The Karolinska KI/K COVID-19 Immune Atlas aims to provide a comprehensive overview of the human immune response in COVID-19 disease, freely available for scientists, both in academia, in other organizations, and in industry. Read more about the project

    The project

    The Karolinska KI/K COVID-19 Immune Atlas project was initiated in April 2020, with the aim to provide a comprehensive overview of the human immune response in COVID-19 disease. The data in this open resource will allow scientists, both in academia, in other organizations, and in industry, to freely explore the nature of the immune response. The Immune Atlas contains analysis of different immune and inflammatory cells, or group of cells, as well as soluble factors. The Karolinska KI/K COVID-19 Immune Atlas project has been funded by the Knut and Alice Wallenberg Foundation and a donation from Nordstjernan AB.

    Cohort
    Cells
    Flow panels
    Soluble factors

    The cohort

    The Karolinska KI/K Covid-19 Immune Atlas contains peripheral blood-derived cell and soluble factor data from hospitalized Covid-19 patients grouped into different stages of disease severity. Samples were collected once a week upon three consecutive weeks in April and May 2020 at the Karolinska University Hospital Infectious Diseases and Intensive Care Unit Clinics, and were directly processed and analyzed at the Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden. Data are presented in an aggregated form.

    Patient characteristics

    The Covid-19 patients analyzed were stratified in two groups according to set inclusion and exclusions criteria. All included patients (ages 18 to 78 years old) were SARS-CoV-2 RNA positive and sampled 5 to 24 days after symptom debut and 1–8 days after hospital admission. Moderately sick patients had a saturation of 90–94% or were receiving 0.5–3 L/min of oxygen. Severely sick patients were treated in an intensive care unit or a high dependency unit. Patient with current malignancy immunomodulatory treatment prior to hospitalization were excluded. Detailed clinical characteristics are presented in the table below. Non Covid-19 controls were age and sex matched, SARS-CoV-2 IgG seronegative at time of inclusion.

