Originally published In Press as doi:10.1074/jbc.M108598200 on November 1, 2001
J. Biol. Chem., Vol. 277, Issue 6, 4465-4476, February 8, 2002
Identification of Novel Targets of Immunosuppressive Agents by
cDNA-based Microarray Analysis*
Anthony D.
Cristillo and
Barbara E.
Bierer
From the Laboratory of Lymphocyte Biology, NHLBI, National
Institutes of Health, Bethesda, Maryland, 20892
Received for publication, September 6, 2001, and in revised form, October 29, 2001
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ABSTRACT |
The immunosuppressive agents cyclosporin A
(CsA) and tacrolimus (FK506) bind to unrelated intracellular
immunophilin receptors, cyclophilin (CyP) and FK506-binding protein
(FKBP), respectively. The complexes of CsA·CyP and of
FK506·FKBP both bind to and inhibit the activity of the
calcium/calmodulin-dependent serine/threonine phosphatase
calcineurin. We used cDNA microarray analysis to characterize early
human peripheral blood T cell transcriptional responses following antigen receptor stimulation in the absence or presence of
CsA or FK506, hoping to identify novel targets dependent upon calcineurin or immunophilins or, perhaps, specific targets of either
CyP or FKBP inhibitable by one drug alone. The array data failed to
identify genes uniquely sensitive to only one drug, suggesting that
transcriptionally regulated, immunophilin-dependent but
calcineurin-independent targets fell below the limits of detection in
this system. In contrast, transcript profiling identified and mRNA
and protein analysis confirmed novel as well as known genes reproducibly induced or inhibited by both immunosuppressive agents. In
this context, we show that transcriptional activation of Stat5a and
repression of the cytokine interleukin-16 are regulated by T cell
receptor engagement and dependent upon drug-immunophilin complexes and, presumably, calcineurin activity.
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INTRODUCTION |
The activation of T lymphocytes occurs upon engagement of the T
cell receptor (TcR)1·CD3
complex with peptides embedded within MHC (major histocompatibility complex) proteins presented on antigen presenting cells (1-3). The
complex intracellular signaling pathways stimulated by TcR·CD3 engagement have been extensively studied. Briefly, TcR cross-linking has been shown to induce the aggregation of a number of signaling molecules into a large macromolecular complex that includes members of
the Src-related and Syk/ZAP-70 tyrosine kinase families, adapter proteins (LAT, Grb2, GADS), and serine/threonine and tyrosine protein
kinases and phosphatases (4-8). T cell signaling results in the
phospholipase C-dependent hydrolysis of inositol
3,4,5-trisphosphate that leads inter alia to calcium
(Ca2+) mobilization (9-11). An increase in intracellular
Ca2+, together with calmodulin, activates calcineurin
(phosphatase 2B or PP2B (12)), a serine/threonine phosphatase that is
required for the activation and nuclear translocation of a number of
transcription factors (13-16) including nuclear factor of activated T
cells (NFAT) (17, 18); NFAT activity regulates the transactivation of a number of cytokine and other genes, including interleukin (IL)-2, IL-3,
IL-4, IL-12, inflammatory mediators (e.g. TNF
), and
growth factors (e.g. granulocyte/macrophage
colony-stimulating factor) (19-22). There is considerable evidence to
suggest that calcineurin may have both positive and negative effects on
lymphoid and nonimmune cells and that NFAT is only one of a number of
transcription factors regulated by calcineurin (15, 16, 23).
Widely used in solid organ and stem cell transplantation, cyclosporin A
(CsA), a fungal cyclic undecapeptide, has been shown to bind to a
family of intracellular immunophilin receptors, the cyclophilins (CyP)
(24, 25). Tacrolimus (FK506), an immunosuppressant structurally
unrelated to CsA but with biological properties similar to those of
CsA, was found to bind to members of an intracellular immunophilin
family termed FK506-binding protein (FKBP) (24, 25). The CyP and FKBP
immunophilin families are highly conserved, ubiquitously expressed
proteins that share the ability to catalyze the cis to
trans isomerization of proline residues and are thus thought
to play a role in protein folding and transport (24, 26-28). Although
CsA and FK506 bind to and inhibit the isomerase activity of CyPs and
FKBPs, respectively, it is not the inhibition of this enzymatic
activity that correlates with immunosuppression (29). The complexes of
CsA·CyP and, independently, of FK506·FKBP bind to and inhibit the
activity of the serine/threonine phosphatase calcineurin (30, 31).
We used cDNA-based microarray analysis to obtain a more
comprehensive view of CsA- and FK506-sensitive early genes in purified human peripheral blood T lymphocytes (PBL). The complexity of large-scale gene expression analysis was aided by the use of
simultaneous hybridization using two different cDNA samples each
labeled with a different fluorophore. We reasoned that changes in gene
expression common to both CsA and FK506 treatment would likely be
secondary to inactivation of calcineurin phosphatase activity.
Additionally, perturbations in gene expression unique to one drug alone
would potentially identify specific immunophilin (CyP or
FKBP)-dependent gene targets. We failed to identify
transcripts specifically regulated by only one immunosuppressive agent,
suggesting that immunophilin-dependent, calcineurin-independent gene expression was below the limits of detection of our analysis. However, we did identify a number of CsA-
and FK506-sensitive (and calcineurin-dependent) genes
induced or inhibited following anti-CD3 mAb ligation in the presence of phorbol 12-myristate 13-acetate relative to resting cells. Although a
number of these transcripts are well characterized (e.g.
IL-2 and lymphotactin), the array data suggested a number of novel calcineurin-dependent substrates. Analysis of mRNA
transcription and protein in both CD4+ and CD8+ T cell subpopulations,
used to verify and extend these cDNA microarray results,
demonstrated both induction of Stat5a and inhibition of IL-16, genetic
elements not previously appreciated to be affected by either CsA or
FK506. Hierarchy profiles of these target genes suggested relative
specificity of these drugs.
