Kegg Pathway: Jak-STAT signaling pathway

KEGG ID: 04630

Reference Diagram

KEGG Diagram for Jak-STAT signaling pathway

Rat

There are 118 IPI Records from this pathway found in Rattus norvegicus.

Location of Jak-STAT signaling pathway proteins on Rat Genome

IPI Record Position
1: Akt1 6:137640482-137657552
2: Akt2 1:82686233-82726544
3: Akt3 13:92807672-92924984
4: Bcl2l1 3:143129087-143180199
5: Cblb 11:49690402-49856762
6: Cblc 1:79092830-79108167
7: Ccnd1 1:205360031-205366632
8: Ccnd2 4:163523817-163546501
9: Ccnd3 :-
10: Cish 8:112538514-112545389
11: Clcf1 1:206802745-206806332
12: Cntf 1:215842668-215844691
13: Cntfr :-
14: Crebbp 10:11598680-11724122
15: Csf2 10:39665850-39667831
16: Csf2ra :-
17: Csf2rb1 7:116237279-116271993
18: Csf3 10:87473990-87476365
19: Csf3r_predicted 5:145377414-145393604
20: Ctf1 1:187001445-187006655
21: Epo 12:19552436-19554617
22: Epor 8:21061308-21065886
23: Ghr 2:52497358-52658066
24: Grb2 10:105722014-105818649
25: Ifna1 5:108011739-108012317
26: Ifna11_predicted 5:108150128-108150703
27: Ifna2_predicted 5:108085633-108118114
28: Ifnar1_predicted 11:31455064-31479849
29: Ifnb1 5:107837628-107838182
30: Ifng 7:57621754-57625792
31: Ifngr1 1:14846414-14864896
32: Ifngr2_predicted 11:31508768-31526039
33: Ifnk_predicted 5:51730055-51804466
34: Il10 13:43953859-43958332
35: Il10ra 8:48211040-48224439
36: Il11 1:67786388-67791611
37: Il11ra1 5:59193895-59202275
38: Il12a 2:158710261-158717689
39: Il12b 10:29558955-29567748
40: Il12rb1 16:19126653-19156365
41: Il12rb2 4:96929755-96995733
42: Il13 10:39093512-39096069
43: Il13ra1 11:73147652-73148932
44: Il13ra2 X:30505846-30533002
45: Il15 19:27482376-27499255
46: Il2 2:123655005-123659709
47: Il21_predicted 2:123774331-123781697
48: Il23a 7:1584112-1586226
49: Il24 13:43831510-43836908
50: Il2ra 17:78051150-78097685
51: Il2rb :-
52: Il2rg X:89339271-89346542
53: Il3 10:39684691-39687041
54: Il4 10:39074582-39080134
55: Il4ra 1:184625287-184637860
56: Il5 10:39177783-39180657
57: Il5ra 4:142067108-142098051
58: Il6 4:456799-461376
59: Il6ra 2:182078051-182128147
60: Il6st 2:43806301-43842365
61: Il7 2:96364592-96399206
62: Il7r_predicted 2:59105666-59137997
63: Il9 17:14068757-14071880
64: Il9r 10:15678793-15690250
65: IPI00360197 17:77998621-78029657
66: IPI00766451 :-
67: Isgf3g 15:33739729-33744981
68: Jak1 5:121805277-121845772
69: Jak2 1:232928515-232974587
70: Jak3 16:18878941-18889441
71: Lep 4:55934532-55946066
72: Lepr 5:122385149-122503365
73: Lif 14:84887856-84890630
74: Lifr 2:56440206-56477198
75: Miz1 18:74078683-74129514
76: Mpl_predicted 5:138921476-138931990
77: Myc 7:98953142-98957835
78: Osm 14:84857232-84860082
79: Pias1_predicted 8:67024576-67123004
80: Pias3 2:191499055-191507243
81: Pias4 7:10030180-10043646
82: Pik3ca 2:118640277-118670170
83: Pik3cb 8:103886682-103957112
84: Pik3cd_predicted 5:166735338-166750186
85: Pik3cg_predicted 6:50444793-50477111
86: Pik3r1 2:32602673-32675350
87: Pik3r2 16:19171101-19179650
88: Pik3r3 5:136497494-136566473
89: Pim1 20:7817154-7821800
90: Prl 17:44699101-44709162
91: Prlr 2:59660849-59700727
92: Ptpn11 12:36520522-36557116
93: Ptpn6 4:160843701-160856821
94: RGD1559655_predicted 5:154495319-154526724
95: RGD1559932_predicted :-
96: RGD1560373_predicted 11:31380588-31397912
97: RGD1563261_predicted 10:55182226-55247889
98: RGD1564499_predicted 17:88276200-88320716
99: RGD1564914_predicted 6:10552015-10582830
100: RGD1565911_predicted :-
101: RGD1566151_predicted 8:105306512-105325963
102: Socs1 10:4819971-4820609
103: Socs2 7:32605717-32608323
104: Socs3 10:107958636-107959313
105: Socs4_predicted 15:23229005-23243035
106: Socs7_predicted 10:86090333-86134222
107: Sos1 6:3310823-3394313
108: Sos2 6:91610826-91722481
109: Stam2 3:34213153-34236499
110: Stat1 9:46460407-46650076
111: Stat2 7:1564348-1580652
112: Stat3 10:89821078-89872970
113: Stat4 9:46460407-46650076
114: Stat5a 10:89795404-89819732
115: Stat5b 10:89716624-89743137
116: Stat6_predicted 7:67601861-67642616
117: Tpo 6:47954848-48025740
118: Tslpr :-

