SlideShare une entreprise Scribd logo
1  sur  140
Télécharger pour lire hors ligne
Ignacio S. Caballero
bioinformatics graduate program
Boston University
Using the Host Immune Response
To Hemorrhagic Fever Viruses
To Understand Pathogenesis
and Improve Diagnostics
Connor Lab
National Emerging Infectious Diseases Laboratories
Understanding the host immune response
to Ebola virus infection
Part I
Part II
Distinguishing between hemorrhagic fevers
by using the host immune response
Understanding the host immune response
to Ebola virus infection
Part I
Why focus on the host immune response?
Why focus on the host immune response?
1. Hemorrhagic fever symptoms are likely
caused by a dysregulated host response
Why focus on the host immune response?
2. We can measure the activity of the players
but we don’t understand a lot of the rules
1. Hemorrhagic fever symptoms are likely
caused by a dysregulated host response
Hemorrhagic Fever Viruses
Marburg
Bryan Hansen
RML, NIAID
Ebola
CDC Public
Health Library
Hemorrhagic Fever Viruses
Marburg
Bryan Hansen
RML, NIAID
Lassa
CDC Public
Health Library
Ebola
CDC Public
Health Library
Geographical distribution
Ebola(pre-2014)
Geographical distribution
MarburgEbola(pre-2014)
Geographical distribution
MarburgEbola(post-2014)
Geographical distribution
MarburgEbola(post-2014)
Lassa
Hemorrhagic fevers share similar symptoms
Ebola &
Marburg
Lassa
Early
Headache
Malaise
Fever
Malaise
Sore throat
Fever
Weakness
Weakness
Headache
Hemorrhagic fevers share similar symptoms
Ebola &
Marburg
Lassa
Early
Headache
Malaise
Fever
Malaise
Sore throat
Fever
Weakness
Weakness
Headache
Vomiting
Diarrhea
Middle
Diarrhea
Joint pain
Rash
Pharyngitis
Pharyngitis
Vomiting
Hemorrhagic fevers share similar symptoms
Ebola &
Marburg
Lassa
Early
Headache
Malaise
Fever
Malaise
Sore throat
Fever
Weakness
Weakness
Headache
Vomiting
Diarrhea
Middle
Diarrhea
Joint pain
Rash
Pharyngitis
Pharyngitis
Vomiting
Late
Multiorgan failure
Diffuse coagulopathy
Hypovolemic shock
Mucosal bleeding
Hypovolemic shock
Pulmonary edema
Edema
Multiorgan failure
Mucosal bleeding
Reasons to study hemorrhagic fever viruses
1. Difficult to diagnose during the early stages
Reasons to study hemorrhagic fever viruses
2. High mortality rates
1. Difficult to diagnose during the early stages
Reasons to study hemorrhagic fever viruses
3. Lack of treatments and vaccines
2. High mortality rates
1. Difficult to diagnose during the early stages
Reasons to study hemorrhagic fever viruses
3. Lack of treatments and vaccines
2. High mortality rates
1. Difficult to diagnose during the early stages
4. Potential to be used as bioweapons
Part II
Distinguishing between hemorrhagic fevers
by using the host immune response
Understanding the host immune response
to Ebola virus infection
Part I
We use animal models
to study the immune response
Macaque
We use animal models
to study the immune response
Macaque
Blood
Ebola virus
infection
We use animal models
to study the immune response
Immune
Cells
Centrifugation
Macaque
Blood
Ebola virus
infection
We use animal models
to study the immune response
Immune
Cell RNA
RNA
Extraction
Immune
Cells
Centrifugation
Macaque
Blood
Ebola virus
infection
We use animal models
to study the immune response
Immune
Cell RNA
RNA
Extraction
Immune
Cells
Centrifugation
Macaque
Blood
Ebola virus
infection
at BSL-4 at BU
We use animal models
to study the immune response
Immune
Cell RNA
RNA
Extraction
Immune
Cells
Centrifugation
Macaque
Blood
Ebola virus
infection
at BSL-4 at BU
Sequenced
Reads
RNA
Sequencing
We use animal models
to study the immune response
Immune
Cell RNA
RNA
Extraction
GENE
Alignment &
Quantification
Gene Expression
Levels
Immune
Cells
Centrifugation
Macaque
Blood
Ebola virus
infection
at BSL-4 at BU
Sequenced
Reads
RNA
Sequencing
Sequencing
files
Bioinformatics pipeline
Sequencing
files
Macaque
Transcriptome+Tophat
Aligned
Reads
Bioinformatics pipeline
Sequencing
files
Macaque
Transcriptome+Tophat
Aligned
Reads
Raw
Counts
Feature
Counts
Bioinformatics pipeline
Sequencing
files
Macaque
Transcriptome+
Normalized
Counts
Trimmed Mean
of M-values
(edgeR)
Tophat
Aligned
Reads
Raw
Counts
Feature
Counts
Bioinformatics pipeline
Sequencing
files
Macaque
Transcriptome+
Normalized
Counts
Trimmed Mean
of M-values
(edgeR)
Design
Matrix
+
Tophat
Aligned
Reads
Raw
Counts
Feature
Counts
Bioinformatics pipeline
Sequencing
files
Macaque
Transcriptome+
Normalized
Counts
Trimmed Mean
of M-values
(edgeR)
Design
Matrix
+
Fold changes
and p-values
Negative Binomial
GLM
Empirical Bayes
(edgeR)
+
Tophat
Aligned
Reads
Raw
Counts
Feature
Counts
Bioinformatics pipeline
Fold changes
and p-values
Sequencing
files
Macaque
Transcriptome+
Normalized
Counts
Trimmed Mean
of M-values
(edgeR)
Design
Matrix
+
Negative Binomial
GLM
Empirical Bayes
(edgeR)
+
Tophat
Aligned
Reads
Raw
Counts
Feature
Counts
Bioinformatics pipeline
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None Fever Severe
Ebola sequencing dataset
1000 FFU via intramuscular injection (Barrenas et al., 2015)
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None Fever Severe
Ebola sequencing dataset
1000 FFU via intramuscular injection (Barrenas et al., 2015)
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None Fever Severe
Ebola sequencing dataset
1000 FFU via intramuscular injection (Barrenas et al., 2015)
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None Fever Severe
Ebola sequencing dataset
Ebola (vaccinated) sequencing dataset
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None None None
1000 FFU via intramuscular injection (Barrenas et al., 2015)
1000 FFU via intramuscular injection (Barrenas et al., 2015)
GENE
GENE
GENE
What are the gene expression changes
that we would expect to see
during Ebola infection?
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
DNA
Nucleus
Cell membrane
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
DNA
Nucleus
Cell membrane
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
Cell membrane
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
P
IRF3
Cell membrane
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
P
IRF3
P P
IRF3 IRF3
Cell membrane
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
P
IRF3
P P
IRF3 IRF3
P
NFKB
IKBa
Cell membrane
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
P
IRF3
P P
IRF3 IRF3 NFKB
P
NFKB
IKBa
Cell membrane
Interferon
Beta
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
P
IRF3
P P
IRF3 IRF3 NFKB
P
NFKB
IKBa
Cell membrane
Interferon
Beta
Interferon acts as an alarm signal warning
neighbouring cells about a detected immune threat
Virus
particles
viral
RNA
MDA5/RIG-I
detection
DNA
Nucleus
