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Introduction:
GenePool   (Station  X  Inc)  is  a  Software-­as-­a-­
Service  platform   that  enables   analysis  of  
patient-­derived   genomics   datasets  and   has  
applications  in  research   and  clinical  settings.  
ImmPort   is  a  database  of  immunology   clinical  
studies  funded  by  NIAID.  I  had   three  main  
objectives;;  to  develop  a  protocol   for  making  
ImmPort   data  compatible   with  GenePool,   to  
validate  the  data  by  reproducing   results  of  an  
ImmPort   study  using  GenePool,   and  to  
potentially  identify  new   findings.  I  developed   a  
protocol  for  transforming   ImmPort   data  for  
compatibility   with  GenePool,   which   may  be  
used  to  mirror   the  entire  ImmPort   repository  
within   GenePool.   I  was   able  to  reproduce   some  
key  results  from  the  paper   “Systems  biology  of  
vaccination  for  seasonal  influenza  in  humans”  
by  Nakaya  et  al. (2011)   and  identify  some   novel  
results.
Meta-­Analysis  of  Studies  Investigating  Immune  Response  to  Seasonal  
Influenza  Vaccination
Brittany  Salazar,  San  Francisco,  CA,  Summer  2015
Project  Overview: Acknowledgements
Many  thanks  to  Sandeep  Sanga (Station  X  Inc),  Sanchita Bhatticharya
(UCSF),   and   Ravi  Shankar  (UCSF)  for   their  help  with  the  design  of  my  
project  and  their  helpful  suggestions  for  putting  together  the  
compatibility  protocol..  Thank  you  to  Richard  Goold and  Tod Klingler
and  the  rest  of  the  team  at   Station  X:  Anish,  Jeff,  Edie,  Adin,  and  
Antoanetta
Results:
Nakaya  et  al.  Experimental  Design:
Fig ure 1: Expe rimenta l d esign of t he Nakaya et a l. study (2011). (a) Sche ma tic
representation o f the experimen tal desi gn. Subjec ts were vaccina ted with the T IV
intram uscularly in three flu seasons, one cohor t was vaccinated wi th the L AIV intran asally
during the 2008-­20 09 flu season . Di fferen t assays and statis tical analyses were perfor med to
find molecular markers indicative of vaccine response.
Discussion:
Nakaya   et  al.  found  a  negative  correlation   between  
HAI  response   and  CaMKIV   expression  levels,  and  
positive  correlations  between   HAI   response  and     
members   of  the  LILR   family,  genes  related   to  the  
unfolded   protein  response,  TNFRSF17,   TNFSF13,  
and  CD38.   TNFRSF17,   TNFSF13,   and  CD38   have  
roles  in  B-­cell  development   and  differentiation  – key  
functions  in  the  development   of  adaptive   immunity.   I  
was  able   to  replicate   these  findings   to  a  certain  
extent.  The   authors’  findings  regarding   CaMKIV  
suggested  to  them  that  CaMKIV   plays  a  role  in  B-­cell  
differentiation,  however,   my  analysis  revealed   a  
modest   at  best  correlation  between   CaMKIV   levels  
and  HAI   response.  I  found  the  correlation   between  
TXNDC5   and   HAI  response   to  be  more   significant,  
however,   TXNDC5   seems  to  play  a  less  obvious  role  
in  the  development   of  immunity.   Additionally,   I  was  
successful  in  creating  a  protocol  for  adapting  ImmPort  
data  for  compatibility  with   GenePool.
References:
Nakaya,  H.I.,  Wrammert,  J.,  Lee,  E.K.,  Racioppi,  L.,  Marie-­Kunze,  S.,  Haining,  
W.N.,  Means,  A.R.,  Kasturi,  S.P.,  Khan,  N.,  Li,  G.M.,  et  al. (2011).  Systems  
biology  of  vaccination  for  seasonal  influenza  in  humans.  Nat  Immunol 12,  786-­
795.
a
b
Fig ure 2: Gene ex press ion thr ee days p ost vac cin atio n wit h TIV. G enePool software was
used to asses the expression levels o f various genes three days post vaccina tion w ith TIV.
Blue bars in dividuals wi th l ow H AI response– indica ting a p oor vaccine response – green b ars
indicate hi gh HAI responders. (a) levels o f Calciu m/cal modu lin depende nt kinase IV. Nakaya
et al . found a s tatistical ly signi ficant nega tive correla tion be tween C aM KIV expression and
HAI response. Here, that di fference seems less sign ifican t as ind icated by a high p-­value
(p>0.05) and th e b ar graph . (b) levels o f T XNDC5. Expression differences o f th is g ene seem
to be more statistically significant based on the low p-­value (p<0.005) and the bar graph.