Mouse

There are 118 IPI Records from this pathway found in Mus musculus.

Location of Jak-STAT signaling pathway proteins on Mouse Genome

IPI Record Position
1: Akt1 :-
2: Akt2 7:27300516-27348213
3: Akt3 1:178862039-178967772
4: Bcl2l1 2:152458757-152523123
5: Cbl 9:43900257-43985041
6: Cblb 16:51952371-52127389
7: Cblc 7:18939488-18955304
8: Ccnd1 7:144739321-144749220
9: Ccnd2 6:127091327-127116667
10: Ccnd3 17:46968322-47062874
11: Cish 9:107143623-107160885
12: Clcf1 19:4214392-4222615
13: Cntf 19:12830688-12862352
14: Cntfr 4:41846167-41885710
15: Crebbp 16:3999276-4128632
16: Csf2 11:54090687-54093065
17: Csf2ra 19:61279667-61282028
18: Csf2rb 15:78153275-78177290
19: Csf2rb2 15:78109765-78132858
20: Csf3 11:98517403-98519719
21: Csf3r 4:125529618-125546743
22: Ctf1 7:127503884-127509333
23: Epo 5:137712873-137714972
24: Epor 9:21709306-21713908
25: Gh 11:106116361-106117955
26: Ghr 15:3267774-3533231
27: Grb2 11:115460216-115524687
28: Ifna1 4:88321318-88321887
29: Ifna11 4:88291124-88292606
30: Ifna13 4:88115047-88115616
31: Ifna2 4:88154438-88155010
32: Ifna4 4:88313092-88313652
33: Ifna5 4:88306756-88307325
34: Ifna6 :-
35: Ifna7 4:88287459-88288031
36: Ifna9 4:88063037-88074607
37: Ifnab 4:88161886-88162458
38: Ifnar1 16:91374108-91396296
39: Ifnar2 16:91261758-91294444
40: Ifnb1 4:87993457-87994005
41: Ifne1 4:88350832-88351410
42: Ifng 10:117844040-117848885
43: Ifngr1 10:19281386-19299641
44: Ifngr2 16:91435953-91452866
45: Ifnk 4:35340942-35342908
46: Il10 1:132847393-132852516
47: Il10ra 9:45004833-45020131
48: Il10rb 16:91295167-91314688
49: Il11 7:4376654-4379588
50: Il11ra1 4:41952093-41957631
51: Il11ra2 :-
52: Il12a 3:68778573-68786454
53: Il12b 11:44243486-44257456
54: Il12rb1 8:73737473-73750411
55: Il12rb2 6:67221596-67305715
56: Il13 11:53474747-53478125
57: Il13ra1 X:32543584-32602707
58: Il13ra2 X:142629920-142675560
59: Il15 8:85227661-85240228
60: Il15ra 2:11623296-11651835
61: Il19 1:132760202-132766787
62: Il2 3:37312271-37317502
63: Il20 1:132734531-132738997
64: Il20ra 10:19402003-19449469
65: Il20rb 9:100267073-100295737
66: Il21r 7:125394642-125424418
67: Il22 10:117607935-117613040
68: Il22ra1 4:135000248-135024216
69: Il22ra2 10:19311456-19322568
70: Il23a 10:127699089-127701033
71: Il23r 6:67352943-67420314
72: Il24 1:132709620-132714885
73: Il28b 7:28231596-28233082
74: Il28ra 4:134958600-134980257
75: Il2ra 2:11560703-11611044
