunol.167.12.6834 10.1038/ncomms6997 10.1002/cyto.a.24471 10.1038/cmi.2016.28 10.1002/cyto.a.22808 10.1111/j.1600-065X.2006.00454.x 10.1002/cyto.a.22867 10.1038/s41577-020-0332-3 10.3390/ijms22136995 10.1371/journal.pone.0145342 10.3389/fimmu.2019.03130 10.1002/cyto.a.24474 10.1016/j.immuni.2018.10.005 10.1002/1521-4141(200104)31:4<1261::AID-IMMU1261gt;3.0.CO;2-H 10.1186/s13578-022-00823-5 10.1186/s13046-021-02215-y 10.1016/j.celrep.2017.08.068 10.7150/thno.73218 10.1002/cyto.a.22686 10.1080/2162402x.2016.1185583 10.12703/p6-13 10.3389/fimmu.2018.01904 10.1038/nm1352 10.1016/j.ccell.2020.02.008 10.1038/mi.2012.89 10.1146/annurev-immunol-061020-053707 10.3389/fimmu.2019.00834 10.1371/journal.pone.0013441 10.1111/j.1365-2567.2008.02989.x 10.1002/cyto.a.24740 10.4049/jimmunol.1300692 10.1038/ni.2914 10.3389/fimmu.2019.02093 10.3389/fimmu.2019.02434 10.1111/j.1365-2567.2012.03582.x 10.1002/cyto.a.24288 10.1002/eji.201444570 |
ContentType | Journal Article |
Copyright | 2023 International Society for Advancement of Cytometry. 2023 International Society for Advancement of Cytometry |
Copyright_xml | – notice: 2023 International Society for Advancement of Cytometry. – notice: 2023 International Society for Advancement of Cytometry |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QO 7TK 8FD FR3 P64 7X8 5PM |
DOI | 10.1002/cyto.a.24788 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Biotechnology Research Abstracts Neurosciences Abstracts Technology Research Database Engineering Research Database Biotechnology and BioEngineering Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Engineering Research Database Biotechnology Research Abstracts Technology Research Database Neurosciences Abstracts Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitleList | Engineering Research Database CrossRef MEDLINE MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 1552-4930 |
EndPage | 850 |
ExternalDocumentID | PMC10843696 37768325 10_1002_cyto_a_24788 |
Genre | Journal Article Research Support, N.I.H., Extramural |
GrantInformation_xml | – fundername: NCI NIH HHS grantid: R01 CA250557 – fundername: NCI NIH HHS grantid: R01 CA112356 – fundername: NCI NIH HHS grantid: R01 CA253316 – fundername: NIBIB NIH HHS grantid: R01 EB028646 – fundername: NIGMS NIH HHS grantid: T32 GM007276 |