    • Clinical characteristics
    • Clinical laboratory results
    Clinical characteristics of COVID-19 patients in immune atlasModerateSevere
    Group sizen1017
    Risk factorsAge, median (range)56.5 (18 - 76)58 (40 - 78)
    Sex, n (female/male)3/73/14
    BMI, median (range)27.63 (23 - 35,06)29 (23 - 55)
    Smoking – Current, n (%)1 (10)2 (12)
    - Prior, n (%)2 (20)5 (29)
    - Non-smoker, n (%)2 (20)9 (53)
    - Unknown, n (%)5 (50)1 (6)
    Preexisting conditions, n (%)None4 (40)5 (29)
    Diabetes mellitus3 (30)5 (29)
    Hypertension2 (20)6 (35)
    Coronary heart disease-2 (12)
    Asthma1 (10)2 (12)
    OtherOSAS, ischemic heart disease, lymphomaChronic hepatitis B, OSAS, renal failure
    Viremia at sampling, n (%) 4 (40)8 (47)
    Symptoms on admissionFever, n (%)10 (100)17 (100)
    Cough, n (%)9 (90)14 (82)
    Dyspnea, n (%)10 (100)17 (100)
    Body ache, n (%)3 (30)9 (53)
    Gastrointestinal, n (%) 1 (10)3 (18)
    Days from symptom onset to admission, median (range)8.5 (4 - 14)9 (3 - 14)
    Days from symptom onset to sampling, median (range)13.5 (6 - 19)14 (5 - 24)
    Peak supportive oxygen therapyNone, n (%)2 (20)0 (0)
    Low flow <10L/min, n (%)6 (60)0 (0)
    Low flow 10-15 L/min, n (%)1 (10)3 (18)
    High Flow, n (%)1 (10)1 (6)
    Venitlator, n (%)0 (0)12 (71)
    ECMO, n (%)0 (0)1 (6)
    PF ratio, median mmHg (range)357 (312 - 523)137 (52 - 285)
    Supportive oxygen therapy, median in days (range)2 (0 - 51), 1 ongoing after discharge21 (8 - 45), 1 ongoing at hospital
    Treatment prior to sampling, n (%)Anticogulant treatment10 (100)15/17 (14 LWMH, 1 oral anticoagulation, 1 unknown)
    Corticosteroids2 (20)12 (71)
    Antibiotics3 (30)12 (71)
    Antivirals / Cytokine inhibitors0 (0)3 (18): Remdesivir, Anakinra, Tocilizumab
    Clinical courseDays on ICU, median (range)0 (0)14 (0 - 45), 1 ongoing
    Days intubated, median (range)0 (0)11 (0 - 45), 1 ongoing
    Days hospitalised, median (range)8 (5 - 39)21 (10 - 57), 1 ongoing
    Radiological bilateral infiltrations, n (%)6 (60), 4 N/A15 (88), 2 N/A
    Positive bloodcultures, n (%)0 (0)4 (24)
    Positive culture from tracheal aspirate, n (%)0 (0)7 (41)
    Embolism/thrombosis, n (%)0 (0)4 (24): 2x Pulmonary embolism, 1 deep vein thrombosis and 1 arterial thrombosis
    SOFA score at sampling, median (range)1 (0 - 2)6 (2 - 12)
    Outcome, n (%)Discharged10 (100)12 (71), 1 still hospitalised
    Death0 (0)4 (24)
    Before study samplingNormal distributionModeratemedian peak (range)Severe/Criticalmedian peak (range)p-value
    C-reactive protein, mg/L<3148 (34 - 346)296 (101 - 452)0.015
    Procalcitonin, μg/L<0.50.28 (0.11 - 66)0.90 (0.19 - 10)0.10
    D-dimer, mg/L<0.560.72 (0.28 - 1.5)2.3 (0.58 - 5.4)<0.001
    Ferritin, μg/L10-150856 (219 - 3570)1793 (183 - 5500)0.074
    Fibrinogen, g/L2-4.2N/A7.05 (4.1 - 10.2)
    Lactate dehydrogenase, μkat/L<3.5 5.6 (3.8 - 13.7)10.6 (0.89 - 23)0.003
    Alanine aminotransferase, μkat/L<0.760.67 (0.51 - 3.43)1.24 (0.51 - 13.8)0.16
    Bilirubin, μmol/L<268 (4 - 11)12 (7 - 81)0.002
    Creatinine, μmol/L<9075 (49 - 168)90 (46 - 326)0.20
    Prothrombin complex, INR<1.21.0 (0.9 - 1.1)1.1 (0.9 - 2.1)0.005
    Troponin T, ng/L<1511 (5 - 218)19 (8 - 601)0.037
    Myogloblin, μg/L<7323 (22 - 37)369 (36 - 6400)0.001
    Platelet count, highest, x109/L165-387 296 (152 - 642)398 (149 - 770)0.31
    Platelet count, lowest, x109/L165-387232 (131 - 342)196 (110 - 330)0.86
    Lymphocytes, lowest, x109/L1.1-3.50.8 (0.3 - 1.9)0.6 (0.2 - 1.5)0.040
    Neutrophils, lowest, x109/L1.6-5.94.0 (0.5 - 6.8)4.4 (1.7 - 15.9)0.13
    At study sampling (+/-24h)Normal distributionModeratemedian peak (range)Severe/Criticalmedian peak (range)p-value
    C-reactive protein, mg/L<3104 (20 - 394)203 (37 - 346)0.11
    Procalcitonin, μg/L<0.50.39 (0.12 - 866)0.52 (0.16 - 10)0.59
    Leukocytes, highes, x 109/L3.5-8.8 7.7 (1.5 - 12.6)12.5 (4 - 18.4)0.005
    Leukocytes, lowest, x 109/L3.5-8.86.2 (1 - 10.5)9.2 (2.3 - 15.7)0.013
    Neutrophils, highest, x 109/L1.6-5.9L5.4 (0.9 - 9.3)10.9 (3.2 - 16.7)0.001
    D-dimer, mg/L<0.560.71 (0.36 - 1.3)2.3 (0.44 - 7.6)0.001
    Ferritin, μg/L10-150738 (161 - 1971)1832 (183 - 4306)0.053
    Fibrinogen, g/L2-4.2N/A6.4 (3.5 - 10.2)
    Bilirubin, μmol/L<266 (4 - 11)9 (6 - 81)0.049
    Creatinine, μmol/L<9068 (43 - 168)73 (36 - 326)0.47
    Prothrombin complex, INR<1.21.0 (1 - 1.1)1.1 (0.9 - 1.4)0.32
    Troponin T, ng/L<156 (5 - 43)18 (6 - 434)0.018
    Haemoglobin, lowest, g/L117-153124 (90 - 145)113 (73 - 146)0.19
    Lymphocytes, lowest, x 109/L1.1-3.51.2 (0.3 - 2.4)0.8 (0.3 - 2.3)0.023
    Albumin, lowest, g/L36-4828 (21 - 37)19 (16 - 29)0.003
    Platelet count, lowest, x 109/L165-387324 (131 - 642)361 (146 - 579)0.49
    At study sampling (+/-5d)Normal distributionModeratemedian peak (range)Severe/Criticalmedian peak (range)p-value
    Interleukin-6, ng/L<758 (2 - 151)198 (29 - 8093)0.041
    Interleukin-1β, ng/L<5N/A9.6 (5.4 - 16.8)
    Interleukin-10, ng/L<5N/A24 (5.6 - 58)
    Tumor necrosis factor-α, ng/L<12N/A15 (8 - 48)

    Cells

    Cell data include studies of innate lymphoid cells (ILCs), natural killer (NK) cells, conventional T cells, unconventional T cells (MAIT cells, γδ T cells, DNT cells), B cells, granulocytes, monocytes, and DCs as well as soluble factors. Analysis provided include data from up to 29 color flow cytometry panels. Soluble factor data include serum analysis by high-quality multiplex immunoassay panels. Data are presented in an aggregated manner, and allow for analysis and comparison visualized by different means such as box plots, volcano plots, radar charts, and with applicable statistical measure terms.

    Panels

    Many factors have been considered when designing the used panels for flow cytometry including biomarker selection, instrument configuration, flourochrome brightness, spectral overlap, antigen density, antigen co-expression, and reagent availability. Up to 29 different parameters have been analyzed pending on cell-type analyzed and specific information desired. Panels used for the analysis are shown per cell-track.