76: Il2rb 15:78307808-78322321
77: Il2rg X:97467097-97470925
78: Il3 11:54108726-54110700
79: Il3ra 14:13139762-13148759
80: Il4 11:53455891-53462067
81: Il4ra 7:125356803-125369129
82: Il5 11:53564217-53568526
83: Il5ra 6:106678159-106710113
84: Il6 5:30343948-30350755
85: Il6ra 3:89955251-89999087
86: Il6st 13:113584987-113627719
87: Il7 3:7556913-7587247
88: Il7r 15:9450884-9474583
89: Il9 13:56488899-56491868
90: Il9r 11:32088997-32100222
91: Irf9 14:54558274-54564100
92: Jak1 4:100650299-100763214
93: Jak2 19:29318438-29378334
94: Jak3 8:74605521-74619563
95: Lep 6:29010231-29023886
96: Lepr 4:101215336-101313489
97: Lif 11:4157571-4172517
98: Lifr 15:7101575-7138433
99: Mpl 4:117940347-117955445
100: Myc 15:61815052-61820027
101: Osm 11:4136423-4141029
102: Osmr 15:6760805-6821498
103: Pias1 9:62679132-62778885
104: Pias2 18:77301699-77357244
105: Pias3 3:96784822-96791367
106: Pias4 10:80557102-80567322
107: Pik3ca 3:32627755-32654380
108: Pik3cb 9:98847754-98949439
109: Pik3cd 4:148492970-148542498
110: Pik3cg 12:32758720-32793858
111: Pik3r1 13:102781018-102868441
112: Pik3r2 8:73697168-73705691
113: Pik3r3 4:115719846-115800988
114: Pik3r5 11:68248320-68314041
115: Pim1 17:29217824-29222496
116: Prl 13:27065042-27072657
117: Prlr 15:10121963-10274098
118: Ptpn11 5:121391158-121451946
119: Ptpn6 6:124686727-124698484
120: Q80SS5_MOUSE 4:88063037-88074607
121: Q810G3_MOUSE 4:88028904-88043029
122: Socs1 16:10695821-10699114
123: Socs2 10:94815050-94846509
124: Socs3 11:117782179-117785276
125: Socs4 14:46199020-46213468
126: Socs5 17:87016005-87045911
127: Socs7 11:97178641-97214632
128: Sos1 17:80306507-80388261
129: Sos2 12:70502371-70576665
130: Spred1 2:116812891-116870782
131: Spred2 11:19824445-19922600
132: Spred3 7:28867589-28877407
133: Spry1 3:37831507-37836147
134: Spry2 14:104778114-104782418
135: Spry3 :-
136: Spry4 18:38712235-38727242
137: Stam 2:13991854-14066092
138: Stam2 2:52513673-52564209
139: Stat1 1:52064035-52066799
140: Stat2 10:127673525-127695798
141: Stat3 11:100701188-100755630
142: Stat4 1:51952788-52051729
143: Stat5a 11:100675493-100701259
144: Stat5b 11:100596902-100666816
145: Stat6 10:127046117-127063894
146: Tpo 12:30640711-30718661
147: Tpte2 5:109795011-109799277
148: Tslp 18:32958393-32962802
149: Tyk2 9:20854476-20881612

Human

There are 118 IPI Records from this pathway found in Homo sapiens.

