Content uploaded by Nicholas M. Barnes
Author content
All content in this area was uploaded by Nicholas M. Barnes on Sep 03, 2015
Content may be subject to copyright.
doi:10.1182/blood-2007-01-069302
2007 109: 3130-3131
John Gordon and Nicholas M. Barnes
Serotonin: a real blast for T cells
http://bloodjournal.hematologylibrary.org/content/109/8/3130.full.html
Updated information and services can be found at:
http://bloodjournal.hematologylibrary.org/site/misc/rights.xhtml#repub_requests
Information about reproducing this article in parts or in its entirety may be found online at:
http://bloodjournal.hematologylibrary.org/site/misc/rights.xhtml#reprints
Information about ordering reprints may be found online at:
http://bloodjournal.hematologylibrary.org/site/subscriptions/index.xhtml
Information about subscriptions and ASH membership may be found online at:
Copyright 2011 by The American Society of Hematology; all rights reserved.
Washington DC 20036.
by the American Society of Hematology, 2021 L St, NW, Suite 900,
Blood (print ISSN 0006-4971, online ISSN 1528-0020), is published weekly
For personal use only. by guest on November 9, 2012. bloodjournal.hematologylibrary.orgFrom
understood. Similarly, the application of
genomic technologies for identi�?cation of
novel, functionally-important platelet genes
and proteins remains a high priority.
2
Raslova and colleagues describe cellular
mRNA pro�?ling to speci�?cally dissect genetic
changes occurring during an in vitro model of
megakaryocyte differentiation and ploidiza-
tion. Cells were flow-sorted by modal ploidy,
and gene changes were compared between 2
cellular subsets: aggregate 2N⫹4N MKs ver-
sus aggregate 8N⫹16N MKs. Of interest,
transcript changes were limited to approxi-
mately 350 genes across all the subsets, 106 of
which were consistently down-regulated and
248 of which were consistently up-regulated
between the 2 groups. Further analysis high-
lighted additional differences between the
up-regulated and down-regulated subsets;
speci�?cally, members of the latter subset not
infrequently (24/105) corresponded to genes
involved in DNA replication (arrest) and re-
combination repair, while a majority of the
former corresponded to genes important to
platelet biogenesis, viability, and function (ie,
actin and microtubule cytoskeleton, glycopro-
teins, and signaling/transport proteins). It is
important to note, however, that when the
gene subsets are carefully analyzed by gene
ontology functional classi�?cation, consider-
able overlap exists between these 2 groups,
confounding detailed interpretations. None-
theless, the data do support a role of ploidiza-
tion in modulating gene expression, although a
direct, regulatory role in platelet biogenesis
remains speculative.
The study by Macaulay and colleagues
adapts a nearly-identical in vitro strategy of
MK differentiation, coupled with a bioinfor-
matic strategy to speci�?cally identify novel
transmembrane domain– containing MK re-
ceptor proteins. An initial gene list of 151 tran-
scripts was assembled using paired, com-
parative expression pro�?ling with CD34
⫹
-
differentiated erythroblasts, and the list fur-
ther pared using strict criteria to identify puta-
tive, functionally-relevant platelet proteins.
Five of 8 highly-selected genes were charac-
terized by transcript and protein expression
studies, 3 of which were shown to be platelet
restricted (G6b, G6f, and LRRC32), and an-
other of which (SUCNR1) encoded the G
protein– coupled succinate receptor.
3
More
detailed functional studies established that
succinate (a key component of the citric acid
cycle) exhibited costimulatory effects on plate-
let aggregation induced by various platelet
agonists (adenosine diphosphate, thrombin
receptor activating peptide, and a glycoprotein
VI–speci�?c collagen peptide). The latter func-
tional data are especially insightful in that
they identify a novel, cocoupling signal trans-
duction pathway in platelets, while opening
new avenues of research linked to platelet
hyperreactivity.
4
While both study designs overlap in their
initial in vitro differentiation strategies using
megakaryocytes, the conclusions, future direc-
tions, and ability to compare data sets are dis-
tinct and limited. One restriction inherent in
cross-experimental microarray data-sharing is
the disparate platforms used among investiga-
tors, well exempli�?ed in these studies, that
used nonoverlapping oligonucleotide or
cDNA probe sets for their analyses.
