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Sources	and	mixtures	-	recipes	for	
CD4	T	cell	memory
Benedict Seddon
Thea Hogan

Melissa Verheijen
Andrew Yates
Sanket Rane

Maria Nowicka
Data driven systems medicine
11-12 June 2019
Cardiff University Brain Research Imaging Centre
T cells are essential for normal immunity
First line defence Specific response
T cells are essential for normal immunity
First line defence Specific response
Memory is a feature of Adaptive immunity
Innate
Adaptive
Pathogen Pathogen re-encounter
Stability of T cell compartments over the life course
0 100 200 300 400
104
105
106
107
108
mouse age (days)
cellnumber(spleen+LNs)
CD4 Naive
0 100 200 300 400
104
105
106
107
108
CD4 Central Memory
0 100 200 300 400
104
105
106
107
108
CD4 Effector Memory
0 10
3
10
4
10
5
<BV786-A>: CD44
0
10
3
10
4
105
<BUV737-A>:L-sel
14wk old C57BL6
TCRb+CD4+CD25-NK1.1-
Central
Memory
Effector
Memory
Naive
CD62L
CD44
Naive Tcm Tem Naive Tcm Tem
0
20
40
60
%Ki67+ve
CD8 CD4
Memory pools highly dynamic
12.1
34.3
2.69
273.17
SSc
Ki67
Naive MemoryCD4 T cells:
dynamism vs stability
n=14
0 100 200 300 400
104
105
106
107
108
mouse age (days)
cellnumber(spleen+LNs)
CD4 Naive
0 100 200 300 400
104
105
106
107
108
CD4 Central Memory
0 100 200 300 400
104
105
106
107
108
CD4 Effector Memory
What are the rules for maintenance of T cell memory compartments ?
Naive
Central Memory
CD62Lhi CD44hi
Apoptosis
Effector Memory
CD62Llo CD44hi
Is replacement
- random?
- conveyor belt-like (first in, first out)?
- age before beauty (first in, last out)?
- some/all of the above?
- Role of replenishment ?
?
Temporal fate mapping - a clear window upon tonic replenishment
Hogan, T., Gossel, G., Yates, A. J. & Seddon, B. Temporal fate mapping reveals age-linked heterogeneity in naive T lymphocytes in
mice. Proceedings of the National Academy of Sciences 112, E6917–E6926 (2015).
RADIATION
BUSULFAN
DONOR
bone
marrow
Haematopoetic
system
HOST
Alkylating agent that causes DNA damage
to dividing cells - thought to be more toxic
to cells in G1 phase
Used in the clinic as a chemotherapeutic for
CML, and as a conditioning agent prior to
bone marrow transplant
Eliminates HSC in bone marrow
Also eliminates peripheral
lymphocytes
BMT gives stable, high levels of
chimerism
Eliminates HSC in bone marrow
Minimal/no effect on peripheral
lymphocytes
BMT gives stable but partial chimerism
(+ immunosuppresion)
Switch from host to donor development
week 2 week 4 week 6
0 102
103
104
105
<Pacific Orange-A>: CD8
0
10
3
104
105
<PerCP-Cy5-5-A>:CD4
DN
2.12
DP
86.6
SP4
6.8
SP8
1.85
CD4 thymocytes :
Ly5.1
host
Ly5.2
donor
CD4
CD8
BMT
0 10 20 30 40 50
0.0
0.2
0.4
0.6
0.8
1.0
SP thymocytes Naive Memory
wks
fractionreplaced
Kinetic heterogeneity: a two-compartment model of “fast” and “slow” memory
input
CD4 memory
loss
“fast”

renewal
loss
“slow”

renewal
(6-10%

per week)
Gossel, G., Hogan, T., Cownden, D., Seddon, B. & Yates, A. J. eLife Sciences 6, 596 (2017).
“How” but not “what”
Q. What are the immune stimuli for generation of memory compartments ?
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
1. input
3. turnover
2. input
0 100 200 300 400
104
105
106
107
108
CD4 Central Memory
A natural environmental experiment - moving mouse house
Institute of Immunity and Transplantation