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EXPERIMENTAL PROCEDURES |
Cells--
Human PBL were isolated from volunteer donors by
apheresis. Cells were then subjected to reverse flow elutriation and
Ficoll-Hypaque centrifugation and washed with 1× phosphate-buffered
saline (PBS). PBL were resuspended in RPMI 1640 (MediaTech, Herndon,
VA) supplemented with 10% heat-inactivated fetal calf serum
(Invitrogen), 2 mM L-glutamine, 10 mM
Hepes, pH7.2, 100 units/ml penicillin, 100 µg/ml streptomycin
(MediaTech), and 50 µM 2-mercaptoethanol (Bio-Rad, Hercules, CA), termed 10% RPMI, and incubated at 37 °C, 5%
CO2-in-air. After overnight incubation, cells were
stimulated as indicated with 10 ng/ml phorbol 12-myristate 13-acetate
(PMA; Calbiochem), 1 µM ionomycin (Calbiochem),
plate-bound (10 µg) or soluble (100 ng/ml) anti-CD3 mAb OKT3
(American Type Culture Collection, Manassas, VA), 1 µg/ml anti-CD28
mAb 9.3 (the kind gift of Carl June, University of Pennsylvania,
Philadelphia). CD4+ and CD8+ T lymphocytes were purified by negative
selection using an indirect magnetic labeling system and the MidiMACSTM
columns (Miltenyi Biotec, Auburn, CA).
RNA Preparation and cDNA Microarray Analysis--
Total RNA
was prepared from resting or stimulated human PBL using
TrizolTM (Invitrogen). Poly(A) mRNA was extracted using
Oligotex mRNA midi-kit (Qiagen, Valencia, CA) and quantitated using
RiboGreenTM RNA quantitation kit (Molecular Probes, Eugene, OR).
cDNA from resting or stimulated, CsA-, FK506-, or ethanol-treated
cells were labeled with Cy3 and Cy5 fluorescent dyes for microarray hybridization. Fluorescently labeled cDNA were hybridized to
UnigemTM version 1.0 human microarrays (IncyteGenomics,
Palo Alto, CA). Data were analyzed using GemToolsTM
software and are expressed as balanced differential.
RT-PCR--
Total RNA was prepared from human PBL using
TrizolTM (Invitrogen) and quantitated using
A260 and a RiboGreenTM RNA quantitation kit (Molecular Probes). mRNA levels were assayed using the Onestep RT-PCR kit (Qiagen) using the following oligonucleotide
purification cartridge purified primers (BioServe Biotechnologies,
Laurel, MD; where F is forward and R is reverse): Stat5a-F,
5'-GAG TCT CAG TTC AGT GTT GGC AGC-3'; Stat5a-R, 5'-AGT CAC TAA AGC GCA
ACA AGA AGG TC-3'; IL-16-F, 5'-TGC TGG TCT TGG GTT CAG CTT GGC-3'; IL-16-R, 5'-GTC CTG CCT AGG AGT CTC CAG CAG-3';
-actin-F, 5'-ATC TGG
CAC CAC ACC TTC TAC AAT GAG CTG CG-3';
-actin-R, 5'-CGT CAT ACT CCT
GCT TGC TGA TCC ACA TCT GC-3'; IL2-F, 5'-CAT TGC ACT AAG TCT TGC ACT
TGT CA-3'; IL2-R, 5' CGT TGA TAT TGC TGA TTA AGT CCC TG-3'.
RT-PCR was performed using the following conditions: 50 °C for 30 min, 95 °C for 15 min, 30 cycles of (i) 94 °C for 1 min, (ii)
55 °C for 1 min, and (iii) 72 °C for 1 min, and 72 °C for 10 min. Samples were analyzed by gel electrophoresis, and bands were
revealed by staining gels with ethidium bromide. Bands were quantitated
by phosphorimaging analysis using ImageQuant software, and mRNA
levels were normalized to
-actin mRNA levels as indicated.
Western Blotting--
After stimulation of human PBL or purified
CD4+ or CD8+ T lymphocytes as indicated, samples were centrifuged at
466 × g for 5 min and washed once with RPMI 1640. Cells were resuspended in lysis buffer (50 mM Tris, pH 7.5, 150 mM NaCl, 1 mM EDTA, pH 8.0, 10 mM NaF, 10 mM sodium pyrophosphate,
Na3VO4, 1% Triton X-100, 1 mM
phenylmethylsulfonyl fluoride, 10 µg/ml aprotinin, 10 µg/ml leupeptin). Samples were incubated for 20 min on ice and then centrifuged at 17,530 × g. The supernatant containing
the post-nuclear lysate was removed, and proteins were separated by
SDS-PAGE (Protogel, National Diagnostics, Atlanta, GA). Electrophoresed
proteins were transferred to polyvinylidene difluoride membranes
(Millipore, Bedford, MA), immunoblotted with a mouse anti-human Stat5a
antibody (clone 89, Transduction Laboratories, Lexington, KY), and
detected by enhanced chemiluminescence (ECL, Amersham Biosciences,
Inc.) according to the manufacturer's instructions.
Enzyme-linked Immunosorbent Assay--
Human CD4+ and CD8+ T
cells were stimulated with PMA (10 ng/ml), PMA + ionomycin (1 µM), anti-CD3 (100 ng/ml) + PMA, or anti-CD3/anti-CD28 (1 µg/ml) + PMA, cells were centrifuged for 5 min at 1500 rpm, and
supernatants were collected to assay for IL-16 protein. 96-well Nunc
immunoplate with MaxiSorpTM surface (Nalge Nunc Int.,
Rochester, NY) were coated with 4 µg/ml mouse anti-human IL-16
antibody (50 µl/well) (clone 14.1, PharMingen, San Diego, CA) and
incubated overnight at 4 °C. Wells were then washed with 1×
PBS and blocked for 2 h with blocking buffer (250 µl/well; 1%
fatty-acid free bovine serum albumin, 10% fetal bovine serum, 10%
calf serum in 1× PBS). Control samples containing known amounts of
human IL-16 were prepared using recombinant human IL-16 (PharMingen).
Sample supernatants (100 µl/well) or recombinant IL-16 standard
controls (100 µl/well) were added to the 96-well plate and then
incubated for 1 h at 37 °C. Wells were washed with 0.02% Tween 20 (in 1× PBS) and then incubated with 0.5 µg/ml
biotinylated goat anti-human IL-16 (100 µl/well; R&D Systems,
Minneapolis, MN) for 1 h at 37 °C. Wells were washed as
described above and then incubated with horseradish
peroxidase-conjugated streptavidin (1:1000; 100 µl/well) for 1 h
at 37 °C. Finally, 3,3',5,5'-tetramethylbenzidine liquid substrate
(100 µl/well, Sigma) was added to each well (10 min) followed by the
addition of 0.5 M sulfuric acid (100 µl/well). The signal
was detected using the Fmax colorimetric plate reader (Molecular Devices).