Interferon
P
IRF3
P P
IRF3 IRF3 NFKB
P
NFKB
IKBa
Cell membrane
Nucleus
Cell membrane
Interferon
The production of interferon-stimulated genes
is part of the antiviral response
Nucleus
Cell membrane
InterferonInterferon
receptor
The production of interferon-stimulated genes
is part of the antiviral response
Nucleus
Cell membrane
InterferonInterferon
receptor
The production of interferon-stimulated genes
is part of the antiviral response
STAT1STAT2
Nucleus
Cell membrane
InterferonInterferon
receptor
The production of interferon-stimulated genes
is part of the antiviral response
STAT1STAT2
Nucleus
Cell membrane
InterferonInterferon
receptor
The production of interferon-stimulated genes
is part of the antiviral response
STAT1STAT2
Interferon-stimulated
response element Nucleus
Cell membrane
InterferonInterferon
receptor
The production of interferon-stimulated genes
is part of the antiviral response
Interferon
stimulated
genes
STAT1STAT2
Interferon-stimulated
response element Nucleus
Cell membrane
InterferonInterferon
receptor
The production of interferon-stimulated genes
is part of the antiviral response
Interferon
stimulated
genes
STAT1STAT2
Interferon-stimulated
response element Nucleus
Cell membrane
InterferonInterferon
receptor
MX1
IFIT1
ISG15
OAS1
HERC5
…
The production of interferon-stimulated genes
is part of the antiviral response
Ebola virus contains a protein that inhibits
the production of interferon
Ebola
virions
viral
ssRNA
MDA5/RIG-I
sensing
DNA
Nucleus
P
IRF3
Interferon
Beta
Interferon
P P
IRF3 IRF3 NFKB
P
NFKB
IKBa
Cell membrane
Ebola virus contains a protein that inhibits
the production of interferon
Ebola
virions
viral
ssRNA
MDA5/RIG-I
sensing
DNA
Nucleus
P
IRF3
Interferon
Beta
Interferon
P P
IRF3 IRF3 NFKB
P
NFKB
IKBa
Cell membrane
eVP35
Ebola virus contains a protein that inhibits
the production of interferon
Ebola
virions
viral
ssRNA
MDA5/RIG-I
sensing
DNA
Nucleus
P
IRF3
P
NFKB
IKBa
Cell membrane
eVP35
Ebola infection leads to an early increase in the
expression of interferon-stimulated genes
Interferon-stimulated genes in vaccinated animals
don’t become highly expressed after infection
The majority of genes in vaccinated animals
don’t change their expression throughout infection
A subset of important immune genes becomes
highly expressed in vaccinated animals
Hypothesis 1: An unknown mechanism allows
infected cells to stimulate interferon production
Hypothesis 2: Non-productively infected cells
can still produce interferon
1000 FFU via intramuscular injection (Barrenas et al., 2015)
Ebola intramuscular dataset
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None Fever Severe
1000 FFU via intramuscular injection (Barrenas et al., 2015)
Ebola intramuscular dataset
Days post-infection 0 4 7
Number of samples 3 3 3
Clinical symptoms None Fever Severe
Ebola aerosol dataset
Days post-infection 0 3 6 8
Number of samples 4 3 3 2
Clinical symptoms None Fever Severe Severe
1000 PFU via aerosol exposure
Different routes of infection lead to
comparable immune responses
Different routes of infection lead to
comparable immune responses
Ebola infection leads to an early and strong
induction of interferon stimulated genes
Conclusions from Part I
Ebola infection leads to an early and strong
induction of interferon stimulated genes
Circulating immune cells don’t show this
pattern of activation in vaccinated animals
Conclusions from Part I
Ebola infection leads to an early and strong
induction of interferon stimulated genes
Circulating immune cells don’t show this
pattern of activation in vaccinated animals
The route of infection does not appear to cause
lasting differences in the immune response
Conclusions from Part I
Part II
Distinguishing between hemorrhagic fevers
by using the host immune response
Understanding the host immune response
to Ebola virus infection
Part I
Current diagnostic methods require
the presence of the virus in the blood
Time
Viral
Infection
day 0
Current diagnostic methods require
the presence of the virus in the blood
Time
Viral
Infection
day 0
Initial
symptoms
day 2-4
Current diagnostic methods require
the presence of the virus in the blood
Time
Viral
Infection
day 0
Initial
symptoms
day 2-4
Virus enters the
blood (viremia)
day 4-6
Current diagnostic methods require
the presence of the virus in the blood
RT-PCR diagnostic
becomes effective
Time
Viral
Infection
day 0
Initial
symptoms
day 2-4
Virus enters the
blood (viremia)
day 4-6
Current diagnostic methods require
the presence of the virus in the blood
RT-PCR diagnostic
becomes effective
Time
Viral
Infection
day 0
Initial
symptoms
day 2-4
Virus enters the
blood (viremia)
day 4-6
Activated immune
response
No current test
Is it possible to distinguish
between different infections using
the early host immune response?
1000 PFU via aerosol exposure (Caballero et al., 2014)
Days post-infection 0 3 6 10
Number of samples 4 4 2 2
Clinical symptoms None Fever Severe Severe
Lassa sequencing dataset
Marburg sequencing dataset
Days post-infection 0 3 5 9
Number of samples 3 3 3 3
Clinical symptoms None Fever Severe Severe
1000 PFU via aerosol exposure (Caballero et al., 2014)
1000 PFU via aerosol exposure (Caballero et al., 2014)
Days post-infection 0 3 6 10
Number of samples 4 4 2 2
Clinical symptoms None Fever Severe Severe
Lassa sequencing dataset
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Most frequent gene expression patterns
Ebola early transcriptional response
Common early transcriptional response
FoldChange
Significance (FDR)
Lassa
FoldChange
Marburg
The interferon response is activated
as early as 3 days post-infection
Significance (FDR)
FoldChange
Significance (FDR)
Lassa
FoldChange
Marburg
The interferon response is activated
as early as 3 days post-infection
Significance (FDR)
FoldChange
Significance (FDR)
Lassa
FoldChange
Marburg
Interferon Stimulated
Other
The interferon response is activated
as early as 3 days post-infection
Significance (FDR)
FoldChange
Significance (FDR)
Lassa
FoldChange
Marburg
Interferon Stimulated
Other
The interferon response is activated
as early as 3 days post-infection
Significance (FDR)
ISG15
OAS1
MX1
DHX58
IFIT2
HERC5
FoldChange
Significance (FDR)
Lassa
FoldChange
Marburg
Interferon Stimulated
Other
The interferon response is activated
as early as 3 days post-infection
Significance (FDR)
ISG15
OAS1
MX1
DHX58
IFIT2
HERC5 MX1
ISG15
OAS1
DHX58
IFIT2
HERC5
Immune markers of infection
Immune markers of infection
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k
FoldChange
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L M
0
10
100
gene_name
Foldchange
10
5
10
5
10
5
12 Early
Samples
What are the most informative genes?