Royal Free Hospital
** accommodation
Open cage
Tap drinking water
**** accommodation
IVC cages
Irradiated food
Autoclaved water
NIMR
UCL
NIMR vs UCL thymic reconstitution
Characterising thymocyte dynamics in UCL/NIMR chimeras
• We performed linear regression on log counts of DP1, SP4 and SP8. Numbers in NIMR mice fall more rapidly with age than at UC
(p-value 0.008, 0.003 and 0.006, respectively) which suggests faster thymic involution in NIMR mice.
• NIMR mice show higher numbers of DP1, SP4/8 cells than UCL mice at 7 weeks (p-value 0.00 for all).
DP thymocytes SP4 thymocytes
How does environment influence replenishment of memory ?
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
1. input
3. turnover
2. input
0 100 200 300 400
104
105
106
107
108
CD4 Central Memory
Distinct memory compartment infusion by donor cells in different environments
0 10 20 30 40 50 600 10 20 30 40 50 600 10 20 30 40 50 60
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
Naive donor fraction, normalised CM donor fraction, normalised EM donor fraction, normalised
Age (weeks)
Weeks post BMTWeeks post BMTWeeks post BMT
Age (weeks)Age (weeks)
D
10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700
103
10
103
10
103
10
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
1.00
0.75
0.50
0.25
0.00
+ +
+
Donor infiltration
UCL
NIMR
UCL
NIMR
UCL
NIMR
Distinct memory compartment infusion by donor cells in different environments
Donor naive CD4+
T cells Donor central memory CD4+
T cells Donor effector memory CD4+
T cells
Total naive CD4+
T cells Total central memory CD4+
T cells Total effector memory CD4+
T cells
Age (weeks)Age (weeks)Age (weeks)
CD45.2 donor
bone marrow
Busulfan
2 x 10 mg/kg
CD45.1
host
Time
HSC
THYMUS
PERIPHERY
A
B
C
108
107
106
109
106
105
104
107
106
105
107
108
10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700
Clean
Clean
Dirty
Dirty
Clean
Dirty
0 10 20 30 40 50 600 10 20 30 40 50 600 10 20 30 40 50 60
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
Naive donor fraction, normalised CM donor fraction, normalised EM donor fraction, normalised
Age (weeks)
Weeks post BMTWeeks post BMTWeeks post BMT
Age (weeks)Age (weeks)
D
10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700
103
10
103
10
103
10
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
1.00
0.75
0.50
0.25
0.00
+ +
+
Donor infiltration
Compartment sizes
UCL
NIMR
UCL
NIMR
UCL
NIMR
UCL
NIMR
UCL
NIMR
UCL
NIMR
small memory at UCL = clean ?
Large memory compartment at NIMR = dirty ?
Models of CD4 memory infusion
λ λ
γ
Mfast(t)
Mslo w(t)
λfast
λslo w
S(t)
Precursor
population
(source)
S(t)
Precursor
population
(source)
Force of
recruitment
Net
loss rate
Net
loss rates
ϕ
Transition rate
Force of
recruitment
ϕ
M(t)
λ
CD4 T cell
memory
subset
A B