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RESULTS |
Inhibition of Gene Expression in Activated Human Peripheral Blood T
Cells by Immunosuppressive Agents--
To identify transcriptional
events regulated coordinately or differentially by the
immunosuppressive agents CsA and FK506, we compared resting and
activated human peripheral blood T cells cultured in the presence or
absence of either vehicle or drug. Purified human T cells were
stimulated using immobilized anti-CD3 (pCD3) mAb in concert with PMA,
an agent used to activate classical forms of protein kinase C; each was
used at concentrations and culture conditions known, and previously
optimized, to induce IL-2 production and proliferation of T cells (data
not shown). We isolated poly(A)+-selected RNA from
appropriately cultured cells using standard methods, synthesized
fluorescently Cy5- or Cy3-labeled cDNA from each culture, and
hybridized these to cDNA microarrays using the human Unigem version
1.0 microarray (IncyteGenomics Inc.). The cDNA microarray chosen
represents ~10,000 human cDNA clones representing unique human
genes identified in the NCBI UniGene data base. The distribution of
fluorescence intensity ratios between cDNA prepared from resting
and activated cells and between cDNA from cells activated in the
absence of or in the presence of either CsA or FK506 were compared and
analyzed using standard methodology (Fig.
1). The majority of the genes represented
were not appreciably affected either by the 4-h stimulation or by
incubation with immunosuppressive agents. However, the comparison of
unstimulated to anti-CD3 mAb plus PMA-stimulated cells revealed a
number of genes in which expression was found to be significantly
different (Fig. 1). Of genetic elements induced by anti-CD3 mAb plus
PMA stimulation, ~2000 genes had differential values between 1.0 and
1.9, whereas 76 had values
1.7 and were thus considered induced by T
cell activation. In addition, 105 genes were found to have differential values between 2.0 and 4.9, 13 genes had values between 5.0 and 9.9, and four genes had differential values greater than 10.0. An obvious
advantage of this approach was that well characterized genes
(e.g. IL-2, TNF
, lymphotactin) were identified that
served as robust internal controls. Of genetic elements down-regulated by T cell activation, ~4,500 genes had differential values between
1.0 and
1.9, whereas 140 of them had values
1.7; 112 genes had differential values between
2.0 and
4.9, three genes had values between
5.0 and
9.9, and one gene had a differential value
less than
10.0. Thus, multiple transcriptional events occur during
the very early stages of T cell activation.

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Fig. 1.
Modulation of gene expression
following T cell activation. Human PBL were either unstimulated or
stimulated with plate-bound anti-CD3 mAb (pCD3) plus PMA for
4 h. Total RNA was prepared from human PBL using
TrizolTM as described (see "Experimental Procedures").
mRNA was extracted and quantitated. cDNA from resting and
plate-bound anti-CD3 mAb plus PMA were labeled with Cy3 and Cy5
fluorescent dyes for microarray hybridization as described (see
"Experimental Procedures"). Samples were hybridized to the
UnigemTM version 1.0 human microarray (IncyteGenomics,
Inc.). Data were analyzed using GemToolsTM software and
plotted as balanced differential revealing up-regulated
(positive values) and down-regulated (negative
values) gene expression of gene elements on the microarray. The
x and y axes represent Cy3 and Cy5 signal
intensity values, respectively. The blue numbers in the
upper right-hand corner reflect the range of fold modulation
(1-2; 2-5; 5-10; >10) of gene elements in resting cells compared
with those that are stimulated; these represent up-regulated (positive
values) or down-regulated (negative values) genes. The black
numbers reflect the number of gene elements that are
differentially modulated within each range.
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To identify genes in which expression levels were differentially
modulated by CsA and FK506, we compared the differential expression
pattern of gene elements using fluorescently modified probes prepared
from 4-h stimulated (plate-bound anti-CD3 mAb plus PMA) human PBL
cultured in the presence of CsA, FK506, or vehicle alone.
Twenty-seven genes were identified in which expression levels
were consistently inhibited by both immunosuppressants (Table
I). Among the genes identified, 22 corresponded to genes induced upon T cell activation and five showed no
change with activation (compared with resting cells) but were
nevertheless inhibited by drug. Again, genes previously reported to be
sensitive to CsA and/or FK506 inhibition were identified, including
lymphotactin, L-selectin, TNF
, and IL-2 (32-35). Importantly, we
identified known (e.g. Stat5a) and novel (e.g.
EST AA770150) CsA- and FK506-sensitive genetic elements that had not
been reported previously.
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Table I
Gene elements down-regulated by CsA and FK506
Diff-I and Diff-II (columns 1-4) represent differential expression
values from microarray analysis of probes prepared from isolated
mRNA of two individual donors. Human PBL from these donors were
stimulated in the presence of immobilized anti-CD3 mAb plus PMA
(pCD3+P) in the absence and presence of CsA (columns 1, 2) or FK506
(columns 3, 4). Negative differential expression values indicate a
down-regulation of mRNA levels, whereas positive values indicate an
up-regulation. Differential expression values that are not
statistically significant when comparing resting and pCD3+P-treated
human PBL are in parentheses (column 5).
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Regulation of Stat5a mRNA and Protein in Human Peripheral Blood
T Cells--
To confirm the cDNA microarray data (Table I), the
regulation of Stat5a mRNA was explored further. Stat5a is a member
of the STAT family of transcription factors that has been shown to mediate cytokine, growth factor, and hormone responses (36, 37) and to
play a critical role in cell cycle progression. Phosphorylated STAT
proteins form homodimeric and heteromeric complexes that, together with
other transcription factors, induce transcriptional activation of a
number of target genes. Among the STAT family of proteins are two
closely related Stat5 proteins, Stat5a and Stat5b, that are both
activated by a number of cytokines including IL-2 and IL-4 (38, 39) and
that have both been shown to be immediately and transiently
tyrosine-phosphorylated following T cell activation (40, 41). The
importance of Stat5a and Stat5b in T cell function has been underscored
by mice rendered genetically deficient in either Stat5a and Stat5b; the
lymphocytes derived from these mice display defects in both T cell
proliferation and function (42-44). Although the role of and factors
that influence Stat5a in T cell cycle progression have been extensively
studied, much less is know about the transcriptional regulation of its expression.