    • NK cells
    • T cells
    • Unconventional T cells
    • B cells
    • Granulocytes
    • ILCs
    • DCs and monocytes
    LaserFilterAntigen and fluorochrome
    355379/28 HLA-DR BUV395
    515/30 CD16 BUV496
    580/20 CD56 BUV563
    605/20 NKG2D BUV615
    670/25 CD38 BUV661
    735/50 CD69 BUV737
    810/40 CD45 BUV805
    405450/50 MIP1β BV421
    525/50 CD14 V500, CD19 V500, CD123 BV510, DCM Aqua
    586/15 empty
    605/40 KLRG1 BV605
    677/20 TIGIT BV650
    710/50 KIR3DL1
    750/30 IFNγ BV750
    810/40 CD25 BV786
    488530/30 CD98 BB515
    610/20 NKG2C BB630
    670/30 CXCR6 BB660
    710/50 Tim-3 BB700
    750/30 Perforin BB755
    810/40 Granzyme B BB790
    561586/15 Ksp37 PE
    610/20 CD62L ECD
    670/30 CD3 PE-Cy5
    710/50 KIR2DL2/S2/L3 PE-Cy5.5
    780/60 NKG2A PE-Vio770
    637670/30 KIR2DL1 APC
    730/45 Ki67 AF700
    780/60 CD57 APC-Vio770
    LaserFilterAntigen and fluorochrome
    355379/28 CD8 BUV395
    515/30 CD38 BUV496
    580/20 CD28 BUV563
    605/20 HLA-DR BUV615
    670/25 Lag-3 BUV661
    735/50 TIGIT BUV737
    810/40 CD3 BUV805
    405450/50 A02:01 GL9 EBV or NV9 CMV BV421
    525/50 CD14 BV510, CD19 BV510, DCM Aqua
    586/15 CD45RA BV570
    605/40 CD127 BV605
    677/20 Tim-3 BV650
    710/50 CD39 BV711
    750/30 CD69 BV750
    810/40 CD27 BV786
    488530/30 TCF1 A488
    610/20 CD95 BB630
    670/30 Ki-67 BB660
    710/50 Perforin BB700
    750/30 CTLA-4 BB755
    810/40 Granzyme BB790
    561586/15 A02:01 RK9 or LL9 SARS-CoV-2 Dextramer PE
    610/20 2B4 PE/Dazzle™594
    670/30 CD25 PE-Cy5
    710/50 CD4 PE-Cy5.5
    780/60 PD-1 PE-Cy7
    637670/30 TOX Alexa647
    730/45 CXCR5 APC-R700
    780/60 CCR7 APC-H7
    LaserFilterAntigen and fluorochrome
    355379/28 CD69 BUV395
    515/30 CD38 BUV496
    580/20 empty
    605/20 empty
    670/25 empty
    735/50 CD56 BUV737
    810/40 CD3 BUV805
    405450/50 PD1 BV421
    525/50 CD14 V500, CD19 V500
    586/15 CD8 BV570
    605/40 IL7R BV605
    677/20 CXCR3 BV650
    710/50 CD4 BV711
    750/30 Va24 BV750
    810/40 HLA-DR BV785
    488530/30 Ki67 AF488
    610/20 empty
    670/30 empty
    710/50 Granzyme A PerCP-Cy55
    750/30 empty
    810/40 empty
    561586/15 MR1-5-OP-RU tetramer
    610/20 TCRgd PEDazzle 594
    670/30 CD161 PeCy5
    710/50 empty
    780/60 Va7.2 PE-Cy7
    637670/30 CXCR6 AF647
    730/45 Granzyme B AF700
    780/60 DCM IR
    LaserFilterAntigen and fluorochrome
    355379/35 CD19 BUV395
    740/35 PD1 BUV737
    405450/50 CD38 BV421
    525/50 CD14, CD123 V500, Aqua DCM
    585/42 empty
    610/20 CD4 Qdot 605
    670/30 CD27 BV650
    710/50 CXCR5 BV711
    780/60 IgM BV785
    488530/30 CD20 FITC
    561586/15 IgG PE
    610/20 CXCR3 PE-Dazzle 594
    661/20 CD3 PE-Cy5
    710/50 empty
    780/60 IgD PE-Cy7
    639670/30 IgA APC
    730/45 Ki67 A700
    780/60 ICOS APC-Cy7
    LaserFilterAntigen and fluorochrome
    355379/28 CD193 BUV395
    515/30 CD24 BUV496
    580/20 PD-L1 BUV563
    605/20 CD147 BUV615
    670/25 CD62L BUV661
    735/50 CD86 BUV737
    810/40 CD16 BUV805
    405450/50 LOX-1 BV421
    525/50 CD3 BV510, CD14 BV510, CD19 BV510, CD56 BV510, CD304 BV510
    586/15 DCM yellow
    605/40 FceR1 BV605
    677/20 CD11a BV650
    710/50 CD88 BV711
    750/30 CD15 BV750
    810/40 CD63 BV786
    488530/30 CD66b BB515
    610/20 empty
    670/30 empty
    710/50 CD69 BB700
    750/30 empty
    810/40 empty
    561586/15 CD126 PE
    610/20 CD11b PE-CF594
    670/30 CXCR1 PE-Cy5
    710/50 CXCR4 PE-Cy5.5
    780/60 CD123 PE-Cy7
    637670/30 CD177 A647
    730/45 HLA-DR APC-R700
    780/60 CXCR2 APC-Fire 750
    LaserFilterAntigen and fluorochrome
    355379/35 CD45 BUV395
    740/35 CCR6 BUV737
    405450/50 CXCR3 BV421
    525/50 CCR4 BV510
    585/42 CD3 BV570
    610/20 CD161 BV605
    670/30 CD69 BV650
    710/50 CD56 BV711
    780/60 CD45RA BV785
    488530/30 CD1a FITC, CD14 FITC, CD19 FITC, CD34 FITC, CD123 FITC, BDCA2 FITC, FcER1 FITC, TCRab FITC, TCRgd FITC, DCM green
    561586/15 HLA-DR PE
    610/20 CRTH2 PECF594
    661/20 NKp44 PE-Cy5
    710/50 CD117 PE-Cy5.5
    780/60 CD127 PE-Cy7
    639670/30 NKG2A APC
    730/45 Ki67 A700
    780/60 CD62L APC-Cy7
    LaserFilterAntigen and fluorochrome
    355379/28 CD123 BUV395
    515/30 AXL BUV496
    580/20 CD147 BUV563
    605/20 CCR2 BUV615
    670/25 CD38 BUV661
    735/50 CD16 BUV737
    810/40 CD86 BUV805
    405450/50 CD200R BV421
    525/50 CD15 BV510, DCM aqua
    586/15 CD44 BV570
    605/40 FceR1 BV605
    677/20 CD163 BV650
    710/50 CD141 BV711
    750/30 CD7/34/19/3 BV750
    810/40 HLA-DR BV785
    488530/30 CD206 BB515
    610/20 empty
    670/30 empty
    710/50 CD1c BB700
    750/30 empty
    810/40 empty
    561586/15 CD116 PE
    610/20 CD126 PE/Dazzle™594
    670/30 CD5 PE-Cy5
    710/50 c-KIT PE-Cy5.5
    780/60 CD88 PE-Cy7
    637670/30 CLEC9A Alexa647
    730/45 CD45RA AF700
    780/60 CD14 APC-Cy7