S(t) M(t) ϕS(t)
ϕ
λ 1/λ
ϕ
M (t) λ
M (t) γ
Single homogenous
compartment
Two compartments
Two compartment models best explain both UCL and NIMR reconstitution data
108
10 20 30 40 50 60 70
10 20 30 40 50 60 70 10 20 30 40 50 60 70
10 20 30 40 50 60 70 10 20 30 40 50 60 70
10 20 30 40 50 60 70
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
107
106
105
104
108
107
106
105
104
Clean
Total cell numbers
Central memory CD4+
T cells Effector memory CD4+
T cells
A
B Fraction donor cells in clean mice,
normalised to thymus
Fraction donor cells in dirty mice,
normalised to thymus
Fraction donor cells in dirty mice,
normalised to thymus
Fraction donor cells in clean mice,
normalised to thymus
Age (weeks)
Age (weeks)
Age (weeks)Age (weeks)
Age (weeks)
Age (weeks)
Total cell numbers
Clean
Dirty
Dirty
< 10
> 16
10-12
13-16
Age @ BMT (wk)
< 10
> 16
10-12
13-16
Age @ BMT (wk)
Age @ BMT = 8 wk Age @ BMT = 8 wk
108
10 20 30 40 50 60 70
10 20 30 40 50 60 70 10 20 30 40 50 60 70
10 20 30 40 50 60 70 10 20 30 40 50 60 70
10 20 30 40 50 60 70
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
1.00
0.75
0.50
0.25
0.00
107
106
105
104
108
107
106
105
104
Total cell numbers
Central memory CD4+
T cells Effector memory CD4+
T cells
A
B Fraction donor cells in clean mice,
normalised to thymus
Fraction donor cells in dirty mice,
normalised to thymus
Fraction donor cells in dirty mice,
normalised to thymus
Fraction donor cells in clean mice,
normalised to thymus
Age (weeks)
Age (weeks)
Age (weeks)Age (weeks)
Age (weeks)
Age (weeks)
Total cell numbers
< 10
> 16
10-12
13-16
Age @ BMT (wk)
< 10
> 16
10-12
13-16
Age @ BMT (wk)
Age @ BMT = 8 wk Age @ BMT = 8 wk
Clean
Clean
Dirty
Dirty
One compartment Two compartments
UCL
NIMR
TOTAL
Nos
ΔAIC (low best) 0 0107 42
Constant rates of constitutive memory cell generation irrespective of environment
1.00 1.00 1.00
Naive donor fraction, normalised
Donor naive CD4+
T cells Donor central memory CD4+
T cells Donor effector memory CD4+
T cells
Total naive CD4+
T cells Total central memory CD4+
T cells Total effector memory CD4+
T cells
CM donor fraction, normalised EM donor fraction, normalised
Age (weeks)Age (weeks)Age (weeks)
Age (weeks)Age (weeks)Age (weeks)
bone marrowhost
Time
HSC
THYMUS
PERIPHERY
B
C
D
108
107
106
109
106
105
104
107
106
105
107
108
10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700
10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700
105
103
10
107
105
103
10
107
105
103
10
107
Clean
Clean
Dirty
Dirty
Clean
Dirty
Clean
Dirty
Clean
Dirty
Clean
Clean
Dirty
1.00
λ λ
γ
Mfast(t)
Mslo w(t)
λfast
λslo w
S(t)
Precursor
population
(source)
Net
loss rate
Net
loss rates
Transition rate
Force of
recruitment
ϕλ
B
S(t) M(t) ϕS(t)
λ 1/λ
ϕ
λ
M (t) γ
λ < λ
Force of recruitment into memory
