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...

Full description

Saved in:
Bibliographic Details
Published inCytometry. Part A Vol. 103; no. 11; pp. 839 - 850
Main Authors Kare, Aris J., Nichols, Lisa, Zermeno, Ricardo, Raie, Marina N., Tumbale, Spencer K., Ferrara, Katherine W.
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.11.2023
Subjects
Online AccessGet 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