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BACKGROUND	
  
•  During	
  aging,	
  the	
  immune	
  system	
  becomes	
  less	
  ef5icient	
  in	
  
deterring	
  invaders,	
  infections,	
  and	
  disease.	
  	
  
•  It	
  is	
  currently	
  known	
  that	
  aging	
  of	
  hematopoietic	
  stem	
  cells	
  
(HSCs)	
  leads	
  to	
  an	
  increased	
  production	
  of	
  myeloid	
  cells	
  and	
  
a	
  decreased	
  production	
  of	
  T	
  and	
  B	
  cells.	
  How	
  this	
  clonal	
  
phenotype	
  arises	
  remains	
  inconclusive.	
  	
  
•  To	
  better	
  understand	
  the	
  aging	
  process	
  ,	
  it	
  is	
  important	
  to	
  
examine	
  the	
  clonal	
  behavior	
  of	
  the	
  heterogeneous	
  stem	
  cell	
  
population	
  over	
  time.	
  
Tracking	
  Hematopoietic	
  Stem	
  Cells	
  in	
  vivo	
  Over	
  Time	
  
Keck	
  School	
  of	
  Medicine	
  of	
  USC	
  
Mike	
  Chin,	
  Rong	
  Lu	
  
METHODS	
  
Figure	
  1.	
  Genetic	
  barcoding	
  and	
  
tracking	
  of	
  HSC	
  clones	
  in	
  vivo.	
  
Donor	
  HSCs	
  were	
  isolated	
  from	
  the	
  
bone	
  marrow	
  of	
  mice.	
  HSCs	
  (ckit+/
lineage(CD3,CD4,	
  
CD8,B220,Gr1,Mac1,Ter119)-­‐
Sac1+/CD34-­‐/CD150+/Flk2-­‐)	
  were	
  
infected	
  with	
  a	
  lentiviral	
  vector	
  so	
  
that	
  each	
  HSC	
  received	
  a	
  unique	
  
barcode.	
  Mice	
  were	
  lethally	
  
irradiated	
  and	
  transplanted	
  with	
  
barcoded	
  HSCs.	
  	
  Peripheral	
  blood	
  
was	
  collected	
  from	
  recipient	
  mice	
  
at	
  several	
  time	
  points	
  over	
  1	
  year.	
  
Genomic	
  DNA	
  from	
  granulocytes,	
  B,	
  
CD4T,	
  and	
  CD8T	
  cells	
  were	
  
quanti5ied	
  with	
  high	
  throughput	
  
sequencing.	
   	
  	
  
Figure	
  2.	
  HSC	
  production	
  changes	
  over	
  time.	
  The	
  proportion	
  
of	
  granulocytes,	
  B,	
  CD4T,	
  and	
  CD8T	
  cells	
  relative	
  to	
  total	
  number	
  
of	
  white	
  blood	
  cells	
  was	
  examined	
  on	
  Day	
  61,	
  117,	
  297,	
  362.	
  	
  
Myeloid	
  production	
  is	
  seen	
  to	
  increase	
  while	
  lymphoid	
  
production	
  is	
  seen	
  to	
  decrease	
  over	
  these	
  4	
  time	
  points.	
  
BLOOD	
  PRODUCTION	
  OVER	
  TIME	
  
REFERENCES	
  	
  
Lu	
  R,	
  Neff	
  NF,	
  Quake	
  SR,	
  Weissman	
  IL.	
  (2011)	
  Tracking	
  single	
  hematopoieCc	
  stem	
  cells	
  in	
  vivo	
  using	
  
	
  high-­‐throughput	
  sequencing	
  in	
  conjuncCon	
  with	
  viral	
  geneCc	
  barcoding.	
  Nat	
  Biotechnol.	
  29,	
  
	
  928-­‐33.	
  
Leventhal	
  J,	
  Miller	
  J,	
  Abecassis	
  M,	
  Tollerud	
  DJ,	
  Ildstad	
  ST.	
  (2013)	
  Evolving	
  approachs	
  to	
  
hematopoieCc	
   	
  stem	
  cell-­‐based	
  therapies	
  to	
  	
  induce	
  tolerance	
  to	
  organ	
  transplants:	
  the	
  long	
  
road	
  to	
   	
  tolerance.	
  Clin.	
  Pharmacol	
  Ther.	
  93,	
  36-­‐45.	
  