12 Early
Samples Marburg
Lassa
Uninfected
What are the most informative genes?
12
biomarker
genes
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k12 Early
Samples Marburg
Lassa
Uninfected
What are the most informative genes?
Can these genes classify blind samples?
66 Blind
Samples
12
biomarker
genes
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k12 Early
Samples Marburg
Lassa
Uninfected
What are the most informative genes?
Can these genes classify blind samples?
66 Blind
Samples
12
biomarker
genes
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k12 Early
Samples
12
biomarker
genes
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k
Marburg
Lassa
Uninfected
What are the most informative genes?
Can these genes classify blind samples?
66 Blind
Samples
12
biomarker
genes
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k12 Early
Samples
12
biomarker
genes
MX1 SIGLEC1 SAMD4A HSPA1B HSPA1L MMP8 ADAM28
0
10
100
gene_name
Foldchange
virus
lassa
marburg
ebola_k
Marburg
Lassa
Uninfected
Marburg
Lassa
Uninfected
What are the most informative genes?
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Each dot represents one of
the 66 blind samples
Principal Component Analysis
(An instruction manual)
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Samples exist in
12-dimensional space
(one dimension per gene)
Each dot represents one of
the 66 blind samples
Principal Component Analysis
(An instruction manual)
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Samples exist in
12-dimensional space
(one dimension per gene)
Each dot represents one of
the 66 blind samples
PCA rotates the 66 samples in
12-dimensional space and
returns the configuration
with the clearest clusters
Principal Component Analysis
(An instruction manual)
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Samples exist in
12-dimensional space
(one dimension per gene)
Each dot represents one of
the 66 blind samples
I only plot the two
dimensions that have
the tightest clusters
PCA rotates the 66 samples in
12-dimensional space and
returns the configuration
with the clearest clusters
Principal Component Analysis
(An instruction manual)
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Samples exist in
12-dimensional space
(one dimension per gene)
Each dot represents one of
the 66 blind samples
I only plot the two
dimensions that have
the tightest clusters
PCA rotates the 66 samples in
12-dimensional space and
returns the configuration
with the clearest clusters
Principal Component Analysis
(An instruction manual)
Biomarker genes are
useful predictors of infection
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Uninfected
samples
Biomarker genes are
useful predictors of infection
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Marburg-infected
samples
Uninfected
samples
Biomarker genes are
useful predictors of infection
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Marburg-infected
samples
Lassa-infected
samples
Uninfected
samples
Biomarker genes are
useful predictors of infection
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Marburg-infected
samples
Lassa-infected
samples
Uninfected
samples
Biomarker genes are
useful predictors of infection
Sequencing samples
used to select the 12 biomarkers
Dimension 1 (80.79% Variance)
Dimension2(9.68%Variance)
Randomly picked genes are not
useful predictors of infection
Days post-infection 0 3 6 10
Number of samples 4 4 2 2
Clinical symptoms None Fever Severe Severe
Lassa sequencing dataset
1000 PFU via aerosol exposure
Days post-infection 0 3 6 10
Number of samples 4 4 2 2
Clinical symptoms None Fever Severe Severe
Lassa sequencing dataset
1000 PFU via aerosol exposure
Independent Lassa microarray dataset
Days post-infection 1 4 6 7 10
Number of samples 3 3 3 3
Clinical symptoms None None Fever Mild Severe
10,000 TCID50 via intramuscular injection (Barrenas et al., 2015)
Validation in an independent
arenavirus dataset
Validation in an independent
arenavirus dataset
Validation in an independent
arenavirus dataset
Conclusions from Part II
Viral hemorrhagic fever infection causes strong
transcriptional changes in circulating immune cells
Conclusions from Part II
Viral hemorrhagic fever infection causes strong
transcriptional changes in circulating immune cells
These changes are among the earliest
signals of infection that we can detect
Conclusions from Part II
Viral hemorrhagic fever infection causes strong
transcriptional changes in circulating immune cells
These changes are among the earliest
signals of infection that we can detect
A subset of these changes are good
discriminators of early stage infections
General Conclusions
Studying the host immune response to
infection can provide novel insights into
the molecular mechanisms that underlie
pathogenesis
General Conclusions
Studying the host immune response to
infection can provide novel insights into
the molecular mechanisms that underlie
pathogenesis
This approach can facilitate the development
of diagnostics, therapeutics and vaccines for
viral hemorrhagic fevers and other diseases
Future directions
Compare the patterns of macaque PBMC
samples with those of human blood samples
Future directions
Compare the patterns of macaque PBMC
samples with those of human blood samples
Understand the proteomic component of
the host immune response
Future directions
Expand the analysis to include additional
diseases like malaria and dengue fever
Compare the patterns of macaque PBMC
samples with those of human blood samples
Understand the proteomic component of
the host immune response
John Connor
John Ruedas
Erik Carter
Emily Speranza
Kristen Peters
Jake Awtry
Michelle Olsen
Acknowledgements
John Connor
John Ruedas
Erik Carter
Emily Speranza
Kristen Peters
Jake Awtry
Michelle Olsen
Ron Corley
Tom Kepler
Evan Johnson
Luis Carvalho
Acknowledgements
John Connor
John Ruedas
Erik Carter
Emily Speranza
Kristen Peters
Jake Awtry
Michelle Olsen
Ron Corley
Tom Kepler
Evan Johnson
Luis Carvalho
Acknowledgements
Judy Yen
Claire Marie Filone
John Connor
John Ruedas
Erik Carter
Emily Speranza
Kristen Peters
Jake Awtry
Michelle Olsen
Ron Corley
Tom Kepler
Evan Johnson
Luis Carvalho
Acknowledgements
Judy Yen
Claire Marie Filone
USAMRIID
Anna Honko
Arthur Goff
Lisa Hensley
Whitehead
Kate Rubins
John Connor
John Ruedas
Erik Carter
Emily Speranza
Kristen Peters
Jake Awtry
Michelle Olsen
Ron Corley
Tom Kepler
Evan Johnson
Luis Carvalho
Bioinformatics Program
Department of Microbiology
Fulbright Comission
Pasteur Institute French Guiana
Acknowledgements
Judy Yen
Claire Marie Filone
USAMRIID
Anna Honko
Arthur Goff
Lisa Hensley
Whitehead
Kate Rubins