Stat5a mRNA from unstimulated or treated peripheral blood T
cells was analyzed by reverse transcription (RT)-PCR (Fig.
2). The high basal expression of Stat5a
mRNA in resting, purified human PBL (Fig. 2A, upper
panel, lane 1) was enhanced by stimulation with the
calcium ionophore ionomycin (lane 3) and further induced by
the combination of PMA and ionomycin (lane 5). Cyclosporine pretreatment minimally reduced basal Stat5a mRNA expression
(lane 2) and partially attenuated ionomycin (lane
4) and ionomycin plus PMA (lane
6)-dependent Stat5a transcriptional activation. As
expected, IL-2 mRNA levels were present at very low levels in
resting human PBL (Fig. 2A, lower panel, lane 1)
and were induced minimally by calcium agonists (lane 3) and
more significantly by PMA plus ionomycin (lane 5). As
anticipated (45, 46), CsA reduced both basal and stimulated IL-2
transcription. The induction of Stat5a mRNA by PMA plus ionomycin
was found to be sensitive to incubation with the inhibitor of
transcription actinomycin D (ActD, Fig. 2B). This latter
finding suggests that Stat5a mRNA induction was dependent, at least
in part, on new mRNA transcription and was not due solely to
mRNA stabilization (Fig. 2B). Furthermore, Stat5a mRNA levels in stimulated cells pretreated with both CsA and ActD was less than that found in cells pretreated with CsA alone, implying that new Stat5a mRNA synthesis contributes not only to inductive, stimulation-dependent (and CsA-inhibitable) mRNA but
also to basal Stat5a expression. Similar results were noted in samples
derived from cells stimulated with anti-CD3 mAb (OKT3) plus PMA (data not shown).

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Fig. 2.
Regulation of Stat5a mRNA and protein
upon T cell activation in human peripheral blood T cells. Stat5a
mRNA and protein levels in human PBL were assessed by RT-PCR
(A and B) and immunoblotting (C)
assays. A, cells were treated for 6 h with either
ethanol diluent (lanes 1 and 2 from
left), ionomycin (Iono, lanes 3 and
4), or PMA plus ionomycin (PMA+Iono, lanes
5 and 6 from left) in the absence (lanes 1,
3, and 5 from left) or presence (lanes
2, 4, and 6) of CsA. Total RNA was prepared
(See Fig. 1), and RT-PCR was carried out as described (see
"Experimental Procedures") using Stat5a-and IL-2-specific primers.
Stat5a and IL-2 bands were quantitated, and values expressed in
arbitrary units (a.u.) using ImageQuant software are
represented graphically. B, stimulation of human PBL with
PMA + ionomycin was carried out for 2, 4, 6, and 12 h in the
absence or presence of CsA (1 µM, 0.5 h
preincubation) and/or actinomycin D (2.5 µg/ml, 1 h
preincubation) as described. C, total RNA was prepared, and
RT-PCR analysis was conducted as described in A. For protein
expression studies, cells were treated for 6 h with ethanol
diluent (lanes 1 and 7), soluble anti-CD3 mAb,
anti-CD28 mAb (designated CD3/28) plus PMA (C,
lanes 2 and 8 from left), anti-CD3 mAb plus PMA
(lanes 3 and 9 from left), PMA plus ionomycin
(lanes 4 and 10 from left), ionomycin alone
(lanes 5 and 11 from left), and PMA alone
(lanes 6 and 12 to each). Cells were stimulated
in the absence (lanes 1-6) or presence (lanes
7-12 from left) of CsA. Cells were lysed as described (see
"Experimental Procedures"), and proteins were separated by
SDS-PAGE, transferred to a polyvinylidene difluoride membrane, and
immunoblotted with a mouse anti-human Stat5a antibody (89). The Stat5a
band was detected by ECL and is indicated by the
arrowhead. Bands were quantitated and values
expressed in arbitrary units (a.u.) using ImageQuant
software and are graphically represented. The results (A, B,
and C) of one experiment, representative of at least two
experiments carried out using human PBL from different human donors, is
shown.
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To determine whether the induction and suppression of Stat5a mRNA
translated into changes in protein expression, post-nuclear lysates of
appropriately treated PBL were subjected to immunoblotting analysis
(Fig. 2C). Compared with resting cells, Stat5a protein was
induced in cells stimulated with ionomycin, PMA, PMA plus ionomycin,
anti-CD3 mAb, or anti-CD3 plus anti-CD28 mAb (Fig. 2C).
Although CsA pretreatment attenuated Stat5a protein expression in
ionomycin-, anti-CD3 mAb plus PMA-, or anti-CD3/anti-CD28 mAb plus
PMA-treated cells, CsA had no appreciable affect on PMA plus ionomycin-
or PMA-only treated cells. Purified CD4+ and CD8+ subpopulations of T
cells demonstrated a similar pattern of responses (Fig.
3). Note that the basal expression of
Stat5a was reproducibly greater in resting purified CD8+ T cells
compared with CD4+ T cells. Although some variability was noted in the
extent of CsA-dependent inhibition between different
healthy donors, the pattern was similar in all experiments. Taken
together, these results confirm and extend the results of the cDNA
microarray analysis to demonstrate CsA- and FK506-sensitive induction
of Stat5a mRNA and protein following activation of both CD4+
and CD8+ T cell subpopulations.

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Fig. 3.