per source cell per day,
Net los
with
Central
memory CD4
Centr
memory
Effector
memory CD4
0.010
0.1
0.01
1
0.005
0.005
0
A B
0.001
0.0001
Clean Dirty
_
ϕ
−1
Input at steady state is insensitive to environment
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
1. input
3. turnover
2. input
What about establishing memory ?
Q. How does memory generation during ontogeny compare with steady state ?
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
1. input
3. turnover
2. input
Q. Can rates of memory generation in adult predict ontogeny of memory ?
0 10
Age (weeks)
20
0 10
Age (weeks)
20
0 10
Age (weeks)
20
0 10
Age (weeks)
20 0 10
Age (weeks)
20
Central memory CD4+
T cells in clean mice Effector memory CD4+
T cells in clean mice
Central memory CD4+
T cells in dirty mice Effector memory CD4+
T cells in dirty mice
B
C
103
107
106
105
104
103
107
106
105
104
103
107
106
105
104
103
107
106
105
104
106
105
Chimeras
Predicted
trajectory
WT
Chimeras
Predicted
trajectory
WT
WT
Chimeras Chimeras
Predicted
trajectory
Predicted
trajectory
S(t)
0 10
Age (weeks)
20
0 10
Age (weeks)
20
0 10
Age (weeks)
20
Naive CD4+
T cells in clean WT mice
Central memory CD4+
T cells in clean mice Effector memory CD4+
T cells in clean mice
Central memory CD4+
T cells in dirty mice Effector memory CD4+
T cells in dirty mice
A
B
103
107
106
105
104
103
107
106
105
104
108
107
106
105
Chimeras
Predicted
trajectory
WT
Chimeras
Predicted
trajectory
WT
WT
input :
𝜑 clean
𝜑 dirty
Larger memory populations in dirty mice derive from early antigen exposure
How does environment influence memory ontogeny ?
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
1. input
3. turnover
2. input
GF vs SPF vs UCL vs NIMR
A role for micro-biome in establishment of memory ?
… but also a role for spMHC signals to establish memory ?
Counts (Spleen + lymph nodes)
% Ki67 expression % Ki67 expression
Counts (Spleen + lymph nodes)
Chim
eraNIM
RW
T
NIM
R
Chim
eraUCL
SPFOxfordGFOxford
W
T
UCL
Chim
eraNIM
RW
T
NIM
R
Chim
eraUCL
SPFOxfordGFOxford
W
T
UCL
1 x 10 6
1.5 x 10 6
Dirty
Dirty
Clean Clean
5 x 10 5
0
6 x 10 6
8 x 10 6
2 x 10 6
0
4 x 10 6
Dirty
Clean
ND
Clean
40
60
40
60
Central memory CD4+
T cells Effector memory CD4+
T cells
A
B
Does chronic microbiome exposure drive turnover ?
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
1. input
3. turnover
2. input
Measure Ki67 as indicator of cell division
Turnover of memory cells insensitive to environment
0 100 200 300 400
0
20
40
60
80
100
mouse age (days)
%Ki67+ve
NIMR
UCL
Germ Free
Intrinsic and extrinsic antigens shape memory compartments
Age
Memorycellnumber
Establishment of the memory
compartment
Maintenance of the memory
compartment
input
turnover
input
spMHC
microbiome
Acknowledgements
Benedict Seddon
Thea Hogan