Contenu connexe

Tendances

Hcv - immune evasion mechanisms
Hcv - immune evasion mechanismsHcv - immune evasion mechanisms
Hcv - immune evasion mechanismsMarina Ibrahim
 
East Coast fever—Outlook for a new vaccine
East Coast fever—Outlook for a new vaccine East Coast fever—Outlook for a new vaccine
East Coast fever—Outlook for a new vaccine ILRI
 
Ebolavirus Epitope Tracking Tool
Ebolavirus Epitope Tracking ToolEbolavirus Epitope Tracking Tool
Ebolavirus Epitope Tracking ToolMong Ng
 
Chr 19 pap new 2012
Chr 19 pap new 2012Chr 19 pap new 2012
Chr 19 pap new 2012legoscience
 
IB vs Citrex
IB vs CitrexIB vs Citrex
IB vs CitrexCITREX
 
Vaccines against East Coast fever: Re-assessment of p67C and identification o...
Vaccines against East Coast fever: Re-assessment of p67C and identification o...Vaccines against East Coast fever: Re-assessment of p67C and identification o...
Vaccines against East Coast fever: Re-assessment of p67C and identification o...ILRI
 
Recent advances in laboratory diagnosis of viruses
Recent advances in laboratory diagnosis of virusesRecent advances in laboratory diagnosis of viruses
Recent advances in laboratory diagnosis of virusesdeepak deshkar
 
DNA vaccines (types, method and mechanism)
DNA vaccines (types, method and mechanism)  DNA vaccines (types, method and mechanism)
DNA vaccines (types, method and mechanism) Aneela Rafiq
 
single chain fragment variable antibody(ScFv)
single chain fragment variable antibody(ScFv) single chain fragment variable antibody(ScFv)
single chain fragment variable antibody(ScFv) sivasankar. P
 