5,6
This
limitation does not minimize results, although
it emphasizes the importance of validation
strategies of transcript differences initially
identi�?ed by microarray. The identi�?cation of
a costimulatory succinate receptor on platelets
represents a discrete end product of integrated
MK transcriptomic studies, coupled with a
concrete hypothesis and sophisticated experi-
mental design to characterize novel functional
receptors. Likewise, the application of mi-
croarray technology to dissect MK ploidiza-
tion is highly novel, and although the results
are less focused in scope, they are likely to
yield broader implications in the foreseeable
future. Finally, such unique data sets open up
exciting opportunities for sophisticated data
mining likely to provide unexpected insights
into molecular mechanisms of MK and plate-
let function.
7
The author declares no competing �?nancial
interests. â–
REFERENCES
1. Wright JH. The origin and nature of blood platelets.
Boston Med Surg J. 1906;154:643-645.
2. Gnatenko DV, Dunn JJ, McCorkle SR, Weissmann D,
Perrotta PL, Bahou WF. Transcript pro�?ling of human
platelets using microarray and serial analysis of gene expres-
sion. Blood. 2003;101:2285-2293.
3. He W, Miao FJ, Lin DC, et al. Citric acid cycle interme-
diates as ligands for orphan G-protein-coupled receptors.
Nature. 2004;429:188-193.
4. Boos CJ, Lip GY. Platelet activation and cardiovascular
outcomes in acute coronary syndromes. J Thromb Hae-
most. 2006;4:2542-2543.
5. Brazma A, Hingamp P, Quackenbush J, et al. Minimum
information about a microarray experiment (MIAME)-
toward standards for microarray data. Nat Genet.
2001;29:365-371.
6. Gnatenko DV, Perrotta PL, Bahou WF. Proteomic ap-
proaches to dissect platelet function: half the story. Blood.
2006;108:3983-3991.
7. Denis MM, Tolley ND, Bunting M, et al. Escaping the
nuclear con�?nes: signal-dependent pre-mRNA splicing in
anucleate platelets. Cell. 2005;122:379-391.
�? �? �? IMMUNOBIOLOGY
Comment on Leo´n-Ponte et al, page 3139
Serotonin: a real blast for T cells
----------------------------------------------------------------------------------------------------------------
John Gordon and Nicholas M. Barnes UNIVERSITY OF BIRMINGHAM MEDICAL SCHOOL
Mouse T lymphocytes unexpectedly produce the classic neurotransmitter seroto-
nin, which— upon binding the constitutively expressed 5-HT
7
G
s
-coupled recep-
tor-subtype—signals ERK1/2 phosphorylation and NF�?�B activation to boost
their stimulation.
S
erotonin/5-hydroxytryptamine (5-HT),
often perceived as the brain’s “happy
chemical,�? is—increasingly—assuming a
prominent role in immune regulation. In fact,
this “neurotransmitter�? is primarily a product
of the periphery, with gut enterochromaf�?n
cells the principal factories. Intestinal lympho-
cytes could certainly be exposed directly to
their output, though platelets are typically
proffered as the source of the monoamine
within the immune system: these 5-HT–
loaded reservoirs delivering their potent cargo
at sights of inflammation and immunologic
reactivity.
1,2
In this issue of Blood, Leo´n-Ponte and col-
leagues not only consolidate serotonin’s im-
portance to T-cell activation but also tender a
paradigm whereby the monoamine is provided
by the immune cell itself. Critical to any out-
come from 5-HT exposure—whether the
source be autocrine or paracrine—is a capacity
for target cells to sense the monoamine. This
could be via the serotonin transporter (SERT)
or one or more of 14 receptor subtypes (13 in
3130 15 APRIL 2007 I VOLUME 109, NUMBER 8
blood
For personal use only. by guest on November 9, 2012. bloodjournal.hematologylibrary.orgFrom
rodents).
1,2
Using reverse transcription–poly-
merase chain reaction (RT-PCR), the authors
ruled out SERT and all but 3 receptor sub-
types: only 5-HT
1B
, 5-HT
2A
, and 5-HT
7
re-
ceptors remaining to deliver the 5-HT hit.