Stat5a protein analysis in CD4+ and CD8+ T
cell subpopulations. After purification of CD4+ and CD8+ T
lymphocytes by negative selection using the MidiMACSTM system (see
"Experimental Procedures"), cells were either left unstimulated
(lanes 1 and 10 from left) or treated for
6 h with PMA (lanes 2, 6, 11, and
15 from left), PMA plus ionomycin (lanes 3,
7, 12, and 16 from left), soluble anti-CD3 mAb,
anti-CD28 mAb (designated CD3/28) plus PMA (lanes
4, 8, 13, and 17 from left), or anti-CD3 mAb
plus PMA (lanes 5, 9, 14, and 18 from
left) in the absence (lanes 1-9) or presence (lanes
10-18) of CsA. Cells were lysed and Stat5a protein detected by
immunoblotting as described (See Fig. 3 and "Experimental
Procedures"). Stat5a bands were quantitated and values expressed in
arbitrary units (a.u.) using ImageQuant software are
graphically represented. The results of one experiment, representative
of three experiments carried out using isolated CD4+ and CD8+ T cells
from different human donors, is shown.
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Gene Expression Induced by Immunosuppressive Agents in Activated
Human PBL--
CsA and FK506 are known to inhibit transcriptional
activation of a number of cytokine and other genes. However, the
ability of these immunosuppressive drugs to induce or up-regulate
transcription is less well appreciated. In addition to genes inhibited
by drug, the differential cDNA microarray analysis identified 21 genes that were induced similarly by both immunosuppressive agents
(Table II). Of the genes up-regulated by
drug, eight corresponded to genes identified as down-regulated
following T cell activation. Thus, treatment with immunosuppressive
agents prevented activation-induced down-modulation. Eleven genes were
unchanged by T cell stimulation and two were up-regulated (and,
therefore, "superinduced" by drug). Novel genes of unknown function
(e.g. KIAA0955, KIAA0135, and KIAA0430) as well as known genes not previously
reported to be CsA/FK506-sensitive (e.g. IL-16) were
identified. Further analysis of IL-16, a cytokine not previously known
to be regulated by CsA or FK506, was explored further.
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Table II
Gene elements up-regulated by CsA and FK506
Diff-I and Diff-II (columns 1-4) represent differential expression
values from microarray analysis of probes prepared from isolated
mRNA of two individual donors. Human PBL from these donors were
stimulated in the presence of immobilized anti-CD3 mAb plus PMA
(pCD3+P) in the absence and presence of CsA (columns 1, 2) or FK506
(columns 3, 4). Negative differential expression values indicate a
down-regulation of mRNA levels, whereas positive values indicate an
up-regulation. Differential expression values that are not
statistically significant when comparing resting and pCD3+P-treated
human PBL are in parentheses (column 5).
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Regulation of IL-16 mRNA and Protein Secretion in CD4+ and CD8+
T Cells--
The biologically ~13-kDa active and secreted form of
IL-16 is cleaved from a 67-kDa (pro-IL-16) precursor protein (47) and acts upon CD4+ T cells, monocytes, and eosinophils by binding to CD4
and potentially to other receptors. Although originally described as a
product of CD8+ T lymphocytes, IL-16 has now been shown to be
synthesized by both CD4+ and CD8+ T cells (48-50). Although the
importance of the IL-16 protein product in regulation of cell adhesion,
chemotaxis, cell cycle progression, and HIV/SIV (human immunodeficiency
virus/simian immunodeficiency virus) infectivity (51-54) is
well appreciated (47), the transcriptional regulation of IL-16 is
poorly understood.
To verify not only the CsA and FK506 sensitivity but also the T cell
activation-induced down-modulation of IL-16 mRNA (Table II),
unstimulated and treated purified human CD4+ and CD8+ T cells were
analyzed. Basal IL-16 mRNA transcription in both CD4+ and CD8+ T
cell subpopulations was approximately comparable (Fig. 4, lanes 1 and 11).
IL-16 mRNA was unchanged by treatment with PMA (lanes 2 and 12), but down-regulated by treatment with PMA plus
ionomycin (lanes 3 and 13), anti-CD3 mAb plus PMA
(lanes 4 and 14), and anti-CD3/anti-CD28 mAb plus
PMA (lanes 5 and 15). CsA pretreatment had
minimal effects on IL-16 mRNA in PMA-treated cells (lanes
7 and 17) or anti-CD3/anti-CD28 mAb plus PMA-treated cells (lanes 10 and 20) but was found to
eliminate the attenuation of IL-16 mRNA in PMA plus ionomycin
(lanes 8 and 18)- and anti-CD3 mAb plus PMA
(lanes 9 and 19)-stimulated samples. The
CsA-dependent reversal of stimulation-dependent
IL-16 down-modulation was found to be sensitive to ActD (data not
shown), suggesting that reversal by CsA was dependent on new message
synthesis and not solely upon mRNA stabilization. Moreover, the
addition of ActD to human PBL prior to stimulation further reduced
IL-16 levels (data not shown), suggesting that new IL-16 mRNA is
being synthesized throughout stimulation. Consistent with the cDNA
microarray analysis, these results demonstrate that stimulation of both
CD4+ and CD8+ T cell subpopulations down-regulates IL-16 mRNA in a
CsA- and FK506-sensitive fashion.

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Fig. 4.
Inhibition of IL-16 mRNA in CD4+ and CD8+
T cell subpopulations. CD4+ and CD8+ T lymphocytes were purified
by negative selection using the MidiMACSTM system (see "Experimental
Procedures"), and cells were either left unstimulated (lanes
1, 6, 11, and 16 from left) or
treated for 6 h with PMA (lanes 2, 7, 12,
and 17 from left), PMA plus ionomycin (lanes 3,
8, 13, and 18 from left), anti-CD3 mAb plus PMA
(lanes 4, 9, 14, and 19 from left), or
soluble anti-CD3 mAb, anti-CD28 mAb (designated CD3/28) plus PMA
(lanes 5, 10, 15, and 20 from left) in
the absence (lanes 1-5 and 11-15 from left) or
presence (lanes 6-10 and 16-20 from left) of
CsA. Total RNA was prepared and quantitated as described (See Fig. 1).