    Soluble factors

    Soluble factors studied include 272 serum and/or plasma proteins analyzed using several high-quality multiplex immunoassay technologies.

    ProteinFull nameUniprot ID
    4E-BP1Eukaryotic translation initiation factor 4E-binding protein 1Q13541
    ADAAdenosine deaminaseP00813
    ADGRG1Adhesion G-protein coupled receptor G1Q9Y653
    AGR2Anterior gradient protein 2 homologO95994
    AIFM1Apoptosis-inducing factor 1, mitochondrialO95831
    ALDH3A1Aldehyde dehydrogenase, dimeric NADP-preferringP30838
    AMNProtein amnionlessQ9BXJ7
    AREGAmphiregulinP15514
    ARNTAryl hydrocarbon receptor nuclear translocatorP27540
    ARTNArteminQ5T4W7
    ATP6AP2Renin receptorO75787
    AXIN1Axin-1O15169
    BACH1Transcription regulator protein BACH1O14867
    BAMBIBMP and activin membrane-bound inhibitor homologQ13145
    BANK1B-cell scaffold protein with ankyrin repeatsQ8NDB2
    Beta-NGFBeta-nerve growth factorP01138
    BIDBH3-interacting domain death agonistP55957
    BIRC2Baculoviral IAP repeat-containing protein 2Q13490
    BTCProbetacellulinP35070
    BTN3A2Butyrophilin subfamily 3 member A2P78410
    CA12Carbonic anhydrase 12O43570
    CA14Carbonic anhydrase 14Q9ULX7
    CALCACalcitoninP01258
    CALRCalreticulinP27797
    CAPGMacrophage-capping proteinP40121
    CASP-8Caspase-8Q14790
    CCL11EotaxinP51671
    CCL19C-C motif chemokine 19Q99731
    CCL20C-C motif chemokine 20P78556
    CCL23C-C motif chemokine 23P55773
    CCL25C-C motif chemokine 25O15444
    CCL28C-C motif chemokine 28Q9NRJ3
    CCL3C-C motif chemokine 3P10147
    CCL4C-C motif chemokine 4P13236
    CD244Natural killer cell receptor 2B4Q9BZW8
    CD28T-cell-specific surface glycoprotein CD28P10747
    CD40Tumor necrosis factor receptor superfamily member 5P25942
    CD5T-cell surface glycoprotein CD5P06127
    CD6T-cell differentiation antigen CD6P30203
    CD83CD83 antigenQ01151
    CD8AT-cell surface glycoprotein CD8 alpha chainP01732
    CDCP1CUB domain-containing protein 1Q9H5V8
    CDSNCorneodesmosinQ15517
    CES2Cocaine esteraseO00748
    CKAP4Cytoskeleton-associated protein 4Q07065
    CLEC1AC-type lectin domain family 1 member AQ8NC01
    CLEC4AC-type lectin domain family 4 member AQ9UMR7
    CLEC4CC-type lectin domain family 4 member CQ8WTT0
    CLEC4DC-type lectin domain family 4 member DQ8WXI8
    CLEC4GC-type lectin domain family 4 member GQ6UXB4
    CLEC6AC-type lectin domain family 6 member AQ6EIG7
    CLEC7AC-type lectin domain family 7 member AQ9BXN2
    CLSPNClaspinQ9HAW4
    CNTN2Contactin-2Q02246
    CNTNAP2Contactin-associated protein-like 2Q9UHC6
    CRHCorticoliberinP06850
    CSF-1Macrophage colony-stimulating factor 1P09603
    CSNK1DCasein kinase I isoform deltaP48730
    CST5Cystatin-DP28325
    CX3CL1FractalkineP78423
    CXADRCoxsackievirus and adenovirus receptorP78310
    CXCL1Growth-regulated alpha proteinP09341
    CXCL10C-X-C motif chemokine 10P02778
    CXCL11C-X-C motif chemokine 11O14625
    CXCL12Stromal cell-derived factor 1P48061
    CXCL5C-X-C motif chemokine 5P42830
    CXCL6C-X-C motif chemokine 6P80162
    CXCL9C-X-C motif chemokine 9Q07325
    DAPP1Dual adapter for phosphotyrosine and 3-phosphotyrosine and 3-phosphoinositideQ9UN19
    DCBLD2Discoidin, CUB and LCCL domain-containing protein 2Q96PD2
    DCTN1Dynactin subunit 1Q14203
    DDX58Antiviral innate immune response receptor RIG-IO95786
    DFFADNA fragmentation factor subunit alphaO00273
    DGKZDiacylglycerol kinase zetaQ13574
    DNERDelta and Notch-like epidermal growth factor-related receptorQ8NFT8
    DPP10Inactive dipeptidyl peptidase 10Q8N608
    DPP6Dipeptidyl aminopeptidase-like protein 6P42658
    DSG4Desmoglein-4Q86SJ6
    EDARTumor necrosis factor receptor superfamily member EDARQ9UNE0
    EDIL3EGF-like repeat and discoidin I-like domain-containing protein 3O43854
    EGFL7Epidermal growth factor-like protein 7Q9UHF1
    EGLN1Egl nine homolog 1Q9GZT9
    EIF4G1Eukaryotic translation initiation factor 4 gamma 1Q04637
    EIF5AEukaryotic translation initiation factor 5A-1P63241
    EN-RAGEProtein S100-A12P80511
    ENAHProtein enabled homologQ8N8S7
    ENTPD2Ectonucleoside triphosphate diphosphohydrolase 2Q9Y5L3
    ENTPD6Ectonucleoside triphosphate diphosphohydrolase 6O75354