Current status of serological and nucleic acid based diagnostic techniques fo...
Current status of serological and nucleic acid based diagnostic techniques fo...Current status of serological and nucleic acid based diagnostic techniques fo...
Current status of serological and nucleic acid based diagnostic techniques fo...ILRI
 
Dna vaccines powerpoint
Dna vaccines powerpointDna vaccines powerpoint
Dna vaccines powerpointjadetailor
 
Viruses. Methods of Indication & Identification. Diagnosis of Viral diseases
Viruses. Methods of Indication & Identification. Diagnosis of Viral diseasesViruses. Methods of Indication & Identification. Diagnosis of Viral diseases
Viruses. Methods of Indication & Identification. Diagnosis of Viral diseasesEneutron
 

Tendances (20)

Hcv - immune evasion mechanisms
Hcv - immune evasion mechanismsHcv - immune evasion mechanisms
Hcv - immune evasion mechanisms
 
PhD_presentation_glenting
PhD_presentation_glentingPhD_presentation_glenting
PhD_presentation_glenting
 
East Coast fever—Outlook for a new vaccine
East Coast fever—Outlook for a new vaccine East Coast fever—Outlook for a new vaccine
East Coast fever—Outlook for a new vaccine
 
Ebolavirus Epitope Tracking Tool
Ebolavirus Epitope Tracking ToolEbolavirus Epitope Tracking Tool
Ebolavirus Epitope Tracking Tool
 
Chr 19 pap new 2012
Chr 19 pap new 2012Chr 19 pap new 2012
Chr 19 pap new 2012
 
IB vs Citrex
IB vs CitrexIB vs Citrex
IB vs Citrex
 
Vaccines against East Coast fever: Re-assessment of p67C and identification o...
Vaccines against East Coast fever: Re-assessment of p67C and identification o...Vaccines against East Coast fever: Re-assessment of p67C and identification o...
Vaccines against East Coast fever: Re-assessment of p67C and identification o...
 
GKA deel 2 college 4
GKA deel 2 college 4GKA deel 2 college 4
GKA deel 2 college 4
 
Viruses
VirusesViruses
Viruses
 
Recent advances in laboratory diagnosis of viruses
Recent advances in laboratory diagnosis of virusesRecent advances in laboratory diagnosis of viruses
Recent advances in laboratory diagnosis of viruses
 
DNA vaccines (types, method and mechanism)
DNA vaccines (types, method and mechanism)  DNA vaccines (types, method and mechanism)
DNA vaccines (types, method and mechanism)
 
Vaccine
VaccineVaccine
Vaccine
 
Genetically engineered vaccines
Genetically engineered vaccinesGenetically engineered vaccines
Genetically engineered vaccines
 
Virology techniques
Virology techniquesVirology techniques
Virology techniques
 
Dna vaccines
Dna vaccinesDna vaccines
Dna vaccines
 
Dna vaccines
Dna vaccinesDna vaccines
Dna vaccines
 
single chain fragment variable antibody(ScFv)
single chain fragment variable antibody(ScFv) single chain fragment variable antibody(ScFv)
single chain fragment variable antibody(ScFv)
 
Current status of serological and nucleic acid based diagnostic techniques fo...
Current status of serological and nucleic acid based diagnostic techniques fo...Current status of serological and nucleic acid based diagnostic techniques fo...
Current status of serological and nucleic acid based diagnostic techniques fo...
 
Dna vaccines powerpoint
Dna vaccines powerpointDna vaccines powerpoint
Dna vaccines powerpoint
 
Viruses. Methods of Indication & Identification. Diagnosis of Viral diseases
Viruses. Methods of Indication & Identification. Diagnosis of Viral diseasesViruses. Methods of Indication & Identification. Diagnosis of Viral diseases
Viruses. Methods of Indication & Identification. Diagnosis of Viral diseases
 

En vedette

DR.SATTI MOHAMMED SALEHEbola hemorrhagic fever
DR.SATTI MOHAMMED SALEHEbola hemorrhagic feverDR.SATTI MOHAMMED SALEHEbola hemorrhagic fever
DR.SATTI MOHAMMED SALEHEbola hemorrhagic feverMEEQAT HOSPITAL
 
Ebola: preparedness for alert, control and evaluation
Ebola: preparedness for alert, control and evaluationEbola: preparedness for alert, control and evaluation
Ebola: preparedness for alert, control and evaluationMario Robusti
 
Epidemiology of marburg hemorrhagic fever
Epidemiology of marburg hemorrhagic feverEpidemiology of marburg hemorrhagic fever
Epidemiology of marburg hemorrhagic feverRiddhi Karnik
 
Viral Heamorrhagic Fever EEHF 2007
Viral Heamorrhagic Fever EEHF 2007Viral Heamorrhagic Fever EEHF 2007
Viral Heamorrhagic Fever EEHF 2007guest5323cf
 
Marburg Virus Cultural Approach
Marburg Virus Cultural ApproachMarburg Virus Cultural Approach
Marburg Virus Cultural ApproachLaura Anne Mabbett
 
marburg virus riguey mercado marchena
marburg virus riguey mercado marchenamarburg virus riguey mercado marchena
marburg virus riguey mercado marchenaRigue Mercado M
 
Lecture 15. hemorrhagic fevers
Lecture 15. hemorrhagic feversLecture 15. hemorrhagic fevers
Lecture 15. hemorrhagic feversVasyl Sorokhan
 

En vedette (15)