Melissa Verheijen
Fiona Powrie

Claire Pearson
Andrew Yates
Sanket Rane

Maria Nowicka

Graeme Gossel

Daniel Cownden

Edward Lee

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Prof. Benedict Seddon (University College London) - Data-driven systems medicine

  • 1. Sources and mixtures - recipes for CD4 T cell memory Benedict Seddon Thea Hogan Melissa Verheijen Andrew Yates Sanket Rane Maria Nowicka Data driven systems medicine 11-12 June 2019 Cardiff University Brain Research Imaging Centre
  • 2. T cells are essential for normal immunity First line defence Specific response
  • 3. T cells are essential for normal immunity First line defence Specific response
  • 4. Memory is a feature of Adaptive immunity Innate Adaptive Pathogen Pathogen re-encounter
  • 5. Stability of T cell compartments over the life course 0 100 200 300 400 104 105 106 107 108 mouse age (days) cellnumber(spleen+LNs) CD4 Naive 0 100 200 300 400 104 105 106 107 108 CD4 Central Memory 0 100 200 300 400 104 105 106 107 108 CD4 Effector Memory 0 10 3 10 4 10 5 <BV786-A>: CD44 0 10 3 10 4 105 <BUV737-A>:L-sel 14wk old C57BL6 TCRb+CD4+CD25-NK1.1- Central Memory Effector Memory Naive CD62L CD44
  • 6. Naive Tcm Tem Naive Tcm Tem 0 20 40 60 %Ki67+ve CD8 CD4 Memory pools highly dynamic 12.1 34.3 2.69 273.17 SSc Ki67 Naive MemoryCD4 T cells: dynamism vs stability n=14 0 100 200 300 400 104 105 106 107 108 mouse age (days) cellnumber(spleen+LNs) CD4 Naive 0 100 200 300 400 104 105 106 107 108 CD4 Central Memory 0 100 200 300 400 104 105 106 107 108 CD4 Effector Memory
  • 7. What are the rules for maintenance of T cell memory compartments ? Naive Central Memory CD62Lhi CD44hi Apoptosis Effector Memory CD62Llo CD44hi Is replacement - random? - conveyor belt-like (first in, first out)? - age before beauty (first in, last out)? - some/all of the above? - Role of replenishment ? ?
  • 8. Temporal fate mapping - a clear window upon tonic replenishment Hogan, T., Gossel, G., Yates, A. J. & Seddon, B. Temporal fate mapping reveals age-linked heterogeneity in naive T lymphocytes in mice. Proceedings of the National Academy of Sciences 112, E6917–E6926 (2015). RADIATION BUSULFAN DONOR bone marrow Haematopoetic system HOST Alkylating agent that causes DNA damage to dividing cells - thought to be more toxic to cells in G1 phase Used in the clinic as a chemotherapeutic for CML, and as a conditioning agent prior to bone marrow transplant Eliminates HSC in bone marrow Also eliminates peripheral lymphocytes BMT gives stable, high levels of chimerism Eliminates HSC in bone marrow Minimal/no effect on peripheral lymphocytes BMT gives stable but partial chimerism (+ immunosuppresion)
  • 9. Switch from host to donor development week 2 week 4 week 6 0 102 103 104 105 <Pacific Orange-A>: CD8 0 10 3 104 105 <PerCP-Cy5-5-A>:CD4 DN 2.12 DP 86.6 SP4 6.8 SP8 1.85 CD4 thymocytes : Ly5.1 host Ly5.2 donor CD4 CD8 BMT 0 10 20 30 40 50 0.0 0.2 0.4 0.6 0.8 1.0 SP thymocytes Naive Memory wks fractionreplaced
  • 10. Kinetic heterogeneity: a two-compartment model of “fast” and “slow” memory input CD4 memory loss “fast” renewal loss “slow” renewal (6-10% per week) Gossel, G., Hogan, T., Cownden, D., Seddon, B. & Yates, A. J. eLife Sciences 6, 596 (2017). “How” but not “what”
  • 11. Q. What are the immune stimuli for generation of memory compartments ? Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment 1. input 3. turnover 2. input 0 100 200 300 400 104 105 106 107 108 CD4 Central Memory
  • 12. A natural environmental experiment - moving mouse house Institute of Immunity and Transplantation
 Royal Free Hospital ** accommodation Open cage Tap drinking water **** accommodation IVC cages Irradiated food Autoclaved water NIMR UCL
  • 13. NIMR vs UCL thymic reconstitution Characterising thymocyte dynamics in UCL/NIMR chimeras • We performed linear regression on log counts of DP1, SP4 and SP8. Numbers in NIMR mice fall more rapidly with age than at UC (p-value 0.008, 0.003 and 0.006, respectively) which suggests faster thymic involution in NIMR mice. • NIMR mice show higher numbers of DP1, SP4/8 cells than UCL mice at 7 weeks (p-value 0.00 for all). DP thymocytes SP4 thymocytes