GroupedDBID | --- -~X .3N .GA .Y3 05W 0R~ 10A 1L6 1OC 2WC 31~ 33P 3SF 4.4 4ZD 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5GY 5VS 66C 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHHS AAHQN AAMNL AANLZ AAONW AASGY AAXRX AAYCA AAYXX AAZKR ABCQN ABCUV ABEML ABIJN ABLJU ABPVW ACAHQ ACCFJ ACCZN ACFBH ACGFS ACIWK ACPOU ACPRK ACSCC ACXBN ACXQS ADBBV ADEOM ADIZJ ADKYN ADMGS ADOZA ADXAS ADZMN ADZOD AEEZP AEGXH AEIGN AEIMD AENEX AEQDE AEUYR AEYWJ AFBPY AFFPM AFGKR AFRAH AFWVQ AFZJQ AGHNM AGYGG AHBTC AITYG AIURR AIWBW AJBDE AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ATUGU AUFTA AZBYB AZVAB BAFTC BAWUL BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CITATION CO8 CS3 D-E D-F DCZOG DIK DPXWK DR2 DRFUL DRSTM DU5 E3Z EBD EBS EJD EMOBN F00 F01 F04 F5P G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HHZ HZ~ IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG OK1 P2P P2W P2X P4D Q.N QB0 QRW R.K RNS ROL SUPJJ SV3 UB1 V2E W8V W99 WBKPD WIH WIK WIN WJL WNSPC WOHZO WQJ WXSBR WYISQ XG1 XV2 ZZTAW ~IA ~KM ~WT AAMMB AEFGJ AGXDD AIDQK AIDYY CGR CUY CVF ECM EIF NPM 7QO 7TK 8FD FR3 P64 7X8 5PM |
ID | FETCH-LOGICAL-c413t-8bb85c783486f441fc34f2bd9eea79b12d7c77140e3644c1195b6a3f4d7e5b863 |
ISSN | 1552-4922 1552-4930 |
IngestDate | Thu Aug 21 18:44:00 EDT 2025 Fri Jul 11 00:02:51 EDT 2025 Fri Jul 25 21:05:55 EDT 2025 Mon Jul 21 05:52:50 EDT 2025 Tue Jul 01 00:49:22 EDT 2025 Thu Apr 24 23:12:36 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 11 |
Keywords | murine immunophenotyping primary and secondary lymphoid tissues cell sorting innate and adaptive immunity pre-clinical research extracellular staining systems immunology full spectrum flow cytometry |
Language | English |
License | 2023 International Society for Advancement of Cytometry. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c413t-8bb85c783486f441fc34f2bd9eea79b12d7c77140e3644c1195b6a3f4d7e5b863 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 L.N. – Panel Optimization, Experimentation, Writing, Editing, Data Analysis M.N.R. – Tissue collection, Experimentation, Editing S.K.T. – Experimentation, Editing A.J.K. – Conception, Panel Design, Panel Optimization, Experimentation, Writing, Editing, Data Analysis R.Z. – Panel Design, Experimentation Author Contributions K.W.F. – Editing, Funding, Supervision, Resources, Review |
ORCID | 0000-0003-3635-0435 0000-0002-0616-8280 0000-0002-4896-2853 0000-0002-5549-404X 0000-0002-4976-9107 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/10843696 |
PMID | 37768325 |
PQID | 2887184757 |
PQPubID | 2045167 |
