4
www.altrabio.com [email protected] Advantages: Time saving (fast, 24/7) Standardisation of the gating process Improved reliability (reproducibility & accuracy) by removing the variability of manual gating Adapted to deep and complex gating strategies Automation of quality controls and outlier identification MASS/FLOW CYTOMETRY DATA ANALYSIS AltraBio offers comprehensive services for flow and mass cytometry data analysis from gating to cross-sample analysis. To maximise the value of your experimental results and to speed up your process , AltraBio’s offer covers the entire data analysis workflow from discovery and diagnostic studies to optimization of population identification processes. • Immunophenotyping Identification of cell populations to diagnose a disease and/or its evolution Identification & description of populations responding to a therapy Identification of therapeutic targets Too much data to deal with? SPADE ViSNE Gating by clustering & dimension reduction FlowSOM Too many samples to gate? Automation of manual gating by machine learning approaches FCS File + manual gating Train computer Trained computer You FCS File FCS File + auto gating Making sense of your Data FCS File

MASS/FLOW CYTOMETRY DATA ANALYSIS

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Page 1: MASS/FLOW CYTOMETRY DATA ANALYSIS

[email protected]

Advantages:

• Time saving (fast, 24/7)• Standardisation of the gating process

• Improved reliability (reproducibility & accuracy) by removing the variability of manual gating

• Adapted to deep and complex gating strategies

• Automation of quality controls and outlier identification

MASS/FLOW CYTOMETRY DATA ANALYSIS AltraBio offers comprehensive services for flow and mass cytometry data analysis from gating to cross-sample analysis. To maximise the value of your experimental results and to  speed up your process, AltraBio’s offer covers the entire data analysis workflow  from  discovery and diagnostic studies to  optimization of population identification processes.

• Immunophenotyping• Identification of cell populations to diagnose

a disease and/or its evolution• Identification & description of populations

responding to a therapy• Identification of therapeutic targets

Too much data to deal with?

SPADE ViSNE

Gating by clustering & dimension reduction

FlowSOM

Too many samples to gate?

Automation of manual gating by machine learning approaches

FCS File +

manual gating

Train computer

Trained computer

You

FCS File

FCS File + auto

gating

Making sense of your Data

FCS File

Page 2: MASS/FLOW CYTOMETRY DATA ANALYSIS

OMICS DATA ANALYSIS AltraBio's team implements and develops state-of-the-art and innovative methods for all kinds of omics studies (genomics, transcriptomics, proteomics, …) in both preclinical and clinical contexts with the aim of caracterizing new models, molecular mecanisms/markers of pathology, biological ways of interest (oxydative stress, immune response,…), effect of treatments at different doses, microbiotes.

[email protected]

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CXCL8

NAMPTP1

G0S2CXCL8

CX3CR1

FCGR3B

ZNF331

CXCR2

PDE4B

MAFF

NAMPT

NR4A2

CREM

S100P

OAS1

BCL2A1

PTGS2

CMTM2

HBEGF GPR183

RGCC

PLAUR

MS4A6A

IDI1

PFKFB3LOC284454

SLC25A37

SLC2A3

HBM

IL1B

CXCL2

GIMAP4

HBD

OSM

CCR2

IDH1RAB10

KCTD12

B3GNT5

TNFSF10

BASP1

IL1R2

ZBTB21

RGS1

EEF1D

SMCO4

CD83

MXD1

MGAM

LITAF

TNFAIP3

AQP9

SAMSN1

CXCR4

MS4A6A

FGD2ALAS2

VCAN

AATBC

COPB2

ABCA1

BRE−AS1

IFI27TLR8

SFPQATF3

TNFAIP8L2

TMEM176B

FOSGOLGA8A

CD69

SON

ZFP36

FFAR2

CA1

RNF103

CDKN1CKLRF1

GPRASP1

GZMH

IFITM2

ALDH1A1

FGFBP2

JUN

NSUN5P1

CLU

LINC00936

POU2AF1

IGHM

/1.2

/1.5

x1.2

x1.5

/1.2/1.5/2 x1.2 x1.5LAIV:(D3 / D0)

TIV:

(D3

/ D0)

Non−significant (adjusted p−value>0.05)

Significant in LAIV:(D3 / D0)

Significant in TIV:(D3 / D0)

Significant in both

• Cutting-edge data analysis methodologies• Extensive quality controls• Tailor-made statistical analyses• Functional analysis / pathway identification• Biological interpretation• Comprehensive report • Visualisation tool to interact with your results