While not excluding contributions from
5-HT
1B
and 5-HT
2A
receptors, the authors
homed in on 5-HT
7
as the major player: this
7-transmembrane domain G protein– coupled
receptor (GPCR) assisted T-cell stimulation
by promoting ERK1/2 phosphorylation and
canonical NF�?�B activation. Not only were the
authors able to attenuate 5-HT– dependent
change with a selective 5-HT
7
receptor antag-
onist but, by using a 5-HT
7
receptor agonist,
were able to reverse otherwise defective T-cell
stimulation arising as a consequence of having
blocked tryptophan hydroxylase (TPH), the
rate-limiting enzyme in the conversion of
tryptophan to 5-HT. Tryptophan is also the
catabolic substrate for indolamine-2,3-dioxy-
genase (IDO), and the relative abundance/
activity of TPH, IDO, and, additionally, me-
tabolizing monoamine oxidases (MAOs) could
determine 5-HT output from immune cells.
While the present study marks a signi�?cant
advance, the authors themselves address
seeming inconsistencies between this and iso-
lated reports on the relative importance of
individual 5-HT receptor subtypes to T-cell
function, and rightly posit additional ques-
tions. Issues include strain and species differ-
ences, tissue and subset heterogeneity, and
methodological concerns.
Few studies have attempted such an exten-
sive survey of an immune cell’s 5-HT receptor
repertoire as the one here. The table summarizes
and compares the study’s salient features with 3
others of merit: a pioneering study on rat spleno-
cytes
3
and, from Idzko and colleagues, separate
analyses of receptor subtype distribution on hu-
man dendritic cells (Idzko et al
4
) and monocytes
(Durk et al
5
). Of the discordant and common
themes, the near-universal expression of 5-HT
7
receptors—irrespective of cell type or animal
species—is striking. A built-in knowledge of the
pharmacology and signaling properties of 5-HT
receptors (see table), driven by and gained
largely through their contribution to CNS path-
ways, holds promise for the ready translation of
5-HT receptor therapeutics to immunology and
hematology clinics once a more robust integra-
tion of their place in immune physiology—and
pathology— has been secured.
The authors are directors and cofounders of
Celentyx Ltd, a spinout company whose activities
include the pro�?ling of serotonergic compounds
against immune cells. â–
REFERENCES
1. Meredith EJ, Chamba A, Holder MJ, et al. Close en-
counters of the monoamine kind: immune cells betray their
nervous disposition. Immunology. 2005;115:289-295.
2. Gordon J, Barnes NM. Lymphocytes transport seroto-
nin and dopamine: agony or ecstasy? Trends Immunol.
2003;24:438-443.
3. Stefulj J, Jernej B, Cicin-Sain L, et al. mRNA expression
of serotonin receptors in cells of the immune tissues of the
rat. Brain Behav Immun. 2000;14:219-224.
4. Idzko M, Panther E, Stratz C, et al. The serotoninergic
receptors of human dendritic cells: identi�?cation and cou-
pling to cytokine release. J Immunol. 2004;172:6011-6019.
5. Durk T, Panther E, Muller T, et al. 5-Hydroxytrypta-
mine modulates cytokine and chemokine production in
LPS-primed human monocytes via stimulation of different
5-HTR subtypes. Int Immunol. 2005;17:599-606.
�? �? �? NEOPLASIA
Comment on Zhao et al, page 3432
The CBFB-MYH11 butterfly effect
in hematopoiesis
----------------------------------------------------------------------------------------------------------------
Andre J. van Wijnen and Gary S. Stein UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL
As the butterfly flaps its wings, so can a small latent change within hematopoietic
cells have major effects on a pathological outcome such as leukemia.
T
he paper by Zhao and colleagues in this
issue of Blood indicts a leukemia-related
chimeric protein for selectively killing one cell
type while sparing another to cause a cell type–
speci�?c disease.
1
The runt-related transcrip-
tion factor 1 (RUNX1/AML1) and its cofac-
tor core-binding factor subunit �?� (CBF�?�) are
essential regulators of hematopoiesis. Genetic
Reported expression of 5-HT receptor transcripts in immune cells. Synthesis of �?ndings from studies by
*Leo´n-Ponte et al in this issue of Blood and from Stefulj et al,
3
Idzko et al,
4
and Durk et al
5
highlighting the
repertoire of 5-HT receptor subtype of mRNA expressed in immune cells. R indicates resting; A, activated; I,
immature; M, mature; Ion chan., ligand-gated ion channel; â´š, negative; â´™, strong signal; and â´ž, weak sig-
nal. §5-HT1B protein increased on activation. ¶Absent from mouse and rat. #Truncated transcript in human.
Illustration by Frank Forney.
blood
15 APRIL 2007 I VOLUME 109, NUMBER 8 3131
For personal use only. by guest on November 9, 2012. bloodjournal.hematologylibrary.orgFrom