PageCount | 12 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_10843696 proquest_miscellaneous_2870141702 proquest_journals_2887184757 pubmed_primary_37768325 crossref_primary_10_1002_cyto_a_24788 crossref_citationtrail_10_1002_cyto_a_24788 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2023-11-01 |
PublicationDateYYYYMMDD | 2023-11-01 |
PublicationDate_xml | – month: 11 year: 2023 text: 2023-11-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Hoboken |
PublicationTitle | Cytometry. Part A |
PublicationTitleAlternate | Cytometry A |
PublicationYear | 2023 |
Publisher | Wiley Subscription Services, Inc |
Publisher_xml | – name: Wiley Subscription Services, Inc |
References | e_1_2_9_75_1 e_1_2_9_98_1 e_1_2_9_52_1 e_1_2_9_79_1 e_1_2_9_94_1 e_1_2_9_10_1 e_1_2_9_56_1 e_1_2_9_33_1 e_1_2_9_90_1 e_1_2_9_71_1 e_1_2_9_103_1 e_1_2_9_126_1 e_1_2_9_107_1 e_1_2_9_122_1 e_1_2_9_14_1 e_1_2_9_37_1 e_1_2_9_18_1 e_1_2_9_41_1 e_1_2_9_64_1 e_1_2_9_87_1 e_1_2_9_22_1 e_1_2_9_45_1 e_1_2_9_68_1 e_1_2_9_83_1 e_1_2_9_6_1 e_1_2_9_119_1 e_1_2_9_60_1 e_1_2_9_2_1 e_1_2_9_138_1 e_1_2_9_111_1 e_1_2_9_134_1 e_1_2_9_115_1 e_1_2_9_26_1 e_1_2_9_49_1 e_1_2_9_30_1 e_1_2_9_53_1 e_1_2_9_99_1 e_1_2_9_72_1 e_1_2_9_11_1 e_1_2_9_34_1 e_1_2_9_57_1 e_1_2_9_95_1 e_1_2_9_76_1 e_1_2_9_91_1 e_1_2_9_102_1 e_1_2_9_129_1 e_1_2_9_106_1 e_1_2_9_125_1 e_1_2_9_15_1 e_1_2_9_38_1 e_1_2_9_121_1 e_1_2_9_19_1 e_1_2_9_42_1 e_1_2_9_88_1 e_1_2_9_61_1 e_1_2_9_46_1 e_1_2_9_84_1 e_1_2_9_23_1 e_1_2_9_65_1 e_1_2_9_80_1 e_1_2_9_5_1 e_1_2_9_114_1 e_1_2_9_137_1 e_1_2_9_118_1 e_1_2_9_133_1 e_1_2_9_9_1 e_1_2_9_27_1 e_1_2_9_69_1 e_1_2_9_110_1 e_1_2_9_31_1 e_1_2_9_50_1 e_1_2_9_73_1 e_1_2_9_35_1 e_1_2_9_77_1 e_1_2_9_96_1 e_1_2_9_12_1 e_1_2_9_54_1 e_1_2_9_92_1 e_1_2_9_109_1 McInnes L (e_1_2_9_130_1) 2018 e_1_2_9_101_1 e_1_2_9_128_1 e_1_2_9_105_1 e_1_2_9_124_1 e_1_2_9_39_1 e_1_2_9_120_1 e_1_2_9_16_1 e_1_2_9_58_1 e_1_2_9_20_1 e_1_2_9_62_1 e_1_2_9_89_1 e_1_2_9_24_1 e_1_2_9_43_1 e_1_2_9_66_1 e_1_2_9_85_1 e_1_2_9_8_1 e_1_2_9_81_1 e_1_2_9_4_1 e_1_2_9_113_1 e_1_2_9_117_1 e_1_2_9_136_1 e_1_2_9_28_1 e_1_2_9_47_1 e_1_2_9_132_1 e_1_2_9_74_1 e_1_2_9_51_1 e_1_2_9_78_1 e_1_2_9_13_1 e_1_2_9_32_1 e_1_2_9_55_1 e_1_2_9_97_1 e_1_2_9_93_1 e_1_2_9_108_1 e_1_2_9_70_1 e_1_2_9_127_1 e_1_2_9_100_1 e_1_2_9_123_1 e_1_2_9_104_1 e_1_2_9_17_1 e_1_2_9_36_1 e_1_2_9_59_1 e_1_2_9_63_1 e_1_2_9_40_1 e_1_2_9_21_1 e_1_2_9_67_1 e_1_2_9_44_1 e_1_2_9_86_1 e_1_2_9_7_1 e_1_2_9_82_1 e_1_2_9_3_1 e_1_2_9_112_1 e_1_2_9_139_1 e_1_2_9_116_1 e_1_2_9_135_1 e_1_2_9_25_1 e_1_2_9_131_1 e_1_2_9_48_1 e_1_2_9_29_1 |