  • 14. How does environment influence replenishment of memory ? Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment 1. input 3. turnover 2. input 0 100 200 300 400 104 105 106 107 108 CD4 Central Memory
  • 15. Distinct memory compartment infusion by donor cells in different environments 0 10 20 30 40 50 600 10 20 30 40 50 600 10 20 30 40 50 60 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 Naive donor fraction, normalised CM donor fraction, normalised EM donor fraction, normalised Age (weeks) Weeks post BMTWeeks post BMTWeeks post BMT Age (weeks)Age (weeks) D 10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700 103 10 103 10 103 10 Clean Dirty Clean Dirty Clean Dirty Clean Dirty Clean Dirty Clean Dirty 1.00 0.75 0.50 0.25 0.00 + + + Donor infiltration UCL NIMR UCL NIMR UCL NIMR
  • 16. Distinct memory compartment infusion by donor cells in different environments Donor naive CD4+ T cells Donor central memory CD4+ T cells Donor effector memory CD4+ T cells Total naive CD4+ T cells Total central memory CD4+ T cells Total effector memory CD4+ T cells Age (weeks)Age (weeks)Age (weeks) CD45.2 donor bone marrow Busulfan 2 x 10 mg/kg CD45.1 host Time HSC THYMUS PERIPHERY A B C 108 107 106 109 106 105 104 107 106 105 107 108 10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700 Clean Clean Dirty Dirty Clean Dirty 0 10 20 30 40 50 600 10 20 30 40 50 600 10 20 30 40 50 60 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 Naive donor fraction, normalised CM donor fraction, normalised EM donor fraction, normalised Age (weeks) Weeks post BMTWeeks post BMTWeeks post BMT Age (weeks)Age (weeks) D 10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700 103 10 103 10 103 10 Clean Dirty Clean Dirty Clean Dirty Clean Dirty Clean Dirty Clean Dirty 1.00 0.75 0.50 0.25 0.00 + + + Donor infiltration Compartment sizes UCL NIMR UCL NIMR UCL NIMR UCL NIMR UCL NIMR UCL NIMR
  • 17. small memory at UCL = clean ? Large memory compartment at NIMR = dirty ?
  • 18. Models of CD4 memory infusion λ λ γ Mfast(t) Mslo w(t) λfast λslo w S(t) Precursor population (source) S(t) Precursor population (source) Force of recruitment Net loss rate Net loss rates ϕ Transition rate Force of recruitment ϕ M(t) λ CD4 T cell memory subset A B S(t) M(t) ϕS(t) ϕ λ 1/λ ϕ M (t) λ M (t) γ Single homogenous compartment Two compartments
  • 19. Two compartment models best explain both UCL and NIMR reconstitution data 108 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 107 106 105 104 108 107 106 105 104 Clean Total cell numbers Central memory CD4+ T cells Effector memory CD4+ T cells A B Fraction donor cells in clean mice, normalised to thymus Fraction donor cells in dirty mice, normalised to thymus Fraction donor cells in dirty mice, normalised to thymus Fraction donor cells in clean mice, normalised to thymus Age (weeks) Age (weeks) Age (weeks)Age (weeks) Age (weeks) Age (weeks) Total cell numbers Clean Dirty Dirty < 10 > 16 10-12 13-16 Age @ BMT (wk) < 10 > 16 10-12 13-16 Age @ BMT (wk) Age @ BMT = 8 wk Age @ BMT = 8 wk 108 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 10 20 30 40 50 60 70 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 1.00 0.75 0.50 0.25 0.00 107 106 105 104 108 107 106 105 104 Total cell numbers Central memory CD4+ T cells Effector memory CD4+ T cells A B Fraction donor cells in clean mice, normalised to thymus Fraction donor cells in dirty mice, normalised to thymus Fraction donor cells in dirty mice, normalised to thymus Fraction donor cells in clean mice, normalised to thymus Age (weeks) Age (weeks) Age (weeks)Age (weeks) Age (weeks) Age (weeks) Total cell numbers < 10 > 16 10-12 13-16 Age @ BMT (wk) < 10 > 16 10-12 13-16 Age @ BMT (wk) Age @ BMT = 8 wk Age @ BMT = 8 wk Clean Clean Dirty Dirty One compartment Two compartments UCL NIMR TOTAL Nos ΔAIC (low best) 0 0107 42