RT-PCR was carried out as described (see "Experimental Procedures")
using IL-16- and -actin-specific primers. Samples were analyzed by
gel electrophoresis, and bands were revealed by staining with ethidium
bromide. Bands were quantitated by PhosphorImager analysis using
ImageQuant software, and mRNA levels were normalized to -actin
mRNA levels and are represented graphically here.
|
|
To determine whether the drug-sensitive and
stimulation-dependent modulation of IL-16 mRNA
translated into functional differences in IL-16 secretion, cell
supernatants from stimulated CD4+ and CD8+ T cells were assayed for
secreted IL-16 protein. Soluble IL-16 from CD4+ T cells decreased
following a 6-h stimulation with PMA, PMA plus ionomycin, anti-CD3 mAb
plus PMA, or anti-CD3/anti-CD28 mAb plus PMA compared with resting
cells (Fig. 5, upper left
panel). Although CsA addition did not affect IL-16 secretion
basally or in response to anti-CD3 mAb plus PMA stimulation, CsA
increased IL-16 secretion in response to PMA, PMA plus ionomycin, and
anti-CD3/anti-CD28 mAb plus PMA. At 24 h following stimulation,
the response differed. Although soluble IL-16 decreased in response to
PMA plus ionomycin, the quantitated IL-16 remained virtually unchanged
after PMA or anti-CD3/anti-CD28 mAb plus PMA treatment and was
increased by anti-CD3 mAb plus PMA treatment relative to resting cells
(Fig. 5, lower left panel). Surprisingly, CsA addition was
found to increase secreted IL-16 levels in all stimulated conditions
examined.

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Fig. 5.
Analysis of secreted IL-16 from both CD4+ and
CD8+ T cell subpopulations. Human CD4+ and CD8+ T cells were
isolated and stimulated as described in the legend for Fig. 4. The
levels of IL-16 in sample supernatants were detected by ELISA as
described (see "Experimental Procedures"). IL-16 levels in
supernatants were interpolated by comparison with a standard curve
using recombinant human IL-16 (PharMingen).
|
|
The pattern of responses to stimulation and to drug in CD8+ T cells
differed somewhat from that of CD4+ T cells. Stimulation with PMA alone
and, to a lesser extent, anti-CD3 mAb plus PMA induced IL-16 secretion
at both 6 and 24 h; induction was sensitive to CsA treatment. The
addition of anti-CD28 to anti-CD3 mAb plus PMA also increased measured
IL-16 protein, but the response to CsA changed with time; CsA increased
IL-16 at 6 h but not at 24 h. In contrast, PMA plus ionomycin
decreased (6 h) or failed to change (24 h) IL-16 levels in the
supernatant; CsA treatment nevertheless increased the measured amount
of cytokine. IL-16 protein expression correlated with mRNA
transcriptional studies under some but not all treatment conditions,
consistent with the complex regulation of IL-16 protein production,
processing, and/or secretion previously reported.
Gene Clusters Reveal Selectivity of CsA and FK506 Action--
The
transcript profiling analysis described above identified several genes,
both known and novel, that are CsA- and FK506-sensitive, allowing for
the possibility that these genes share a transcriptional regulatory
mechanism mediated by a common target of CsA and FK506, the
calcium/calmodulin-dependent, serine/threonine phosphatase calcineurin. To compare the expression profiles of resting
versus activated to activated in the absence
versus presence of drug, the data sets were analyzed using
GEMToolsTM software (IncyteGenomics, Inc.). This
analysis/software serves three purposes. First, it manages and analyzes
the results of GEMTM microarray experiments by utilizing an
image recognition algorithm that interprets the scanned images of a
processed GEMTM array. Next, it compares the results
against a data base to identify which genes are differentially
expressed in the two cell samples and to what degree. Finally, it
allows the data to be queried to allow clustering of target gene
elements into defined enzyme, function, and pathway hierarchies. The
"enzyme" hierarchy (Incyte) is based on the EC enzyme
classification system, currently maintained by the IUBMB Joint
Commission on Biochemical Nomenclature (76). The six groups within this
hierarchy include oxidoreductases, transferases, hydrolases, lyases,
isomerases, and ligases. The designated "function" hierarchy
(Incyte) classifies proteins based on biochemical function and/or
localization. The scheme accommodates enzymes and other proteins into
the following seven groups of gene elements: signal transduction and
regulation, membrane transport, protein modification and maintenance,
nucleic acid synthesis and modification, adhesion and molecular
recognition, electron transport, and localized and structural proteins.
The designated "pathway" hierarchy (Incyte) groups gene products
not by specific biochemical function but by the biochemical and
physiological processes in which they are involved, including
metabolism, growth and development, kinesis, environmental responses,
and ecological interactions. It should be noted that in all three
hierarchy classifications gene elements are not necessarily uniquely
represented and may be clustered into two or more groups.
Hierarchy profiles were constructed to cluster gene transcripts related
to enzymatic activities (Fig.
6A), function (Fig. 6B), and signaling pathways (Fig. 6C). Each
profile was then further subdivided into specific categories (Fig. 6).
Genes differentially modulated by T cell activation (yellow
circles) were compared with genes regulated by CsA/FK506
(red triangles). T cell activation induced or suppressed
genes in all hierarchical categories. In contrast, transcripts
sensitive to regulation by CsA and FK506 were restricted to a subset of
categories and were not predicted by a simple correlate to the
absolute number of genes in any category. Taken together, these data
suggest that whereas activation of T lymphocytes results in changes in
a wide variety of genes serving many functions, only a selective
fraction of these genes, under the experimental conditions examined,
are modulated by the immunosuppressants.

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Fig. 6.
Enzyme, function, and pathway hierarchy
profiles reveal specificity of CsA and FK506 action.
GEMToolsTM software (IncyteGenomics, Inc.) was used to
categorize the genes in which expression levels were differentially
modulated by T cell activation and by CsA and FK506 into hierarchical
groups. Enzyme (A), Function
(B), and Pathway (C) hierarchy plots
were then constructed that showed the Fold Differential
expression of target genes modulated by either T cell activation
(yellow circles) or by CsA (red triangles). The
treatment with FK506 (See Tables I and II) was similar to CsA in the
differential expression patterns of target genes and, for purposes of
clarity, is not represented in this figure.
|
|
Absence of Unique Targets Specific to Either CsA or FK506
Treatment--
We failed to reveal genetic elements that were
differentially regulated by one drug but not the other, suggesting that
immunophilin (e.g. cyclophilin or
FKBP)-dependent pathways of gene regulation were not
identified by the stimulation and culture conditions, time course, or
microarray selected. Given the limited stimulation conditions examined,
we cannot rule out the possibility that in other cell or tissue types,
with other stimulation kinetics or conditions, and/or using microarrays
with different gene representation may uncover
immunophilin-dependent gene expression that was not found in
our analysis.