Marburg virus
Marburg  virusMarburg  virus
Marburg virus
 
Marburg virus
Marburg virusMarburg virus
Marburg virus
 
Marburg disease
Marburg diseaseMarburg disease
Marburg disease
 
DR.SATTI MOHAMMED SALEHEbola hemorrhagic fever
DR.SATTI MOHAMMED SALEHEbola hemorrhagic feverDR.SATTI MOHAMMED SALEHEbola hemorrhagic fever
DR.SATTI MOHAMMED SALEHEbola hemorrhagic fever
 
Ebola: preparedness for alert, control and evaluation
Ebola: preparedness for alert, control and evaluationEbola: preparedness for alert, control and evaluation
Ebola: preparedness for alert, control and evaluation
 
Epidemiology of marburg hemorrhagic fever
Epidemiology of marburg hemorrhagic feverEpidemiology of marburg hemorrhagic fever
Epidemiology of marburg hemorrhagic fever
 
A good looking pipeline
A good looking pipelineA good looking pipeline
A good looking pipeline
 
Viral Heamorrhagic Fever EEHF 2007
Viral Heamorrhagic Fever EEHF 2007Viral Heamorrhagic Fever EEHF 2007
Viral Heamorrhagic Fever EEHF 2007
 
Leptospira azadi
Leptospira azadiLeptospira azadi
Leptospira azadi
 
Mo W 09
Mo W 09Mo W 09
Mo W 09
 
Marburgvirus
MarburgvirusMarburgvirus
Marburgvirus
 
Marburg Virus Cultural Approach
Marburg Virus Cultural ApproachMarburg Virus Cultural Approach
Marburg Virus Cultural Approach
 
marburg virus riguey mercado marchena
marburg virus riguey mercado marchenamarburg virus riguey mercado marchena
marburg virus riguey mercado marchena
 
Lecture 15. hemorrhagic fevers
Lecture 15. hemorrhagic feversLecture 15. hemorrhagic fevers
Lecture 15. hemorrhagic fevers
 
Filovirus
FilovirusFilovirus
Filovirus
 

Similaire à Using the Host Immune Response to Hemorrhagic Fever Viruses to Understand Pathogenesis and Improve Diagnostics

Similaire à Using the Host Immune Response to Hemorrhagic Fever Viruses to Understand Pathogenesis and Improve Diagnostics (20)

John Short dissertation poster
John Short dissertation posterJohn Short dissertation poster
John Short dissertation poster
 
Ebola Viruse slid show.docx
Ebola Viruse slid show.docxEbola Viruse slid show.docx
Ebola Viruse slid show.docx
 
Analysis Of Avian Avulavirus
Analysis Of Avian AvulavirusAnalysis Of Avian Avulavirus
Analysis Of Avian Avulavirus
 
John Short Leeds Dissertation
John Short Leeds DissertationJohn Short Leeds Dissertation
John Short Leeds Dissertation
 
Interferons group assignment BY RIZWAN ULLAH
Interferons group assignment BY RIZWAN ULLAHInterferons group assignment BY RIZWAN ULLAH
Interferons group assignment BY RIZWAN ULLAH
 
Interferon
InterferonInterferon
Interferon
 
Innate immunity
Innate immunityInnate immunity
Innate immunity
 
JSResEssay15-Final-TCDkparsad.doc
JSResEssay15-Final-TCDkparsad.docJSResEssay15-Final-TCDkparsad.doc
JSResEssay15-Final-TCDkparsad.doc
 
Formella Magdalena final project
Formella Magdalena final projectFormella Magdalena final project
Formella Magdalena final project
 
EBOLA VIRUS DISEASE
EBOLA VIRUS DISEASEEBOLA VIRUS DISEASE
EBOLA VIRUS DISEASE
 
Presentation on conventional vaccine (Quality Control and Production aspects)
Presentation on conventional vaccine (Quality Control and Production aspects)Presentation on conventional vaccine (Quality Control and Production aspects)
Presentation on conventional vaccine (Quality Control and Production aspects)
 
Epstein_Barr_Virius.ppt.pdf
Epstein_Barr_Virius.ppt.pdfEpstein_Barr_Virius.ppt.pdf
Epstein_Barr_Virius.ppt.pdf
 
final Chidinma Onyia Poster
final Chidinma Onyia Posterfinal Chidinma Onyia Poster
final Chidinma Onyia Poster
 
Arena Virus
Arena VirusArena Virus
Arena Virus
 
Ebola virus
Ebola virusEbola virus
Ebola virus
 
Viral tests
Viral testsViral tests
Viral tests
 
Edible vaccines
Edible vaccinesEdible vaccines
Edible vaccines
 
Roles of interferon in diseases.
Roles of interferon in diseases.Roles of interferon in diseases.
Roles of interferon in diseases.
 