Weissman	
  IL,	
  Shizuru	
  JA.	
  (2008)	
  The	
  origins	
  of	
  the	
  idenCficaCon	
  and	
  isolaCon	
  of	
  hematopoieCc	
  stem	
  
	
  cells,	
  and	
  their	
  capability	
  to	
   	
  induce	
  donor-­‐specific	
  transplantaCon	
  tolerance	
  and	
  treat	
  
	
  autoimmune	
  diseases.	
  Blood.	
  112,	
  3543-­‐53.	
  
F	
  	
  
Median	
  Percentage	
  
Figure	
  3.	
  Lineage	
  bias	
  of	
  HSC	
  clones	
  varies	
  over	
  time.	
  	
  (A-­‐D)	
  
Proportion	
  of	
  granulocyte,	
  B,	
  CD4T,	
  CD8T	
  clones	
  from	
  irradiated	
  recipients	
  
on	
  days	
  61,	
  117,	
  297,	
  362	
  were	
  examined	
  for	
  clonal	
  lineage	
  bias.	
  	
  Lineage-­‐
biased	
  clones	
  are	
  de5ined	
  as	
  those	
  whose	
  relative	
  copy	
  numbers	
  in	
  one	
  
lineage	
  are	
  more	
  than	
  2.4142	
  (cotangent	
  22.5	
  degree)	
  times	
  their	
  relative	
  
copy	
  numbers	
  in	
  the	
  other	
  lineage.	
  	
  (E-­‐H)	
  Histograms	
  indicate	
  clonal	
  
lineage	
  bias	
  behavior	
  over	
  time.	
  Clones	
  are	
  assigned	
  a	
  score	
  from	
  -­‐1.0	
  to	
  
1.0,	
  indicating	
  the	
  relative	
  bias.	
  	
  
Figure	
  4.	
  Dominant	
  clone	
  production	
  varies	
  with	
  cell	
  
type	
  over	
  time.	
  	
  (A-­‐B)	
  Clonal	
  dominance	
  is	
  de5ined	
  as	
  the	
  
percentage	
  of	
  a	
  cell	
  population	
  contributed	
  by	
  the	
  top	
  3	
  or	
  
top	
  5	
  most	
  abundant	
  clones.	
  	
  Averages	
  for	
  top	
  clones	
  are	
  
plotted	
  for	
  all	
  cell	
  types	
  over	
  days	
  61,	
  117,	
  297,	
  and	
  362.	
  
(C)	
  Heat	
  map	
  examining	
  clonal	
  contribution	
  over	
  time	
  for	
  
each	
  cell	
  type.	
  Each	
  horizontal	
  line	
  represents	
  a	
  clone.	
  
Bright	
  red	
  indicates	
  high	
  clonal	
  production.	
  
0	
  
20	
  
40	
  
60	
  
80	
  
Granulocyte	
  Bias	
   Balance	
   CD8T	
  Bias	
  
Clonal	
  ComposiCon	
  (%)	
  
*
**
*
0	
  
20	
  
40	
  
60	
  
80	
  
100	
  
CD4T	
  Bias	
   	
  Balance	
  	
   CD8T	
  Bias	
  
***
***
***
***
***
***
*
*
Gr	
  Bias	
   B	
  Bias	
  
D61	
   D117	
   D297	
   D362	
  
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
60	
  
Granulocyte	
  	
   B	
   CD4	
  T	
   CD8T	
  
Blood	
  composiCon(%)	
  
***
***
**
***
***
***
**
**
***
**
****
***
**
Median	
  Percentage	
  Median	
  Percentage	
  Median	
  Percentage	
  
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
Granulocyte	
  
Biased	
  
Balance	
   B	
  Cell	
  Biased	
  	
  
Clonal	
  ComposiCon	
  (%)	
  
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
60	
  
70	
  
Granulocyte	
  Bias	
   	
  Balance	
  	
   CD4T	
  Bias	
  
*
*
Gr	
  Bias	
   B	
  Bias	
   Gr	
  Bias	
   B	
  Bias	
   Gr	
  Bias	
   B	
  Bias	
  