    EPOErythropoietinP01588
    ERBB2IPErbinQ96RT1
    FABP9Fatty acid-binding protein 9Q0Z7S8
    FAM3BProtein FAM3BP58499
    FCRL3Fc receptor-like protein 3Q96P31
    FCRL6Fc receptor-like protein 6Q6DN72
    FESTyrosine-protein kinase Fes/FpsP07332
    FGF-19Fibroblast growth factor 19O95750
    FGF-21Fibroblast growth factor 21Q9NSA1
    FGF-23Fibroblast growth factor 23Q9GZV9
    FGF-5Fibroblast growth factor 5P12034
    FGF2Fibroblast growth factor 2P09038
    FGRTyrosine-protein kinase FgrP09769
    FKBP1BPeptidyl-prolyl cis-trans isomerase FKBP1BP68106
    Flt3LFms-related tyrosine kinase 3 ligandP49771
    FOSBProtein fosBP53539
    FOXO1Forkhead box protein O1Q12778
    FXYD5FXYD domain-containing ion transport regulator 5Q96DB9
    GALNT10Polypeptide N-acetylgalactosaminyltransferase 10Q86SR1
    GALNT3Polypeptide N-acetylgalactosaminyltransferase 3Q14435
    GDNFGlial cell line-derived neurotrophic factorP39905
    GLB1Beta-galactosidaseP16278
    HCLS1Hematopoietic lineage cell-specific proteinP14317
    HEXIM1Protein HEXIM1O94992
    HGFHepatocyte growth factorP14210
    HNMTHistamine N-methyltransferaseP50135
    HPGDSHematopoietic prostaglandin D synthaseO60760
    HSD11B1Corticosteroid 11-beta-dehydrogenase isozyme 1P28845
    ICA1Islet cell autoantigen 1Q05084
    IFN-gammaInterferon gammaP01579
    IFNLR1Interferon lambda receptor 1Q8IU57
    IL-1 alphaInterleukin-1 alphaP01583
    IL-10RAInterleukin-10 receptor subunit alphaQ13651
    IL-10RBInterleukin-10 receptor subunit betaQ08334
    IL-12BInterleukin-12 subunit betaP29460
    IL-15RAInterleukin-15 receptor subunit alphaQ13261
    IL-17AInterleukin-17AQ16552
    IL-17CInterleukin-17CQ9P0M4
    IL-18R1Interleukin-18 receptor 1Q13478
    IL-20Interleukin-20Q9NYY1
    IL-20RAInterleukin-20 receptor subunit alphaQ9UHF4
    IL-22 RA1Interleukin-22 receptor subunit alpha-1Q8N6P7
    IL-24Interleukin-24Q13007
    IL-2RBInterleukin-2 receptor subunit betaP14784
    IL10Interleukin-10P22301
    IL12RB1Interleukin-12 receptor subunit beta-1P42701
    IL13Interleukin-13P35225
    IL18Interleukin-18Q14116
    IL2Interleukin-2P60568
    IL33Interleukin-33O95760
    IL4Interleukin-4P05112
    IL5Interleukin-5P05113
    IL6Interleukin-6P05231
    IL7Interleukin-7P13232
    IL8Interleukin-8P10145
    INPPL1Phosphatidylinositol 3,4,5-trisphosphate 5-phosphatase 2O15357
    IRAK1Interleukin-1 receptor-associated kinase 1P51617
    IRAK4Interleukin-1 receptor-associated kinase 4Q9NWZ3
    IRF9Interferon regulatory factor 9Q00978
    ITGA11Integrin alpha-11Q9UKX5
    ITGA6Integrin alpha-6P23229
    ITGB1BP1Integrin beta-1-binding protein 1O14713
    ITGB6Integrin beta-6P18564
    ITM2AIntegral membrane protein 2AO43736
    JUNTranscription factor AP-1P05412
    KIM1Hepatitis A virus cellular receptor 1Q96D42
    KIR3DL1Killer cell immunoglobulin-like receptor 3DL1P43629
    KLRD1Natural killer cells antigen CD94Q13241
    KPNA1Importin subunit alpha-5P52294
    KRT19Keratin, type I cytoskeletal 19P08727
    LAG3Lymphocyte activation gene 3 proteinP18627
    LAMP3Lysosome-associated membrane glycoprotein 3Q9UQV4
    LAP TGF-beta-1Transforming growth factor beta-1 proproteinP01137
    LAT2Linker for activation of T-cells family member 2Q9GZY6
    LHBLutropin subunit betaP01229
    LIFLeukemia inhibitory factorP15018
    LIF-RLeukemia inhibitory factor receptorP42702
    LILRB4Leukocyte immunoglobulin-like receptor subfamily B member 4Q8NHJ6
    LRP1Prolow-density lipoprotein receptor-related protein 1Q07954
    LTA4HLeukotriene A-4 hydrolaseP09960
    LY75Lymphocyte antigen 75O60449
    MAEAE3 ubiquitin-protein transferase MAEAQ7L5Y9
    MAGED1Melanoma-associated antigen D1Q9Y5V3
    MAP4K5Mitogen-activated protein kinase kinase kinase kinase 5Q9Y4K4
    MASP1Mannan-binding lectin serine protease 1P48740
    MAXProtein maxP61244
    MCP-1C-C motif chemokine 2P13500
    MCP-2C-C motif chemokine 8P80075
    MCP-3C-C motif chemokine 7P80098
    MCP-4C-C motif chemokine 13Q99616
    METAP1Methionine aminopeptidase 1P53582
    MGMTMethylated-DNA--protein-cysteine methyltransferaseP16455
    MILR1Allergin-1Q7Z6M3
    MMP-1Interstitial collagenaseP03956
    MMP-10Stromelysin-2P09238