Expression Library Immunization
Expression Library ImmunizationExpression Library Immunization
Expression Library Immunization
 
Virus host interactions
Virus host interactionsVirus host interactions
Virus host interactions
 

Plus de Nacho Caballero

A Spanish Daily Routine for People Who Struggle with Daily Routines
A Spanish Daily Routine for People Who Struggle with Daily RoutinesA Spanish Daily Routine for People Who Struggle with Daily Routines
A Spanish Daily Routine for People Who Struggle with Daily RoutinesNacho Caballero
 
Single-Cell Transcriptome Analysis of Pluripotent Stem Cells
Single-Cell Transcriptome Analysis of Pluripotent Stem CellsSingle-Cell Transcriptome Analysis of Pluripotent Stem Cells
Single-Cell Transcriptome Analysis of Pluripotent Stem CellsNacho Caballero
 
3 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 2
3 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 23 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 2
3 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 2Nacho Caballero
 
Creating effective slides without having to become a graphic designer
Creating effective slides without having to become a graphic designerCreating effective slides without having to become a graphic designer
Creating effective slides without having to become a graphic designerNacho Caballero
 
How to Build Compelling Research Stories That People Will Remember
How to Build Compelling Research Stories That People Will RememberHow to Build Compelling Research Stories That People Will Remember
How to Build Compelling Research Stories That People Will RememberNacho Caballero
 
Virus Hunting in French Guiana
Virus Hunting in French GuianaVirus Hunting in French Guiana
Virus Hunting in French GuianaNacho Caballero
 
Finding the viral diversity in a biological sample
Finding the viral diversity in a biological sampleFinding the viral diversity in a biological sample
Finding the viral diversity in a biological sampleNacho Caballero
 
Viral biodiversity in rodents
Viral biodiversity in rodentsViral biodiversity in rodents
Viral biodiversity in rodentsNacho Caballero
 
Bridging data analysis and interactive visualization
Bridging data analysis and interactive visualizationBridging data analysis and interactive visualization
Bridging data analysis and interactive visualizationNacho Caballero
 
High-resolution transcriptome of human macrophages
High-resolution transcriptome of human macrophagesHigh-resolution transcriptome of human macrophages
High-resolution transcriptome of human macrophagesNacho Caballero
 
Early detection of highly pathogenic viral infections
Early detection of highly pathogenic viral infectionsEarly detection of highly pathogenic viral infections
Early detection of highly pathogenic viral infectionsNacho Caballero
 
Lassa virus detection using gene expression analysis
Lassa virus detection using gene expression analysisLassa virus detection using gene expression analysis
Lassa virus detection using gene expression analysisNacho Caballero
 
Squamous Cell Carcinoma: Looking for tale-tell signs
Squamous Cell Carcinoma: Looking for tale-tell signsSquamous Cell Carcinoma: Looking for tale-tell signs
Squamous Cell Carcinoma: Looking for tale-tell signsNacho Caballero
 
Gene Extrapolation Models for Toxicogenomic Data
Gene Extrapolation Models for Toxicogenomic DataGene Extrapolation Models for Toxicogenomic Data
Gene Extrapolation Models for Toxicogenomic DataNacho Caballero
 
Sequence Alignment by Information Compression
Sequence Alignment by Information CompressionSequence Alignment by Information Compression
Sequence Alignment by Information CompressionNacho Caballero
 

Plus de Nacho Caballero (20)

A Spanish Daily Routine for People Who Struggle with Daily Routines
A Spanish Daily Routine for People Who Struggle with Daily RoutinesA Spanish Daily Routine for People Who Struggle with Daily Routines
A Spanish Daily Routine for People Who Struggle with Daily Routines
 
Single-Cell Transcriptome Analysis of Pluripotent Stem Cells
Single-Cell Transcriptome Analysis of Pluripotent Stem CellsSingle-Cell Transcriptome Analysis of Pluripotent Stem Cells
Single-Cell Transcriptome Analysis of Pluripotent Stem Cells
 
3 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 2
3 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 23 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 2
3 Ways to Obliterate Bullet Points From Your Slides - Slide Makeover 2
 
Creating effective slides without having to become a graphic designer
Creating effective slides without having to become a graphic designerCreating effective slides without having to become a graphic designer
Creating effective slides without having to become a graphic designer
 
How to Build Compelling Research Stories That People Will Remember
How to Build Compelling Research Stories That People Will RememberHow to Build Compelling Research Stories That People Will Remember
How to Build Compelling Research Stories That People Will Remember
 
Virus Hunting in French Guiana
Virus Hunting in French GuianaVirus Hunting in French Guiana
Virus Hunting in French Guiana
 
Finding the viral diversity in a biological sample
Finding the viral diversity in a biological sampleFinding the viral diversity in a biological sample
Finding the viral diversity in a biological sample
 
Viral biodiversity in rodents
Viral biodiversity in rodentsViral biodiversity in rodents
Viral biodiversity in rodents
 
Bridging data analysis and interactive visualization
Bridging data analysis and interactive visualizationBridging data analysis and interactive visualization
Bridging data analysis and interactive visualization
 
High-resolution transcriptome of human macrophages
High-resolution transcriptome of human macrophagesHigh-resolution transcriptome of human macrophages
High-resolution transcriptome of human macrophages
 
Early detection of highly pathogenic viral infections
Early detection of highly pathogenic viral infectionsEarly detection of highly pathogenic viral infections
Early detection of highly pathogenic viral infections
 
Lab meeting 25/9
Lab meeting 25/9Lab meeting 25/9
Lab meeting 25/9
 
Lassa virus detection using gene expression analysis
Lassa virus detection using gene expression analysisLassa virus detection using gene expression analysis
Lassa virus detection using gene expression analysis
 
An RNA reset button
An RNA reset buttonAn RNA reset button
An RNA reset button
 
Buck v Bell
Buck v BellBuck v Bell
Buck v Bell
 
HIV-1 Antibodies
HIV-1 AntibodiesHIV-1 Antibodies
HIV-1 Antibodies
 
Squamous Cell Carcinoma: Looking for tale-tell signs
Squamous Cell Carcinoma: Looking for tale-tell signsSquamous Cell Carcinoma: Looking for tale-tell signs
Squamous Cell Carcinoma: Looking for tale-tell signs
 