C	
  	
  
CLONAL	
  LEVEL	
  LINEAGE	
  BIAS	
   CLONAL	
  DOMINANCE	
  
H	
  	
  
G	
  	
  
E	
  	
  
A	
  	
  
D	
  	
  C	
  	
  
B	
  	
  
Gr	
  Bias	
   CD4T	
  Bias	
   Gr	
  Bias	
   CD4T	
  Bias	
   Gr	
  Bias	
   CD4T	
  Bias	
   Gr	
  Bias	
   CD4T	
  Bias	
  
Gr	
  Bias	
   CD8T	
  Bias	
   Gr	
  Bias	
   CD8T	
  Bias	
   Gr	
  Bias	
   CD8T	
  Bias	
   Gr	
  Bias	
   CD8T	
  Bias	
  
CD4T	
  Bias	
   CD8T	
  Bias	
   CD4T	
  Bias	
   CD8T	
  Bias	
   CD4T	
  Bias	
   CD8T	
  Bias	
  CD4T	
  Bias	
   CD8T	
  Bias	
  
A	
  	
  
cv	
  
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
D61	
   D117	
   D297	
   D362	
  
Clonal	
  ComposiCon	
  (%)	
  
*
*
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
60	
  
70	
  
D61	
   D117	
   D297	
   D362	
  
*
*
TOP	
  3	
  	
   TOP	
  5	
  	
  
D61	
   D117	
   D297	
   D362	
   D61	
   D117	
   D297	
   D362	
   D61	
   D117	
   D297	
   D362	
   D61	
   D117	
   D297	
   D362	
  