    MVKMevalonate kinaseQ03426
    NBNNibrinO60934
    NCF2Neutrophil cytosol factor 2P19878
    NCR1Natural cytotoxicity triggering receptor 1O76036
    NF2MerlinP35240
    NFATC3Nuclear factor of activated T-cells, cytoplasmic 3Q12968
    NOS3Nitric oxide synthase, endothelialP29474
    NPPCC-type natriuretic peptideP23582
    NRTNNeurturinQ99748
    NT-3Neurotrophin-3P20783
    NTF4Neurotrophin-4P34130
    NUB1NEDD8 ultimate buster 1Q9Y5A7
    NUCB2Nucleobindin-2P80303
    OPGTumor necrosis factor receptor superfamily member 11BO00300
    OSMOncostatin-MP13725
    PADI2Protein-arginine deiminase type-2Q9Y2J8
    PD-L1Programmed cell death 1 ligand 1Q9NZQ7
    PDCD1Programmed cell death protein 1Q15116
    PDGFCPlatelet-derived growth factor CQ9NRA1
    PDP1[Pyruvate dehydrogenase [acetyl-transferring]]-phosphatase 1, mitochondrialQ9P0J1
    PGFPlacenta growth factorP49763
    PIK3AP1Phosphoinositide 3-kinase adapter protein 1Q6ZUJ8
    PLIN1Perilipin-1O60240
    PLXDC1Plexin domain-containing protein 1Q8IUK5
    PLXNA4Plexin-A4Q9HCM2
    PON2Serum paraoxonase/arylesterase 2Q15165
    PPM1BProtein phosphatase 1BO75688
    PPP1R9BNeurabin-2Q96SB3
    PRDX1Peroxiredoxin-1Q06830
    PRDX3Thioredoxin-dependent peroxide reductase, mitochondrialP30048
    PRDX5Peroxiredoxin-5, mitochondrialP30044
    PRKAB15'-AMP-activated protein kinase subunit beta-1Q9Y478
    PRKCQProtein kinase C theta typeQ04759
    PRKRAInterferon-inducible double-stranded RNA-dependent protein kinase activator AO75569
    PSIP1PC4 and SFRS1-interacting proteinO75475
    PSMA1Proteasome subunit alpha type-1P25786
    PTH1RParathyroid hormone/parathyroid hormone-related peptide receptorQ03431
    PTK7Inactive tyrosine-protein kinase 7Q13308
    PTNPleiotrophinP21246
    PTPRJReceptor-type tyrosine-protein phosphatase etaQ12913
    PVALBParvalbumin alphaP20472
    PXNPaxillinP49023
    RARRES1Retinoic acid receptor responder protein 1P49788
    RASA1Ras GTPase-activating protein 1P20936
    RASSF2Ras association domain-containing protein 2P50749
    RCOR1REST corepressor 1Q9UKL0
    RRM2BRibonucleoside-diphosphate reductase subunit M2 BQ7LG56
    SCFKit ligandP21583
    SERPINA9Serpin A9Q86WD7
    SH2B3SH2B adapter protein 3Q9UQQ2
    SH2D1ASH2 domain-containing protein 1AO60880
    SIRT2NAD-dependent protein deacetylase sirtuin-2Q8IXJ6
    SIRT5NAD-dependent protein deacylase sirtuin-5, mitochondrialQ9NXA8
    SIT1Signaling threshold-regulating transmembrane adapter 1Q9Y3P8
    SLAMF1Signaling lymphocytic activation moleculeQ13291
    SMAD1Mothers against decapentaplegic homolog 1Q15797
    SPRY2Protein sprouty homolog 2O43597
    SRPK2SRSF protein kinase 2P78362
    ST1A1Sulfotransferase 1A1P50225
    ST3GAL1CMP-N-acetylneuraminate-beta-galactosamide-alpha-2,3-sialyltransferase 1Q11201
    STAMBPSTAM-binding proteinO95630
    STC1Stanniocalcin-1P52823
    STX8Syntaxin-8Q9UNK0
    STXBP3Syntaxin-binding protein 3O00186
    TANKTRAF family member-associated NF-kappa-B activatorQ92844
    TGF-alphaProtransforming growth factor alphaP01135
    TIGARFructose-2,6-bisphosphatase TIGARQ9NQ88
    TMPRSS15EnteropeptidaseP98073
    TNFTumor necrosis factorP01375
    TNFBLymphotoxin-alphaP01374
    TNFRSF9Tumor necrosis factor receptor superfamily member 9Q07011
    TNFSF14Tumor necrosis factor ligand superfamily member 14O43557
    TNNI3Troponin I, cardiac muscleP19429
    TOP2BDNA topoisomerase 2-betaQ02880
    TPSAB1Tryptase alpha/beta-1Q15661
    TRAF2TNF receptor-associated factor 2Q12933
    TRAILTumor necrosis factor ligand superfamily member 10P50591
    TRANCETumor necrosis factor ligand superfamily member 11O14788
    TREM1Triggering receptor expressed on myeloid cells 1Q9NP99
    TRIM21E3 ubiquitin-protein ligase TRIM21P19474
    TRIM5Tripartite motif-containing protein 5Q9C035
    TSLPThymic stromal lymphopoietinQ969D9
    TWEAKTumor necrosis factor ligand superfamily member 12O43508
    uPAUrokinase-type plasminogen activatorP00749
    VASH1Tubulinyl-Tyr carboxypeptidase 1Q7L8A9
    VEGFAVascular endothelial growth factor AP15692
    WASWiskott-Aldrich syndrome proteinP42768
    YES1Tyrosine-protein kinase YesP07947
    ZBTB16Zinc finger and BTB domain-containing protein 16Q05516