References_xml | – ident: e_1_2_9_70_1 doi: 10.1080/10428190902803677 – ident: e_1_2_9_65_1 doi: 10.3390/cells8080939 – ident: e_1_2_9_86_1 doi: 10.1038/nm1356 – ident: e_1_2_9_43_1 doi: 10.2450/2011.0020-11 – ident: e_1_2_9_93_1 doi: 10.1007/s00281-016-0583-z – ident: e_1_2_9_41_1 doi: 10.1016/j.jaci.2012.07.025 – ident: e_1_2_9_96_1 doi: 10.1038/nri1845 – ident: e_1_2_9_31_1 doi: 10.4049/jimmunol.1502033 – ident: e_1_2_9_16_1 doi: 10.1016/j.it.2012.02.010 – ident: e_1_2_9_66_1 doi: 10.1038/cr.2016.151 – ident: e_1_2_9_54_1 doi: 10.4049/jimmunol.1000758 – ident: e_1_2_9_44_1 doi: 10.2215/cjn.09430915 – ident: e_1_2_9_2_1 doi: 10.1016/j.cell.2018.09.030 – ident: e_1_2_9_94_1 doi: 10.1146/annurev-immunol-020711-074950 – ident: e_1_2_9_99_1 doi: 10.1038/s41467-020-19192-z – ident: e_1_2_9_128_1 doi: 10.1038/ni.3159 – ident: e_1_2_9_5_1 doi: 10.1126/scisignal.aaa9303 – ident: e_1_2_9_107_1 doi: 10.1038/srep25060 – ident: e_1_2_9_6_1 doi: 10.7554/eLife.51678 – ident: e_1_2_9_103_1 doi: 10.1016/j.immuni.2020.04.005 – ident: e_1_2_9_60_1 doi: 10.1016/j.cell.2008.05.009 – ident: e_1_2_9_137_1 doi: 10.1002/cyto.a.23845 – ident: e_1_2_9_136_1 doi: 10.1002/cyto.a.23754 – ident: e_1_2_9_92_1 doi: 10.4049/jimmunol.1601629 – ident: e_1_2_9_90_1 doi: 10.1186/s40425-016-0120-6 – ident: e_1_2_9_95_1 doi: 10.1016/j.cell.2019.09.035 – ident: e_1_2_9_50_1 doi: 10.1074/jbc.M200305200 – ident: e_1_2_9_59_1 doi: 10.4049/jimmunol.0803783 – ident: e_1_2_9_112_1 doi: 10.1002/eji.201242847 – ident: e_1_2_9_84_1 doi: 10.1371/journal.pone.0061024 – ident: e_1_2_9_9_1 doi: 10.1186/s12979-021-00230-3 – ident: e_1_2_9_87_1 doi: 10.1182/blood-2011-11-395954 – ident: e_1_2_9_20_1 doi: 10.1002/cyto.a.24211 – ident: e_1_2_9_23_1 doi: 10.1002/cyto.a.24555 – ident: e_1_2_9_104_1 doi: 10.1126/sciadv.aay1357 – ident: e_1_2_9_11_1 doi: 10.1161/circresaha.117.312513 – ident: e_1_2_9_109_1 doi: 10.1126/science.1198443 – ident: e_1_2_9_125_1 doi: 10.3389/fimmu.2020.02103 – ident: e_1_2_9_58_1 doi: 10.1074/jbc.M105902200 – ident: e_1_2_9_25_1 doi: 10.1002/cyto.a.24213 – ident: e_1_2_9_122_1 doi: 10.3389/fimmu.2019.01084 – ident: e_1_2_9_47_1 doi: 10.1084/jem.190.1.75 – ident: e_1_2_9_129_1 doi: 10.1080/2162402x.2017.1393134 – ident: e_1_2_9_15_1 doi: 10.1038/s41590-021-01078-x – ident: e_1_2_9_82_1 doi: 10.1038/cmi.2015.42 – ident: e_1_2_9_127_1 doi: 10.1186/s13045-021-01187-y – ident: e_1_2_9_138_1 doi: 10.1002/cyto.a.23880 – ident: e_1_2_9_97_1 doi: 10.3389/fimmu.2013.00438 – ident: e_1_2_9_14_1 doi: 10.3389/fimmu.2019.01315 – ident: e_1_2_9_88_1 doi: 10.3389/fimmu.2013.00446 – ident: e_1_2_9_67_1 doi: 