Granulocyte	
   CD4T	
  	
  B	
  	
   CD8T	
  	
  
D61	
   D117	
   D297	
   D362	
  
D61	
   D117	
   D297	
   D362	
  
D61	
   D117	
   D297	
   D362	
  
B	
  	
  
cv	
  

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tri insti poster

  • 1. BACKGROUND   •  During  aging,  the  immune  system  becomes  less  ef5icient  in   deterring  invaders,  infections,  and  disease.     •  It  is  currently  known  that  aging  of  hematopoietic  stem  cells   (HSCs)  leads  to  an  increased  production  of  myeloid  cells  and   a  decreased  production  of  T  and  B  cells.  How  this  clonal   phenotype  arises  remains  inconclusive.     •  To  better  understand  the  aging  process  ,  it  is  important  to   examine  the  clonal  behavior  of  the  heterogeneous  stem  cell   population  over  time.   Tracking  Hematopoietic  Stem  Cells  in  vivo  Over  Time   Keck  School  of  Medicine  of  USC   Mike  Chin,  Rong  Lu   METHODS   Figure  1.  Genetic  barcoding  and   tracking  of  HSC  clones  in  vivo.   Donor  HSCs  were  isolated  from  the   bone  marrow  of  mice.  HSCs  (ckit+/ lineage(CD3,CD4,   CD8,B220,Gr1,Mac1,Ter119)-­‐ Sac1+/CD34-­‐/CD150+/Flk2-­‐)  were   infected  with  a  lentiviral  vector  so   that  each  HSC  received  a  unique   barcode.  Mice  were  lethally   irradiated  and  transplanted  with   barcoded  HSCs.    Peripheral  blood   was  collected  from  recipient  mice   at  several  time  points  over  1  year.   Genomic  DNA  from  granulocytes,  B,   CD4T,  and  CD8T  cells  were   quanti5ied  with  high  throughput   sequencing.       Figure  2.  HSC  production  changes  over  time.  The  proportion   of  granulocytes,  B,  CD4T,  and  CD8T  cells  relative  to  total  number   of  white  blood  cells  was  examined  on  Day  61,  117,  297,  362.     Myeloid  production  is  seen  to  increase  while  lymphoid   production  is  seen  to  decrease  over  these  4  time  points.   BLOOD  PRODUCTION  OVER  TIME   REFERENCES     Lu  R,  Neff  NF,  Quake  SR,  Weissman  IL.  (2011)  Tracking  single  hematopoieCc  stem  cells  in  vivo  using    high-­‐throughput  sequencing  in  conjuncCon  with  viral  geneCc  barcoding.  Nat  Biotechnol.  29,    928-­‐33.   Leventhal  J,  Miller  J,  Abecassis  M,  Tollerud  DJ,  Ildstad  ST.  (2013)  Evolving  approachs  to   hematopoieCc    stem  cell-­‐based  therapies  to    induce  tolerance  to  organ  transplants:  the  long   road  to    tolerance.  Clin.  Pharmacol  Ther.  93,  36-­‐45.   Weissman  IL,  Shizuru  JA.  (2008)  The  origins  of  the  idenCficaCon  and  isolaCon  of  hematopoieCc  stem    cells,  and  their  capability  to    induce  donor-­‐specific  transplantaCon  tolerance  and  treat    autoimmune  diseases.  Blood.  112,  3543-­‐53.   F     Median  Percentage   Figure  3.  Lineage  bias  of  HSC  clones  varies  over  time.    (A-­‐D)   Proportion  of  granulocyte,  B,  CD4T,  CD8T  clones  from  irradiated  recipients   on  days  61,  117,  297,  362  were  examined  for  clonal  lineage  bias.    Lineage-­‐ biased  clones  are  de5ined  as  those  whose  relative  copy  numbers  in  one   lineage  are  more  than  2.4142  (cotangent  22.5  degree)  times  their  relative   copy  numbers  in  the  other  lineage.    (E-­‐H)  Histograms  indicate  clonal   lineage  bias  behavior  over  time.  Clones  are  assigned  a  score  from  -­‐1.0  to   1.0,  indicating  the  relative  bias.     Figure  4.  Dominant  clone  production  varies  with  cell   type  over  time.    (A-­‐B)  Clonal  dominance  is  de5ined  as  the   percentage  of  a  cell  population  contributed  by  the  top  3  or   top  5  most  abundant  clones.    Averages  for  top  clones  are   plotted  for  all  cell  types  over  days  61,  117,  297,  and  362.   (C)  Heat  map  examining  clonal  contribution  over  time  for   each  cell  type.  Each  horizontal  line  represents  a  clone.   Bright  red  indicates  high  clonal  production.   0   20   40   60   80   Granulocyte  Bias   Balance   CD8T  Bias   Clonal  ComposiCon  (%)   * ** * 0   20   40   60   80   100   CD4T  Bias    Balance     CD8T  Bias   *** *** *** *** *** *** * * Gr  Bias   B  Bias   D61   D117   D297   D362   0   10   20   30   40   50   60   Granulocyte     B   CD4  T   CD8T   Blood  composiCon(%)   *** *** ** *** *** *** ** ** *** ** **** *** ** Median  Percentage  Median  Percentage  Median  Percentage   0   10   20   30   40   50   Granulocyte   Biased   Balance   B  Cell  Biased     Clonal  ComposiCon  (%)   0   10   20   30   40   50   60   70   Granulocyte  Bias    Balance     CD4T  Bias   * * Gr  Bias   B  Bias   Gr  Bias   B  Bias   Gr  Bias   B  Bias   C     CLONAL  LEVEL  LINEAGE  BIAS   CLONAL  DOMINANCE   H     G     E     A     D    C     B     Gr  Bias   CD4T  Bias   Gr  Bias   CD4T  Bias   Gr  Bias   CD4T  Bias   Gr  Bias   CD4T  Bias   Gr  Bias   CD8T  Bias   Gr  Bias   CD8T  Bias   Gr  Bias   CD8T  Bias   Gr  Bias   CD8T  Bias   CD4T  Bias   CD8T  Bias   CD4T  Bias   CD8T  Bias   CD4T  Bias   CD8T  Bias  CD4T  Bias   CD8T  Bias   A     cv   0   10   20   30   40   50   D61   D117   D297   D362   Clonal  ComposiCon  (%)   * * 0   10   20   30   40   50   60   70   D61   D117   D297   D362   * * TOP  3     TOP  5     D61   D117   D297   D362   D61   D117   D297   D362   D61   D117   D297   D362   D61   D117   D297   D362   Granulocyte   CD4T    B     CD8T     D61   D117   D297   D362   D61   D117   D297   D362   D61   D117   D297   D362   B     cv