Location of Jak-STAT signaling pathway proteins on Human Genome

IPI Record Position
1: AKT1 14:104306734-104333125
2: AKT2 19:45430084-45483036
3: AKT3 1:241718158-242080053
4: BCL2L1 20:29715916-29774366
5: CBL 11:118582200-118684066
6: CBLB 3:106859799-107070577
7: CBLC 19:49972966-49995736
8: CCND1 11:69165054-69178422
9: CCND2 12:4253199-4284777
10: CCND3 6:42010649-42124404
11: CISH 3:50618925-50624207
12: CLCF1 11:66888219-66897782
13: CNTF 11:58146721-58149778
14: CNTFR 9:34541430-34579735
15: CREBBP 16:3716572-3870723
16: CRLF2 X:1274890-1291527
17: CSF2 5:131437382-131439758
18: CSF2RA X:1347693-1389274
19: CSF2RB 22:35648168-35664764
20: CSF3 17:35425214-35427592
21: CSF3R 1:36704231-36721466
22: CTF1 16:30815429-30822381
23: EP300 22:39817736-39905472
24: EPO 7:100156359-100159257
25: EPOR 19:11348883-11355883
26: GH1 17:59348294-59349886
27: GH2 17:59311323-59312911
28: GHR 5:42459783-42757736
29: GRB2 17:70825753-70913384
30: IFNA10 9:21196180-21197142
31: IFNA13 9:21430440-21431315
32: IFNA14 9:21191234-21229990
33: IFNA16 9:21206372-21207310
34: IFNA17 9:21217242-21218221
35: IFNA2 9:21374253-21375387
36: IFNA21 9:21155636-21156659
37: IFNA4 9:21176693-21177670
38: IFNA5 9:21294325-21295311
39: IFNA6 9:21339834-21341377
40: IFNA7 9:21191234-21229990
41: IFNA8 9:21399146-21400184
42: IFNAR1 21:33619079-33654038
43: IFNAR2 21:33524076-33559839
44: IFNB1 9:21067104-21067962
45: IFNE1 9:21471067-21471693
46: IFNG 12:66834816-66839790
47: IFNGR1 6:137560314-137582279
48: IFNGR2 21:33697072-33731698
49: IFNK 9:27514302-27516491
50: IFNW1 9:21130213-21132144
51: IL10 1:205007570-205012462
52: IL10RA 11:117362319-117377404
53: IL10RB 21:33560533-33591409
54: IL11 19:60567569-60573626
55: IL11RA 9:34636635-34651884
56: IL12A 3:161189323-161196499
57: IL12B 5:158674369-158690059
58: IL12RB1 19:18031701-18058702
59: IL12RB2 1:67545635-67635171
60: IL13 5:132021764-132024701
61: IL13RA1 X:117745563-117812530
62: IL13RA2 X:114144794-114159792
63: IL15 4:142777204-142874061
64: IL15RA 10:6034340-6060156
65: IL19 1:205038838-205082949
66: IL2 4:123592080-123597339
67: IL20 1:205105322-205109191
68: IL20RA 6:137362801-137407991
69: IL21 4:123753221-123761662
70: IL21R 16:27321224-27369616
71: IL22 12:66928292-66933651
72: IL22RA1 1:24318848-24342198
73: IL22RA2 6:137506651-137536478
74: IL23A 12:55018926-55020460
75: IL23R 1:67404671-67498250
76: IL24 1:205137411-205144107
77: IL26 12:66881892-66905803
78: IL28A 19:44451149-44452493
79: IL28B 19:44426033-44427609
80: IL28RA 1:24353234-24387036
81: IL29 19:44478805-44481152
82: IL2RA 10:6092658-6144294
83: IL2RB 22:35851824-35875908
84: IL2RG X:70243979-70248188
85: IL3 5:131424121-131426796
86: IL3RA X:1415509-1461581
87: IL4 5:132037272-132046267
88: IL4R 16:27259005-27283599
89: IL5 5:131905035-131907113
90: IL5RA 3:3086421-3127031
91: IL6 7:22732028-22738091
92: IL6R 1:152644293-152708550
93: IL6ST 5:55266680-55326529
94: IL7 8:79807564-79880313
95: IL7R 5:35892748-35915462
96: IL9 5:135255834-135259415
97: IL9R X:154880440-154893676
98: IRF9 14:23685936-23706451
99: JAK1 1:65071500-65204775
100: JAK2 9:4975245-5118183
101: JAK3 19:17788324-17819800
102: LEP 7:127668567-127684917
103: LEPR 1:65658858-65879830
104: LIF 22:28966441-28972748
105: LIFR 5:38510823-38631253
106: MPL 1:43576065-43591030
107: MYC 8:128817498-128822853
108: OSM 22:28988821-28992840
109: OSMR 5:38881893-38971500
110: PIAS1 15:66165695-66267392
111: PIAS2 18:42646058-42751464
112: PIAS3 1:144287346-144297903
113: PIAS4 19:3958748-3990383
114: PIK3CA 3:180349005-180435189
115: PIK3CB 3:139856921-139960875
116: PIK3CD 1:9634390-9711564
117: PIK3CG 7:106292977-106334801
118: PIK3R1 5:67547360-67633403
119: PIK3R2 19:18125016-18142343
120: PIK3R3 1:46278399-46371054
121: PIK3R5 17:8722953-8756559
122: PIM1 6:37245957-37251180
123: PRL 6:22395459-22405709
124: PRLR 5:35084621-35266334
125: PTPN11 12:111340919-111432099
126: PTPN6 12:6930763-6940740
127: SOCS1 16:11255775-11257540
128: SOCS2 12:92487729-92494109
129: SOCS3 17:73864459-73867753
130: SOCS4 14:54563594-54585957
131: SOCS5 2:46779595-46843424
132: SOCS7 17:33761531-33809541
133: SOS1 2:39066469-39201067
134: SOS2 14:49654812-49767751
135: SPRED1 15:36331808-36433526
136: SPRED2 2:65391492-65512815
137: SPRY1 4:124537406-124544357
138: SPRY2 13:79808112-79813918
139: SPRY3 X:154650645-154665315
140: SPRY4 5:141670189-141684750
141: STAM 10:17726130-17797919
142: STAM2 2:152683353-152740752
143: STAT1 2:191542121-191587181
144: STAT2 12:55021651-55040176
145: STAT3 17:37718869-37794039
146: STAT4 2:191602553-191724539
147: STAT5A 17:37693091-37717484
148: STAT5B 17:37604722-37681950
149: STAT6 12:55775462-55791428
150: TPO 2:1396240-1525506
151: TSLP 5:110433677-110441622
152: TYK2 19:10322205-10350114