AltraBio’s added value●

● ●

●●

−20 −10 0 10 20

−30

−20

−10

010

20

PC1

PC2

01

02

03

0405

0607

08

09

10

11 12

13 15

19

20

21

22 24

●●

●●

● ●

−30 −20 −10 0 10 20

−30

−20

−10

010

20

PC3

PC2

01

02

03

0405

0607

08

09

10

1112

1315

19

20

21

22 24

−1.0 −0.5 0.0 0.5 1.0

−1.0

−0.5

0.0

0.5

1.0

PC1

PC2

●●

CD24

LRRC17

SPON2

DDX17

POSTN

SPINK5

CHI3L1

SERPINA3

ADH1B

ALDH1A3KRT23

SFN

APOD

IGFBP3

ITGB6

IVL

KRT5

KRT6AKRT6B

KRT15

KRT16

KRT17

KRT19

KRTDAP

LAMA3

LAMB3

LCN2

TACSTD2CEACAM6

PI3

SERPINB5

FXYD3KLK7

S100A14

RARRES1

S100A2

S100A8

S100A9

S100P

CCL11

C19orf33

ERAP2

MIR205HG

SLPI

SPRR1A

SPRR1B

SPRR2A

VCAM1

GPRC5A

FGFBP1

% v

aria

nce

05

1015

2025

TimePoint J14 J18

Zone Zone− Zone+

Donor no15 no16

PCA

P129_03_01S16_no15_J14

P129_04_01S16_no15_J14

P129_05_01S16_no15_J14

P129_06_01S16_no15_J14

P129_01_01S16_no15_J14

P129_02_01S16_no15_J14

P129_13_01S16_no15_J18

P129_15_01S16_no15_J18

P129_21_01S16_no16_J18

P129_20_01S16_no16_J18

P129_19_01S16_no16_J18

P129_22_01S16_no16_J18

P129_09_01S16_no16_J14

P129_10_01S16_no16_J14

P129_11_01S16_no16_J14

P129_07_01S16_no16_J14

P129_08_01S16_no16_J14

P129_12_01S16_no16_J14

P129_24_01S16_no16_J18

ZoneTimePointDonor

Donorno15no16

TimePointJ14J18

ZoneZone−Zone+

100 10097 100100 100

100 100100 99

9971

1007986

87

87

Hierarchical clustering

PBS

APB

S A

PBS

APB

S A

PBS

APB

S B

PBS

BPB

S B

PBS

BPB

S B

Non

e B

Non

e B

Non

e B

Non

e B

Non

e B

Non

e B

T1 A

T1 A

T1 A

T1 A

T1 A

T1 A

T1 B

T1 B

T1 B

T1 B

T1 B

T1 B

T2 A

T2 A

T2 A

T2 A

T2 A

T2 B

T2 B

T2 B

T2 B

T2 B

T2 B

T3 A

T3 A

T3 A

T3 A

T3 A

T3 B

T3 B

T3 B

T3 B

T3 B

T3 B

− SERPINB4− CASP14− CRNN− KRT77− INHBB− SLC40A1− TPX2− PTGS1− TNNC1− SERPINB12− HSD11B1− C1orf105− FAM83D− RARRES1− CA6− ACPP− GAN− SLC45A4− TMEM99− SLC16A10− ALOX12− SLC1A6− SLC46A2− C15orf59− TYRP1− NUAK1− HMGB2− HOXC6− MKNK2− ZNF395− SLC6A8− CLCA4− PTTG1− PFKP− NDUFA4L2− IGFBP3− ALDOC− FOS− DDIT4− EGLN3− CA9− P4HA1− IER3− LRMP− PGF− PPFIA4− PFKFB4− MT1X− SERPINE1− FUT11− NDRG1− ANKRD37− PFKFB3− C7orf68− ANGPTL4− PPP1R3C− ADM− KCTD11− TCN1− S100A7A− ANKRD30BL− SLC7A5− PHLDA1− CH25H− S100P− STC2− ECM2− PHGDH− EIF4EBP1− NUPR1− ASS1− RCN1− PSAT1− MOCOS− SHMT2− CBS− CADM1− BCHE− SERPINE2− SLC7A11− PSPH− TUBE1− CHAC1− HERPUD1− MARS− TARS− XBP1− AARS− ASNS− PCK2− YARS− PRSS23− IFI6− IFI27− IFITM3− ISG15− HLA−B− DDX60− IFITM1− IFI44− XAF1− MX1− IFIH1− IFIT1− IFIT3− IGFL1− SPINK6− PI3− SPRR4− SYNM− CHST2− KRT9− FABP4− EPRS− LOC100131261− TOP1− M6PR− USO1− HIST1H4C− TAOK1− MALAT1− SMC3− PVRL4− SFRS18− ANKRD11− SECISBP2− DNAJC1− LEPROT− TSPAN5− TAF1D− CCAR1− S100A7− S100A12− MMP10− MMP3− TCHH− SPRR3− C14orf34− DHRS9− HMGCS2− RPTN− ODC1− KRT17− SPRR2A− SPRR2G− C4orf19− LCN2− UPP1− RNASE7− KRT75