 |
DISCUSSION |
It has been approximately a decade since calcineurin was
identified as the common target of CsA and FK506 action. Since that time efforts have focused on the identification of substrates of
calcineurin and, in particular, of NFAT, highlighting their essential
role in cytokine transcriptional activation. The production of many
immediate early genes and cytokines, including IL-2, IL-3, IL-4, IL-12,
granulocyte/macrophage colony-stimulating factor, and TNF
(19-22,
55, 56), has been shown to be sensitive to inhibition by the
immunosuppressants CsA and FK506. The identification and analysis of
downstream targets of immunosuppressants in resting T lymphocytes has
been biased, however, toward genes such as cytokines, known to be
regulated by the NFAT family. Here, we used cDNA microarrays to
identify genes in which expression levels are regulated by T cell
signaling and further regulated by a common target of CsA and FK506,
which is presumably calcineurin. Although calcineurin is the
only common target of CsA-CyP and FK506-FKBP known to date, it remains
formally possible that any gene identified by our analysis is regulated
not by calcineurin but by another, heretofore unknown, common target of
CsA and FK506. Consistent with this notion, work by Matsuda and
co-workers (57) demonstrates the ability of CsA and FK506 to exert
their immunosuppressive effects not only by targeting
calcineurin-dependent NFAT but also calcineurin-independent activation pathways for c-Jun NH2-terminal kinase (JNK) and
p38; the specific target(s) of the drug-immunophilin complexes,
however, were not identified. It is also formally possible that a gene may be regulated both by a target of CsA and an unrelated target of
FK506, resulting in the same transcriptional outcome (induction or
inhibition by drug). We consider this latter possibility remote, as we
failed to identify any genes affected by one drug and not by the other.
The likelihood that, in early T cell activation, two distinct molecular
targets would always converge to regulate a subset of genes commonly
and with a similar outcome (induction or inhibition) is improbable.
Subsequent analysis will confirm whether the genes identified are
regulated by NFAT, by another calcineurin-dependent
transcription factor (e.g. NF
B, Elk-1), or by a
calcineurin-independent, immunophilin-dependent target of
CsA and FK506.
In addition to identifying novel gene targets common to both of the
immunosuppressants CsA and FK506, we also sought to use this cDNA
microarray analysis to identify genes in which transcriptional regulation was dependent upon the isomerase activity of either the
cyclophilin or FKBP immunophilin families (and inhibited by drug).
Although many members of these families of highly conserved proteins
have been characterized (26-28), their biological roles in
vivo remain largely elusive. Our study did not uncover any genes
that were differentially modulated by CsA compared with FK506. Our
study was limited, however, to a restricted stimulation condition using
resting human peripheral blood T lymphocytes as the cell source. We
cannot rule out the possibility that under different experimental
conditions or using a different tissue source,
immunophilin-dependent gene expression may be uncovered. It is
also possible that cyclophilin and FKBP isomerase activities act only
post-translationally to affect protein folding or protein transport;
approaches employing proteomics will be instrumental for this analysis.
The less likely alternative, that isomerase- and
immunophilin-dependent gene expression is regulated
indiscriminately by the class of enzymes (despite differing substrate
affinities of individual members of the class), will be more
appropriately addressed in yeast, where genetic variants lacking all
cyclophilins, or FKBPs, or both have been generated and are viable.
Our analysis identified 27 genes in which expression levels were
consistently inhibited by both immunosuppressants (Table I). Of these
genes, 22 were induced upon T cell activation, whereas five showed no
change with activation. In addition to these genes inhibited by drug,
21 genes were identified that were induced similarly by both
immunosuppressive agents (Table II). Of these genes, eight were
down-regulated following T cell activation, 11 were unchanged but
induced by drug, and two were up-regulated and further induced by drug.
Genes previously reported to be sensitive to CsA- and/or FK506-mediated
inhibition were identified, including IL-2, lymphotactin, L-selectin,
and TNF
(32-35, 58). Moreover, our findings that SLAM, IRF4, IL-16,
and KIAA0135 are CsA- and FK506-sensitive are consistent
with data recently reported by Feske et al. (58). Although
we used resting human peripheral blood T lymphocytes stimulated in the
presence or absence of drug, Feske and co-workers (58) used
continuously growing T cell lines derived from human peripheral blood
lymphocytes of healthy donors and severe combined
immunodeficiency patients with a principal defect in T cell
activation (attributed to a calcium influx defect). It is reassuring
that certain identified gene elements were common to these two
different studies, which used different T cell sources, different
stimulation conditions, and different cDNA microarray templates;
many other elements, of course, differed. The cluster analysis of our
data suggested relative specificity of genetic elements regulated by
the calcineurin inhibitors (Fig. 6). Our study also uncovered several
expressed sequence tags (ESTs) that are modulated by T cell activation
and are sensitive to both CsA and FK506. These ESTs are the focus of
current studies that may provide further insight into novel
immunophilin (and calcineurin)-dependent T cell signaling pathways.
One of the gene products identified as being CsA- and FK506-sensitive
and selected for further investigation in our study was Stat5a.
Although Stat5a protein tyrosine phosphorylation, activation, and
signaling have been studied extensively, far less is known regarding
the regulatory mechanisms governing Stat5a gene expression. Consistent
with previous findings (59, 60), we noted high basal expression of
Stat5a mRNA in human resting PBL, unaffected by drug treatment of
the cells (Fig. 2, A and B). Stat5a mRNA
increased in response to stimulation with the calcium ionophore
ionomycin and by both PMA and ionomycin; mRNA induction was
actinomycin D-sensitive (Fig. 2, A and B) and
thus dependent on new message synthesis and not solely upon mRNA
stabilization. That Stat5a gene expression was dependent on both
calcium- and PKC-mediated pathways is consistent with a previous report
demonstrating an increase in Stat5a mRNA in human peripheral
blood mononuclear cells following T cell mitogen (phytohemagglutinin)
stimulation (60). The data presented here revealed Stat5a to be
CsA/FK506-sensitive at the level of both mRNA and protein,
suggesting calcineurin-dependent regulation of Stat5a. This
model would predict a calcineurin target (i.e. NFAT or other
transcription factor) within the Stat5a promoter. Consistent with this
model, sequence analysis of the Stat5a 5' nucleotide sequence, upstream
of the transcriptional start site, revealed one putative NFAT
recognition element adjacent to a putative AP1 element. Detailed
promoter analysis of the Stat5a promoter element will be required to
verify whether this site mediates CsA and FK506 sensitivity.