10.1016/j.coi.2005.04.004 – ident: e_1_2_9_45_1 doi: 10.1038/s41577-019-0244-2 – ident: e_1_2_9_21_1 doi: 10.1117/12.758958 – ident: e_1_2_9_78_1 doi: 10.1182/blood-2008-10-187179 – ident: e_1_2_9_108_1 doi: 10.1126/science.1175202 – ident: e_1_2_9_101_1 doi: 10.1084/jem.20190673 – ident: e_1_2_9_3_1 doi: 10.1016/j.immuni.2016.03.012 – ident: e_1_2_9_61_1 doi: 10.1038/s41571-019-0175-7 – ident: e_1_2_9_74_1 doi: 10.1002/eji.201040760 – ident: e_1_2_9_52_1 doi: 10.1038/nri3383 – ident: e_1_2_9_124_1 doi: 10.3389/fimmu.2020.588552 – ident: e_1_2_9_73_1 doi: 10.1158/0008-5472.Can-12-4174 – ident: e_1_2_9_4_1 doi: 10.3389/fmolb.2020.612801 – ident: e_1_2_9_69_1 doi: 10.1038/leu.2014.84 – ident: e_1_2_9_106_1 doi: 10.1093/intimm/dxy064 – ident: e_1_2_9_111_1 doi: 10.1158/2326-6066.Cir-17-0258 – ident: e_1_2_9_13_1 doi: 10.1038/nn.4610 – ident: e_1_2_9_116_1 doi: 10.3389/fimmu.2014.00614 – ident: e_1_2_9_126_1 doi: 10.3389/fonc.2019.01146 – ident: e_1_2_9_114_1 doi: 10.3389/fimmu.2015.00480 – ident: e_1_2_9_27_1 doi: 10.1002/cpcy.70 – ident: e_1_2_9_63_1 doi: 10.3389/fimmu.2012.00023 – ident: e_1_2_9_62_1 doi: 10.3389/fimmu.2019.01068 – ident: e_1_2_9_115_1 doi: 10.1146/annurev.pharmtox.010909.105812 – ident: e_1_2_9_7_1 doi: 10.1016/j.it.2016.12.007 – ident: e_1_2_9_79_1 doi: 10.4049/jimmunol.176.3.1517 – ident: e_1_2_9_36_1 doi: 10.3389/fimmu.2015.00406 – ident: e_1_2_9_56_1 doi: 10.1016/j.immuni.2021.07.015 – ident: e_1_2_9_49_1 doi: 10.1002/eji.1830270935 – ident: e_1_2_9_28_1 doi: 10.1038/s41590-021-01006-z – ident: e_1_2_9_8_1 doi: 10.1038/s43587-021-00148-x – ident: e_1_2_9_24_1 doi: 10.1038/s43586-022-00156-0 – ident: e_1_2_9_38_1 doi: 10.3389/fimmu.2020.01117 – ident: e_1_2_9_37_1 doi: 10.1038/s41577-019-0210-z – ident: e_1_2_9_135_1 doi: 10.1002/cyto.a.23725 – ident: e_1_2_9_10_1 doi: 10.1038/ncb437 – ident: e_1_2_9_12_1 doi: 10.1016/j.immuni.2016.08.015 – ident: e_1_2_9_77_1 doi: 10.1038/ni.3094 – ident: e_1_2_9_33_1 doi: 10.3389/fimmu.2018.01869 – ident: e_1_2_9_110_1 doi: 10.1158/2159-8290.Cd-15-1032 – ident: e_1_2_9_71_1 doi: 10.1111/j.1600-065X.2009.00766.x – ident: e_1_2_9_119_1 doi: 10.1016/j.immuni.2014.01.006 – ident: e_1_2_9_72_1 doi: 10.1615/critrevimmunol.v29.i3.10 – ident: e_1_2_9_55_1 doi: 10.4049/jimmunol.158.3.1108 – ident: e_1_2_9_134_1 doi: 10.1002/cyto.a.24509 – ident: e_1_2_9_22_1 doi: 10.3389/fbioe.2022.827987 – ident: e_1_2_9_19_1 doi: 10.1208/s12248-021-00633-6 – ident: e_1_2_9_76_1 doi: 10.1126/science.aaa6566 – ident: e_1_2_9_35_1 doi: 