Heat-Maps

Volcano plots

Geneset enrichment

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CXCL8

G0S2

NAMPTP1

NAMPT

PTGS2

FCGR3B

CXCL8

NR4A2

RGS1

CX3CR1

CLC

ZNF331

PDE4B

BRE−AS1

S100P

PFKFB3

EGR2

CXCL2

HBEGF

PLAURMAFF

NR4A3

CXCR2

BCL2A1

NFIL3

IL1B

AREG

SLC2A3

OSM

CREM

ACSL1

EEF1D

GPR183

B3GNT5

BASP1

SLC25A37

GIMAP4

AQP9

CMTM2

MS4A6A

IDI1

HBM

CD83

RGS2

MXD1

SGK1

PROK2

CSRNP1

ZBTB21

HBD

OAS1

CCR2

IDH1CXCL1

TREM1

C5AR1

IL1R2

DENND2D

KCTD12

EGR3

SAMSN1

TNFRSF10C

LITAF

RAB10

ATG2A

ATF3

THBS1

PELI1

MGAM

ZNF267

ALAS2

JUN

HSD17B4

LTF

IRS2

RAB20

SELENOK

MS4A7

VCAN

MS4A6A

CLEC12A

ISCA1

MNDA

RNASE6

TP53INP2

RGCC

SGK223

FAM53C

MIR22HGGAPT

METTL7A

TRG−AS1

CD36USP15

SOD2

GIMAP1

TRIB1

TRIM58

SLC35A1

MPEG1

MRPS31

SMCO4

FKBP5

YTHDF3

IL7R

GNA13

VCAN

DUSP2

CLEC2B

SLC25A39

RTN1

STK38

LRRC8D

ELP3

IFIT2

RB1CC1

TES

EGR1

FOSB

CUL4A

PROSC

MYOF

LYZ

IFI27

RAB18

FAM208A

SLU7

AK2

HERC5

GLG1

SELENOH

ARHGEF6

MRFAP1

1

0.01

10−4

10−6

/1.2/1.5/2 x1.2 x1.5LAIV:(D7 / D0)

adju

sted

p−v

alue

● ●Non−significant (adjusted p−value>0.05) Significant in LAIV:(D7 / D0)

Pairwise comparisons

What we deliverWhat we need What we do

Generated Data

AltraBio’s workflow

From your own providers or from our partners

Biological questions

Implementation of biostatistical and biomathematical methodsState-of-the-art methods/Customized statistical models/Classifier analyses

Comprehensive reportAnalysis methods & results/Publication quality

images/Oral presentation of the reports

Access to WikiBioPathWeb interface for visualization of the results

Making sense of your Data

Page 3: MASS/FLOW CYTOMETRY DATA ANALYSIS

Making sense of your Data

A Cross-Sectional Study Assessing the Contributions of Body Fat Mass and Fat-Free Mass to Body Mass Index Scores in Male Youth Rugby Players. Gavarry O, Lentin G, Pezery P, … Sports Med Open. 2018 May 2; 4(1):17.

Antigen-Induced but Not Innate Memory CD8 T Cells Express NKG2D and Are Recruited to the Lung Parenchyma upon Viral Infection. Grau M, Valsesia S, Mafille J, … J Immunol. 2018 Apr 9. pii: ji1701698.

Observational study of potential risk factors of immersion pulmonary edema in healthy divers: exercise intensity is the main contributor. Boussuges A, Ayme K, Chaumet G, … Sports Med Open. 2017 Oct; 3(1):35.

Human Dermal Fibroblast Subpopulations Display Distinct Gene Signatures Related to Cell Behaviors and Matrisome. Nauroy P, Barruche V, Marchand L, …  J Invest Dermatol. 2017 Aug; 137(8):1787-89.

MMP-7 is a predictive biomarker of disease progression in patients with idiopathic pulmonary fibrosis. Bauer Y, White ES, de Bernard S, … ERJ Open Res. 2017 Mar; 3(1).

How can we work together?Subcontracts

Hundreds of analyses performed with major pharmaceutical, biotechnology & cosmetics

companies

Collaborative projects

SME partner for your grant applications (ANR, La Ligue, FUI, H2020, …)

- PREDIVAC & MEMOIRE Consortia -

Why AltraBio?• 12 years of expertise in the implementation and

development of bioinformatic tools (hundreds analyses performed) for:‣ life science data analysis/mining in

immunology, oncology, dermo-cosmetology‣ biological interpretation of results‣ databases generation

• A multidisciplinary team (bioinformaticians/mathematicians and biologists/physicians)

• A step-by-step approach with unsupervised and supervised analysis to adapt the analysis process to your problem

• WikiBioPath & Cytautomaton, proprietary tools allowing you to interact with your results & automate the application of your gating strategies

• Time & cost effective services• Our disponibility and flexibility

Recent publications…

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They already trust us

Page 4: MASS/FLOW CYTOMETRY DATA ANALYSIS

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Do not hesitate to contact us

[email protected]