The significance of drug regulation of Stat5a is not restricted to
confirmation of the microarray results reported here. Stat5 activated by IL-2 enhances IL-2R
gene expression and cell cycle progression (42, 61). In addition, however, the induction of
Stat5a mRNA and protein upon early T cell activation
(largely in advance of IL-2 production and secretion by the T
cell) may influence the kinetics and requirements for activation of
responding T cells, differing between resting T cells, which express
basal levels of Stat5a, and activated T cells, in which Stat5a is
dramatically induced. Stat5 activation has also been shown to regulate
Fas ligand expression and activation-induced cell death (62). Although CsA and FK506 have been shown to regulate apoptosis by a number of
mechanisms including mitochondrial permeability,
NFAT-dependent Fas ligand expression, and MEF2, inhibition
of Stat5a expression may be another means by which CsA and FK506
regulate cell death.
Recent work by Yamashita et al. (63) has demonstrated that
Stat5 becomes physically associated with the IL-4 receptor in optimally stimulated, anti-TCR-activated Th2 cells, an event
inhibitable by FK506. Moreover, inhibition of Stat5 activation resulted
in diminished IL-4-induced proliferation, suggesting that IL-4-induced Stat5 activation is required for the expansion of developing Th2 cells.
Our data would suggest that, in addition to calcineurin regulation of
the IL-4 receptor signaling complex, events inhibitable by FK506
regulate Stat5 expression and thereby Th2 development.
Although encoded by distinct genes, Stat5a and Stat5b show 96%
sequence similarity at the protein level (64) and have been shown to
form heterodimers with each other and with other proteins. These
heterodimers bind DNA recognition domains in the promoters of
downstream genes and result in their transactivation (65) functioning
as both positive and negative regulators (66). Although Stat5b mRNA
was not represented within the human GEMTM microarray used, immunoblot
analysis of the Stat5b protein (Fig. 2C, lane 3 from left) (67, 68) revealed, for several stimulation
conditions, an expression profile similar to that of Stat5a. Stat5b
protein quantitatively increased following treatment of human PBL by
ionomycin as well as by PMA plus ionomycin, anti-CD3 mAb plus
PMA and anti-CD3/CD28 plus PMA, each partially inhibited by CsA in both
CD4+ and CD8+ T cells. The requirements for Stat5a and Stat5b
activation are similar (69, 70), and our data would suggest that
regulation of Stat5a and Stat5b protein expression may also be comparable.
IL-16 was the second CsA- and FK506-sensitive gene target that we
identified and investigated. IL-16 functions as a chemoattractant, a
modulator of T cell activation, a ligand for CD4, and thereby an
inhibitor of immunodeficiency virus replication (47, 51-54, 71). We
have shown down-regulation of IL-16 mRNA following T cell
stimulation with PMA plus ionomycin, anti-CD3 mAb plus PMA, and
anti-CD3/CD28 plus PMA, consistent with previous findings (50).
Activation-dependent IL-16 down-regulation may be reversed by CsA or FK506; the transcription factors regulating IL-16 mRNA induction are not yet known. It is interesting to note that sequence analysis of the IL-16 promoter revealed several putative Elk-1 binding
sites; the involvement of Elk-1, itself regulated by calcineurin, will
be the subject of future analysis. Although the effects of T cell
activation and CsA/FK506 pretreatment on secreted IL-16 protein (Fig.
5) were consistent with expression patterns of IL-16 mRNA in
certain stimulation conditions, several inconsistencies were also
noted. The complexity of IL-16 mRNA and protein suggests that CsA
and FK506 may influence IL-16 secretion by both direct (transcription-independent) and indirect
(transcription-dependent) calcineurin-mediated mechanisms.
Finally, analysis of hierarchy profiles of target genes
differentially regulated by T cell activation and by immunosuppressive drug treatment revealed the wide spectrum of genetic elements that was induced or inhibited as a consequence of T cell activation, consistent with previous findings (58, 72-75). In addition, our data
demonstrated that pretreatment of human resting PBL with CsA or FK506
resulted in the modulation of only a limited subset of genes from
particular hierarchy profiles. These findings suggest that the actions
of CsA and FK506 are highly specific. Further analysis will allow
definition of functional signaling pathways required to activate
certain transcription factors that in turn coordinately control gene
expression. Our analysis using resting human peripheral blood T cells
must now be complemented by and compared with model systems in which
known proteins (e.g. calcineurin, NFAT) are genetically
modified to allow clarification of signaling pathway intermediates and
assignment of function.
 |
ACKNOWLEDGEMENTS |
We thank William W. Cruikshank for
helpful discussions, and we appreciate the technical assistance of
Kai Chang.
 |
FOOTNOTES |
*
The costs of publication of this
article were defrayed in part by the
payment of page charges. The article
must therefore be hereby marked
"advertisement" in
accordance with 18 U.S.C. Section
1734 solely to indicate this fact.
To whom correspondence should be addressed: NHLBI, National
Institutes of Health, Bldg. 10, Rm. 6C208, 10 Center Dr., Bethesda, MD
20892. Tel.: 301-402-6786; Fax: 301-480-1792; E-mail:
biererb@nih.gov.
Published, JBC Papers in Press, November 1, 2001, DOI 10.1074/jbc.M108598200
 |
ABBREVIATIONS |
The abbreviations used are:
TcR, T cell
receptor;
NFAT, nuclear factor of activated T cells;
IL, interleukin;
CsA, cyclosporin A;
FK506, tacrolimus;
CyP, cyclophilin;
FKBP, FK506-binding protein;
TNF
, tumor necrosis factor
;
PBL, peripheral blood T lymphocytes;
PBS, phosphate-buffered saline;
mAb, monoclonal antibody;
PMA, phorbol 12-myristate 13-acetate;
RT-PCR, reverse transcriptase-PCR;
STAT, signal transducers and activators of
transcription;
ActD, actinomycin D;
EST, expressed sequence
tag.
 |
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