10.1002/cyto.a.22012 – ident: e_1_2_9_89_1 doi: 10.1158/1078-0432.CCR-15-1655 – ident: e_1_2_9_51_1 doi: 10.4049/jimmunol.167.12.6834 – ident: e_1_2_9_53_1 doi: 10.1038/ncomms6997 – ident: e_1_2_9_29_1 doi: 10.1002/cyto.a.24471 – ident: e_1_2_9_83_1 doi: 10.1038/cmi.2016.28 – ident: e_1_2_9_131_1 doi: 10.1002/cyto.a.22808 – ident: e_1_2_9_80_1 doi: 10.1111/j.1600-065X.2006.00454.x – ident: e_1_2_9_132_1 doi: 10.1002/cyto.a.22867 – ident: e_1_2_9_34_1 doi: 10.1038/s41577-020-0332-3 – ident: e_1_2_9_117_1 doi: 10.3390/ijms22136995 – ident: e_1_2_9_121_1 doi: 10.1371/journal.pone.0145342 – ident: e_1_2_9_42_1 doi: 10.3389/fimmu.2019.03130 – ident: e_1_2_9_133_1 doi: 10.1002/cyto.a.24474 – ident: e_1_2_9_39_1 doi: 10.1016/j.immuni.2018.10.005 – ident: e_1_2_9_46_1 doi: 10.1002/1521-4141(200104)31:4<1261::AID-IMMU1261gt;3.0.CO;2-H – ident: e_1_2_9_120_1 doi: 10.1186/s13578-022-00823-5 – ident: e_1_2_9_68_1 doi: 10.1186/s13046-021-02215-y – ident: e_1_2_9_64_1 doi: 10.1016/j.celrep.2017.08.068 – ident: e_1_2_9_100_1 doi: 10.7150/thno.73218 – year: 2018 ident: e_1_2_9_130_1 article-title: Umap: uniform manifold approximation and projection for dimension reduction publication-title: arXiv preprint – ident: e_1_2_9_17_1 doi: 10.1002/cyto.a.22686 – ident: e_1_2_9_105_1 doi: 10.1080/2162402x.2016.1185583 – ident: e_1_2_9_118_1 doi: 10.12703/p6-13 – ident: e_1_2_9_75_1 doi: 10.3389/fimmu.2018.01904 – ident: e_1_2_9_85_1 doi: 10.1038/nm1352 – ident: e_1_2_9_98_1 doi: 10.1016/j.ccell.2020.02.008 – ident: e_1_2_9_113_1 doi: 10.1038/mi.2012.89 – ident: e_1_2_9_91_1 doi: 10.1146/annurev-immunol-061020-053707 – ident: e_1_2_9_40_1 doi: 10.3389/fimmu.2019.00834 – ident: e_1_2_9_102_1 doi: 10.1371/journal.pone.0013441 – ident: e_1_2_9_18_1 doi: 10.1111/j.1365-2567.2008.02989.x – ident: e_1_2_9_139_1 doi: 10.1002/cyto.a.24740 – ident: e_1_2_9_48_1 doi: 10.4049/jimmunol.1300692 – ident: e_1_2_9_57_1 doi: 10.1038/ni.2914 – ident: e_1_2_9_123_1 doi: 10.3389/fimmu.2019.02093 – ident: e_1_2_9_30_1 doi: 10.3389/fimmu.2019.02434 – ident: e_1_2_9_32_1 doi: 10.1111/j.1365-2567.2012.03582.x – ident: e_1_2_9_26_1 doi: 10.1002/cyto.a.24288 – ident: e_1_2_9_81_1 doi: 10.1002/eji.201444570 |
SSID | ssj0035032 |
Score | 2.4445105 |
Snippet | High‐dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the... High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the... |
SourceID | pubmedcentral proquest pubmed crossref |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 839 |