    People

    Below we list individuals involved in the Karolinska KI/K COVID-19 Immune Atlas Project including scientists, physicians, physician scientists, and support personnel.

    NameAffiliation
    John Tyler SandbergCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Helena BergstenCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Niklas K BjörkströmCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Susanna BrighentiCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Marcus BuggertCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Marta ButrymCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Benedict ChambersCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Puran ChenCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Martin CornilletCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Angelica Cuapio GomezCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Isabel Diaz LozanoCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Majda DzidicCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Johanna EmgårdCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Malin Flodström-TullbergCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Jean-Baptiste GorinCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Sara Gredmark-RussCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Alvaro Haroun-IzquierdoCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Laura HertwigCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Sadaf KalsumCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Jonas KlingströmCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Efthymia KokkinouCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Egle KvedaraiteCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Hans-Gustaf LjunggrenCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Nicole MarquardtCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Magdalini LourdaCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Kimia T MalekiCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Karl-Johan MalmbergCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Jakob MichaëlssonCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Jenny MjösbergCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Kirsten MollCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Jagadeeswara Rao MuvvaCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Anna Norrby-TeglundCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Laura M Palma MedinaCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Tiphaine ParrotCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Lena RadlerCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Emma RingqvistCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Johan K SandbergCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Takuya SekineCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Tea SoiniCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Mattias SvenssonCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Janne TynellCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Andreas von KriesCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    David WullimannCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    André Perez-PottiCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Olga Rivera-BallesterosCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Christopher MaucourantCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Renata VarnaiteCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Mira AkberCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Lena BerglinCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Demi BrownlieCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Marco Giulio LoretiCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Ebba SohlbergCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Tobias KammannCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Elisabeth HenrikssonCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
    Kristoffer StrålinDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Soo AlemanDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Anders SönnerborgDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Lena DillnerDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Anna FärnertDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Hedvig GlansDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Pontus NauclérDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
    Olav RooyackersDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
    Johan MårtenssonDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
    Lars I ErikssonDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
    Björn P PerssonDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
    Jonathan GripDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
    Christian UngeDepartment of Emergency Medicine, Karolinska University Hospital, Stockholm, Sweden

    Papers

    Below we list all papers published, or by other means made public, containing the original data for the Karolinska KI/K COVID-19 Immune Atlas.

    Published

    PNAS. 5 Oct 2021

    High-dimensional profiling reveals phenotypic heterogeneity and disease-specific alterations of granulocytes in COVID-19

    Magda Lourda, Majda Dzidic, Laura Hertwig, Helena Bergsten, Laura M. Palma Medina, Indranil Sinha, Egle Kvedaraite, Puran Chen, Jagadeeswara R. Muvva, Jean-Baptiste Gorin, Martin Cornillet, Johanna Emgård, Kirsten Moll, Marina García, Kimia T. Maleki, Jonas Klingström, Jakob Michaëlsson, Malin Flodström-Tullberg, Susanna Brighenti, Marcus Buggert, Jenny Mjösberg, Karl-Johan Malmberg, Johan K. Sandberg, Jan-Inge Henter, Elin Folkesson, Sara Gredmark-Russ, Anders Sönnerborg, Lars I. Eriksson, Olav Rooyackers, Soo Aleman, Kristoffer Strålin, Hans-Gustaf Ljunggren, Niklas K. Björkström, Mattias Svensson, Andrea Ponzetta, Anna Norrby-Teglund, Benedict J. Chambers, and Karolinska KI/K COVID-19 Study Group

    Clinical & Translational Immunology. 5 Jul 2021

    SARS-CoV-2-specific humoral and cellular immunity persists through 9 months irrespective of COVID-19 severity at hospitalisation

    John Tyler Sandberg, Renata Varnaitė, Wanda Christ, Puran Chen, Jagadeeswara R Muvva, Kimia T Maleki, Marina García, Majda Dzidic, Elin Folkesson, Magdalena Skagerberg, Gustaf Ahlén, Lars Frelin, Matti Sällberg, Lars I Eriksson, Olav Rooyackers, Anders Sönnerborg, Marcus Buggert, Niklas K Björkström, Soo Aleman, Kristoffer Strålin, Jonas Klingström, Hans-Gustaf Ljunggren, Kim Blom, Sara Gredmark-Russ, The Karolinska COVID-19 Study Group

    PNAS. 9 Feb 2021

    Major alterations in the mononuclear phagocyte landscape associated with COVID-19 severity

    Egle Kvedaraite, Laura Hertwig, Indranil Sinha, Andrea Ponzetta, Ida Hed Myrberg, Magda Lourda, Majda Dzidic, Mira Akber, Jonas Klingström, Elin Folkesson, Jagadeeswara Rao Muvva, Puran Chen, Sara Gredmark-Russ, Susanna Brighenti, Anna Norrby-Teglund, Lars I. Eriksson, Olav Rooyackers, Soo Aleman, Kristoffer Strålin, Hans-Gustaf Ljunggren, Florent Ginhoux, Niklas K. Björkström, Jan-Inge Henter, Mattias Svensson, and Karolinska KI/K COVID-19 Study Group