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SalazarPoster

  • 1. Introduction: GenePool   (Station  X  Inc)  is  a  Software-­as-­a-­ Service  platform   that  enables   analysis  of   patient-­derived   genomics   datasets  and   has   applications  in  research   and  clinical  settings.   ImmPort   is  a  database  of  immunology   clinical   studies  funded  by  NIAID.  I  had   three  main   objectives;;  to  develop  a  protocol   for  making   ImmPort   data  compatible   with  GenePool,   to   validate  the  data  by  reproducing   results  of  an   ImmPort   study  using  GenePool,   and  to   potentially  identify  new   findings.  I  developed   a   protocol  for  transforming   ImmPort   data  for   compatibility   with  GenePool,   which   may  be   used  to  mirror   the  entire  ImmPort   repository   within   GenePool.   I  was   able  to  reproduce   some   key  results  from  the  paper   “Systems  biology  of   vaccination  for  seasonal  influenza  in  humans”   by  Nakaya  et  al. (2011)   and  identify  some   novel   results. Meta-­Analysis  of  Studies  Investigating  Immune  Response  to  Seasonal   Influenza  Vaccination Brittany  Salazar,  San  Francisco,  CA,  Summer  2015 Project  Overview: Acknowledgements Many  thanks  to  Sandeep  Sanga (Station  X  Inc),  Sanchita Bhatticharya (UCSF),   and   Ravi  Shankar  (UCSF)  for   their  help  with  the  design  of  my   project  and  their  helpful  suggestions  for  putting  together  the   compatibility  protocol..  Thank  you  to  Richard  Goold and  Tod Klingler and  the  rest  of  the  team  at   Station  X:  Anish,  Jeff,  Edie,  Adin,  and   Antoanetta Results: Nakaya  et  al.  Experimental  Design: Fig ure 1: Expe rimenta l d esign of t he Nakaya et a l. study (2011). (a) Sche ma tic representation o f the experimen tal desi gn. Subjec ts were vaccina ted with the T IV intram uscularly in three flu seasons, one cohor t was vaccinated wi th the L AIV intran asally during the 2008-­20 09 flu season . Di fferen t assays and statis tical analyses were perfor med to find molecular markers indicative of vaccine response. Discussion: Nakaya   et  al.  found  a  negative  correlation   between   HAI  response   and  CaMKIV   expression  levels,  and   positive  correlations  between   HAI   response  and     members   of  the  LILR   family,  genes  related   to  the   unfolded   protein  response,  TNFRSF17,   TNFSF13,   and  CD38.   TNFRSF17,   TNFSF13,   and  CD38   have   roles  in  B-­cell  development   and  differentiation  – key   functions  in  the  development   of  adaptive   immunity.   I   was  able   to  replicate   these  findings   to  a  certain   extent.  The   authors’  findings  regarding   CaMKIV   suggested  to  them  that  CaMKIV   plays  a  role  in  B-­cell   differentiation,  however,   my  analysis  revealed   a   modest   at  best  correlation  between   CaMKIV   levels   and  HAI   response.  I  found  the  correlation   between   TXNDC5   and   HAI  response   to  be  more   significant,   however,   TXNDC5   seems  to  play  a  less  obvious  role   in  the  development   of  immunity.   Additionally,   I  was   successful  in  creating  a  protocol  for  adapting  ImmPort   data  for  compatibility  with   GenePool. References: Nakaya,  H.I.,  Wrammert,  J.,  Lee,  E.K.,  Racioppi,  L.,  Marie-­Kunze,  S.,  Haining,   W.N.,  Means,  A.R.,  Kasturi,  S.P.,  Khan,  N.,  Li,  G.M.,  et  al. (2011).  Systems   biology  of  vaccination  for  seasonal  influenza  in  humans.  Nat  Immunol 12,  786-­ 795. a b Fig ure 2: Gene ex press ion thr ee days p ost vac cin atio n wit h TIV. G enePool software was used to asses the expression levels o f various genes three days post vaccina tion w ith TIV. Blue bars in dividuals wi th l ow H AI response– indica ting a p oor vaccine response – green b ars indicate hi gh HAI responders. (a) levels o f Calciu m/cal modu lin depende nt kinase IV. Nakaya et al . found a s tatistical ly signi ficant nega tive correla tion be tween C aM KIV expression and HAI response. Here, that di fference seems less sign ifican t as ind icated by a high p-­value (p>0.05) and th e b ar graph . (b) levels o f T XNDC5. Expression differences o f th is g ene seem to be more statistically significant based on the low p-­value (p<0.005) and the bar graph.