SubjectTerms | Animal models Animals Blood Blood circulation Bone marrow Color Dendritic cells Eosinophils Flow cytometry Flow Cytometry - methods Immune system Immunity, Innate Immunology Immunophenotyping Immunotherapy Killer Cells, Natural Leukocyte migration Leukocytes Leukocytes (basophilic) Leukocytes (eosinophilic) Leukocytes (neutrophilic) Lymph nodes Lymphocytes Lymphocytes B Lymphocytes T Lymphoid cells Lymphoid Tissue Macrophages Mice Monocytes Natural killer cells Peyer's patches Phenotypes Surface markers T-Lymphocytes |
Title | OMIP‐095 : 40‐Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues |
URI | https://www.ncbi.nlm.nih.gov/pubmed/37768325 https://www.proquest.com/docview/2887184757 https://www.proquest.com/docview/2870141702 https://pubmed.ncbi.nlm.nih.gov/PMC10843696 |
Volume | 103 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LjtMwFLXKICQ2iDeFARkJVlFKYudVdqjMaEDzQKiVRmyixHE0hTYZtalQWfEJfArfxJdwr-24KQNoYBNFjuU6PSf3YfveS8gzn8syinnhJoUPDgqucCRJwF2ZeSIToHEFx9jho-PoYBK8PQ1Pe73vnVNLqyYfiC-_jSv5H1ShDXDFKNl_QNYOCg1wD_jCFRCG66UwPjl6886eVgArBt37wLMtoxrLZ6hYSgzDL2f1Z0esm3oum8XaKTASXaKp6eD29Dz7CJ1ncvWphj7SObeVvdSJ2Tmuyktntgb062nhNAqwZde2HbVDD8AuXTSbVVIMOFMyCATKZhsKOAiSd6kXBpZWO3wAVSFVPXAM-gf-1p2tKGnCi6ZVZvaQzIIF4yZy7_JisSuOQ-YGQx25PJDdNrOb08pwj3fJ6ndEcqKTJbXaXae5vaA4dCJaxGCQDRjWFNgoyPZQwPFJuj85PEzHe6fjK-QqA8cEa2a8fm8TlvHQUyXx7LxNqAWM_qI79rYRdMGz-fWAbsfiGd8kN4yrQl9p3t0iPVndJtd08dL1HdIg-358_Qa8e0kDD-4U32jLN4p8o5ZvdMM3Cnyjim_U8o12-EanFdV8oy3fqOHbXTLZ3xuPDlxTw8MVYB41bpLnSSiwmksSlWB6l4IHJcuLoZRZPMx9VsQixqSRkoNlLjABYR5lvAyKWIZ5EvF7ZKeqK_mAUPCty2GWBJKJAgOkc1GWzBMR-AjCF0XYJ077p6bCJLjHOiuzVKfmZim-cpqlCoI-eW57n-vELn_ot9vik5pPf5kyUM0-2HVh3CdP7WMQzLjbllWyXmGfGA9Rxx7rk_saTvtDPAYvnzOYcrIFtO2ASd-3n1TTM5X83fdAlEbD6OHf5_WIXN98e7tkp1ms5GMwn5v8iWLsT254y4g |
linkProvider | Wiley-Blackwell |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=OMIP%E2%80%90095%3A+40%E2%80%90Color+spectral+flow+cytometry+delineates+all+major+leukocyte+populations+in+murine+lymphoid+tissues&rft.jtitle=Cytometry.+Part+A&rft.au=Kare%2C+Aris+J&rft.au=Nichols%2C+Lisa&rft.au=Zermeno%2C+Ricardo&rft.au=Raie%2C+Marina+N&rft.date=2023-11-01&rft.pub=Wiley+Subscription+Services%2C+Inc&rft.issn=1552-4922&rft.eissn=1552-4930&rft.volume=103&rft.issue=11&rft.spage=839&rft.epage=850&rft_id=info:doi/10.1002%2Fcyto.a.24788&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1552-4922&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1552-4922&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1552-4922&client=summon |