    Clinical & Translational Immunology. 14 Dec 2020

    Innate lymphoid cell composition associates with COVID‐19 disease severity

    Marina García, Efthymia Kokkinou, Anna Carrasco García, Tiphaine Parrot, Laura M Palma Medina, Kimia T Maleki, Wanda Christ, Renata Varnaitė, Iva Filipovic, Hans‐Gustaf Ljunggren, Niklas K Björkström, Elin Folkesson, Olav Rooyackers, Lars I Eriksson, Anders Sönnerborg, Soo Aleman, Kristoffer Strålin, Sara Gredmark‐Russ, Jonas Klingström, Jenny Mjösberg, and the Karolinska KI/K COVID‐19 Study Group

    Science Immunology. 28 Sep 2020

    MAIT cell activation and dynamics associated with COVID-19 disease severity

    Tiphaine Parrot, Jean-Baptiste Gorin, Andrea Ponzetta, Kimia T Maleki, Tobias Kammann, Johanna Emgård, André Perez-Potti, Takuya Sekine, Olga Rivera-Ballesteros, Karolinska COVID-19 Study Group, Sara Gredmark-Russ, Olav Rooyackers, Elin Folkesson, Lars I Eriksson, Anna Norrby-Teglund, Hans-Gustaf Ljunggren, Niklas K Björkström, Soo Aleman, Marcus Buggert, Jonas Klingström, Kristoffer Strålin, Johan K Sandberg

    Science Immunology. 21 Aug 2020

    Natural killer cell immunotypes related to COVID-19 disease severity

    Christopher Maucourant, Iva Filipovic, Andrea Ponzetta, Soo Aleman, Martin Cornillet, Laura Hertwig, Benedikt Strunz, Antonio Lentini, Björn Reinius, Demi Brownlie, Angelica Cuapio Gomez, Eivind Heggernes Ask, Ryan M Hull, Alvaro Haroun-Izquierdo, Marie Schaffer, Jonas Klingström, Elin Folkesson, Marcus Buggert, Johan K Sandberg, Lars I Eriksson, Olav Rooyackers, Hans-Gustaf Ljunggren, Karl-Johan Malmberg, Jakob Michaëlsson, Nicole Marquardt, Quirin Hammer, Kristoffer Strålin, Niklas K Björkström, Karolinska COVID-19 Study Group

    Cell. 14 Aug 2020

    Robust T cell immunity in convalescent individuals with asymptomatic or mild COVID-19

    Takuya Sekine, André Perez-Potti, Olga Rivera-Ballesteros, Kristoffer Strålin, Jean-Baptiste Gorin, Annika Olsson, Sian Llewellyn-Lacey, Habiba Kamal, Gordana Bogdanovic, Sandra Muschiol, David J. Wullimann, Tobias Kammann, Johanna Emgård, Tiphaine Parrot, Elin Folkesson, Karolinska COVID-19 Study Group, Olav Rooyackers, Lars I. Eriksson, Jan-Inge Henter, Anders Sönnerborg, Tobias Allander, Jan Albert, Morten Nielsen, Jonas Klingström, Sara Gredmark-Russ, Niklas K. Björkström, Johan K. Sandberg, David A. Price, Hans-Gustaf Ljunggren, Soo Aleman, Marcus Buggert

    News

    25th September 2020

    Data on additional cell tracks will be added during the autumn of 2020

    As work is progressing with the Karolinska KI/K COVID-19 Immune Atlas, data on additional immune cell types, including ILCs, neutrophils, unconventional T cells, B cells, and mononuclear phagocytes as well as on inflammatory soluble factors will be added during the autumn of 2020.

    Regulatory

    The present project has been approved by the Swedish Ethical Review Authority. All COVID-19 patients and healthy controls have provided consent to the study. All data are presented at a group aggregate level.

    Support

    The present project has supported by the Knut and Alice Wallenberg Foundation, Nordstjernan AB, Karolinska Institutet, and the Karolinska University Hospital.

    Licence

    The Karolinska KI/K COVID-19 Immune Atlas is licensed under the Creative Commons Attribution-ShareAlike 3.0 International License for all copyrightable parts of the present database.

    While it is encouraged to use this resources for research, proper citation of the content should be given in all cases.

    If uncertain about how to cite this source or if written approval is needed for a specific use that is otherwise restricted, please contact us.

    Other parts of this website, including photographs, drawings, design and code, are copyrighted and cannot be distributed or reused without permission.

    Protein names and gene symbols for soluble factors are retrieved from the UniProt database1.

    Citation

    If citing or displaying any content in any format, written or otherwise, including print or web publications, presentations, grant applications, websites, other online applications such as blogs, or other works, the following must be met:

    1. Include a reference to the primary publication (see list of papers).

    AND

    1. Include a reference to the present website: Karolinska KI/K COVID-19 Immune Atlas available from http://COVID19cellatlas.com

    Use of cookies

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    Contact

    Associate Professor Niklas Björkström, niklas.bjorkstrom@ki.se (science/research)

    Professor Hans-Gustaf Ljunggren, hans-gustaf.ljunggren@ki.se (science/research)

    Associate Professor Kristoffer Strålin, kristoffer.stralin@sll.se (science/clinic)

    MD Eivind Heggernes Ask, e.h.ask@studmed.uio.no (science/web)

          • Overview
          • Cell counts
          • Populations
          • Populations
          • Percentages
          • MFIs
          • ELISA
          • Antibody titers
          • Box plot
          • Volcano plot
          • Radar chart
          • Statistics
          • Healthy vs. moderate
          • Healthy vs. severe
          • Moderate vs. severe

          Select a protein
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