29 Mammalian Genomes
29 Mammalian Genomes29 Mammalian Genomes
29 Mammalian Genomes
 
Gene Extrapolation Models for Toxicogenomic Data
Gene Extrapolation Models for Toxicogenomic DataGene Extrapolation Models for Toxicogenomic Data
Gene Extrapolation Models for Toxicogenomic Data
 
Sequence Alignment by Information Compression
Sequence Alignment by Information CompressionSequence Alignment by Information Compression
Sequence Alignment by Information Compression
 

Dernier

SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptxSCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptxROVELYNEDELUNA3
 
Substances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestSubstances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestAkashDTejwani
 
TORSION IN GASTROPODS- Anatomical event (Zoology)
TORSION IN GASTROPODS- Anatomical event (Zoology)TORSION IN GASTROPODS- Anatomical event (Zoology)
TORSION IN GASTROPODS- Anatomical event (Zoology)chatterjeesoumili50
 
Bureau of Indian Standards Specification of Shampoo.pptx
Bureau of Indian Standards Specification of Shampoo.pptxBureau of Indian Standards Specification of Shampoo.pptx
Bureau of Indian Standards Specification of Shampoo.pptxkastureyashashree
 
Q3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptx
Q3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptxQ3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptx
Q3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptxArdeniel
 
Role of Herbs in Cosmetics in Cosmetic Science.
Role of Herbs in Cosmetics in Cosmetic Science.Role of Herbs in Cosmetics in Cosmetic Science.
Role of Herbs in Cosmetics in Cosmetic Science.ShwetaHattimare
 
Pests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPRPests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPRPirithiRaju
 
M.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery SystemsM.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery SystemsSumathi Arumugam
 
Role of herbs in hair care Amla and heena.pptx
Role of herbs in hair care  Amla and  heena.pptxRole of herbs in hair care  Amla and  heena.pptx
Role of herbs in hair care Amla and heena.pptxVaishnaviAware
 
Shiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky Way
Shiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky WayShiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky Way
Shiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky WaySérgio Sacani
 
Main Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearMain Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearmarwaahmad357
 
biosynthesis of the cell wall and antibiotics
biosynthesis of the cell wall and antibioticsbiosynthesis of the cell wall and antibiotics
biosynthesis of the cell wall and antibioticsSafaFallah
 
Pests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPRPests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPRPirithiRaju
 
Applied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docxApplied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docxmarwaahmad357
 
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdfPests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdfPirithiRaju
 
Speed to Fly Theory in High-Performance Gliding
Speed to Fly Theory in High-Performance GlidingSpeed to Fly Theory in High-Performance Gliding
Speed to Fly Theory in High-Performance GlidingMichael Mckay
 
Application of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptxApplication of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptxRahulVishwakarma71547
 
Lehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.pptLehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.pptSachin Teotia
 
Minimal Residual Disease in leukaemia andhematological malignancies
Minimal Residual Disease in leukaemia andhematological malignanciesMinimal Residual Disease in leukaemia andhematological malignancies
Minimal Residual Disease in leukaemia andhematological malignanciessadiya97
 

Dernier (20)

SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptxSCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
 
Substances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestSubstances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening Test
 
TORSION IN GASTROPODS- Anatomical event (Zoology)
TORSION IN GASTROPODS- Anatomical event (Zoology)TORSION IN GASTROPODS- Anatomical event (Zoology)
TORSION IN GASTROPODS- Anatomical event (Zoology)
 
Bureau of Indian Standards Specification of Shampoo.pptx
Bureau of Indian Standards Specification of Shampoo.pptxBureau of Indian Standards Specification of Shampoo.pptx
Bureau of Indian Standards Specification of Shampoo.pptx
 
Q3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptx
Q3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptxQ3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptx
Q3W4part1-SSSSSSSSSSSSSSSSSSSSSSSSCI.pptx
 
Role of Herbs in Cosmetics in Cosmetic Science.
Role of Herbs in Cosmetics in Cosmetic Science.Role of Herbs in Cosmetics in Cosmetic Science.
Role of Herbs in Cosmetics in Cosmetic Science.
 
Pests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPRPests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPR
 
M.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery SystemsM.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery Systems
 
Role of herbs in hair care Amla and heena.pptx
Role of herbs in hair care  Amla and  heena.pptxRole of herbs in hair care  Amla and  heena.pptx
Role of herbs in hair care Amla and heena.pptx
 
Shiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky Way
Shiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky WayShiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky Way
Shiva and Shakti: Presumed Proto-Galactic Fragments in the Inner Milky Way
 
Main Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearMain Exam Applied biochemistry final year
Main Exam Applied biochemistry final year
 
biosynthesis of the cell wall and antibiotics
biosynthesis of the cell wall and antibioticsbiosynthesis of the cell wall and antibiotics
biosynthesis of the cell wall and antibiotics
 
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
 
Pests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPRPests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPR
 
Applied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docxApplied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docx
 
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdfPests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
 
Speed to Fly Theory in High-Performance Gliding
Speed to Fly Theory in High-Performance GlidingSpeed to Fly Theory in High-Performance Gliding
Speed to Fly Theory in High-Performance Gliding
 
Application of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptxApplication of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptx
 
Lehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.pptLehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.ppt
 
Minimal Residual Disease in leukaemia andhematological malignancies
Minimal Residual Disease in leukaemia andhematological malignanciesMinimal Residual Disease in leukaemia andhematological malignancies
Minimal Residual Disease in leukaemia andhematological malignancies
 

Using the Host Immune Response to Hemorrhagic Fever Viruses to Understand Pathogenesis and Improve Diagnostics