  • 20. Constant rates of constitutive memory cell generation irrespective of environment 1.00 1.00 1.00 Naive donor fraction, normalised Donor naive CD4+ T cells Donor central memory CD4+ T cells Donor effector memory CD4+ T cells Total naive CD4+ T cells Total central memory CD4+ T cells Total effector memory CD4+ T cells CM donor fraction, normalised EM donor fraction, normalised Age (weeks)Age (weeks)Age (weeks) Age (weeks)Age (weeks)Age (weeks) bone marrowhost Time HSC THYMUS PERIPHERY B C D 108 107 106 109 106 105 104 107 106 105 107 108 10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700 10 20 30 40 50 60 70010 20 30 40 50 60 700 10 20 30 40 50 60 700 105 103 10 107 105 103 10 107 105 103 10 107 Clean Clean Dirty Dirty Clean Dirty Clean Dirty Clean Dirty Clean Clean Dirty 1.00 λ λ γ Mfast(t) Mslo w(t) λfast λslo w S(t) Precursor population (source) Net loss rate Net loss rates Transition rate Force of recruitment ϕλ B S(t) M(t) ϕS(t) λ 1/λ ϕ λ M (t) γ λ < λ Force of recruitment into memory per source cell per day, Net los with Central memory CD4 Centr memory Effector memory CD4 0.010 0.1 0.01 1 0.005 0.005 0 A B 0.001 0.0001 Clean Dirty _ ϕ −1
  • 21. Input at steady state is insensitive to environment Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment 1. input 3. turnover 2. input
  • 22. What about establishing memory ? Q. How does memory generation during ontogeny compare with steady state ? Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment 1. input 3. turnover 2. input
  • 23. Q. Can rates of memory generation in adult predict ontogeny of memory ? 0 10 Age (weeks) 20 0 10 Age (weeks) 20 0 10 Age (weeks) 20 0 10 Age (weeks) 20 0 10 Age (weeks) 20 Central memory CD4+ T cells in clean mice Effector memory CD4+ T cells in clean mice Central memory CD4+ T cells in dirty mice Effector memory CD4+ T cells in dirty mice B C 103 107 106 105 104 103 107 106 105 104 103 107 106 105 104 103 107 106 105 104 106 105 Chimeras Predicted trajectory WT Chimeras Predicted trajectory WT WT Chimeras Chimeras Predicted trajectory Predicted trajectory S(t) 0 10 Age (weeks) 20 0 10 Age (weeks) 20 0 10 Age (weeks) 20 Naive CD4+ T cells in clean WT mice Central memory CD4+ T cells in clean mice Effector memory CD4+ T cells in clean mice Central memory CD4+ T cells in dirty mice Effector memory CD4+ T cells in dirty mice A B 103 107 106 105 104 103 107 106 105 104 108 107 106 105 Chimeras Predicted trajectory WT Chimeras Predicted trajectory WT WT input : 𝜑 clean 𝜑 dirty Larger memory populations in dirty mice derive from early antigen exposure
  • 24. How does environment influence memory ontogeny ? Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment 1. input 3. turnover 2. input GF vs SPF vs UCL vs NIMR
  • 25. A role for micro-biome in establishment of memory ? … but also a role for spMHC signals to establish memory ? Counts (Spleen + lymph nodes) % Ki67 expression % Ki67 expression Counts (Spleen + lymph nodes) Chim eraNIM RW T NIM R Chim eraUCL SPFOxfordGFOxford W T UCL Chim eraNIM RW T NIM R Chim eraUCL SPFOxfordGFOxford W T UCL 1 x 10 6 1.5 x 10 6 Dirty Dirty Clean Clean 5 x 10 5 0 6 x 10 6 8 x 10 6 2 x 10 6 0 4 x 10 6 Dirty Clean ND Clean 40 60 40 60 Central memory CD4+ T cells Effector memory CD4+ T cells A B
  • 26. Does chronic microbiome exposure drive turnover ? Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment 1. input 3. turnover 2. input Measure Ki67 as indicator of cell division
  • 27. Turnover of memory cells insensitive to environment 0 100 200 300 400 0 20 40 60 80 100 mouse age (days) %Ki67+ve NIMR UCL Germ Free
  • 28. Intrinsic and extrinsic antigens shape memory compartments Age Memorycellnumber Establishment of the memory compartment Maintenance of the memory compartment input turnover input spMHC microbiome
  • 29. Acknowledgements Benedict Seddon Thea Hogan Melissa Verheijen Fiona Powrie Claire Pearson Andrew Yates Sanket Rane Maria Nowicka Graeme Gossel Daniel Cownden Edward Lee