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Recent Literature

Effects of signal transducer and activator of transcription (STAT) genes STAT1 and STAT3 genotypic combinations on fertilization and embryonic survival rates in Holstein cattle.

J Dairy Sci. 2009 Dec; 92(12): 6186-6191
Khatib H, Huang W, Mikheil D, Schutzkus V, Monson RL

Infertility is a major cause of dairy cow culling and economic loss. Signal transducer and activator of transcription (STAT) proteins are transcription factors that play an important role in fertility and early embryonic development, among many other functions. Previous studies have reported the association of several genes from the JAK/STAT signaling pathway with fertility traits in cattle. The STAT1 and STAT3 genes are members of this pathway and are known to interact with each other by forming a heterodimer complex that enters the nucleus and controls expression of specific genes. Thus, the objective of this study was to investigate the effects of the interactions between polymorphisms in these genes on fertilization and early embryonic survival rates using an in vitro fertilization system. A total of 7,519 oocytes, collected from 445 ovaries, were exposed to sperm and a total of 5,075 embryos were produced. Fertilization rate was calculated as the number of cleaved embryos at 48 h post-fertilization out of the total number of oocytes exposed to sperm. Early embryonic survival rate of embryos was calculated as the number of blastocysts on d 7 of development out of the total number of embryos cultured. Effects of ovary genotypes on fertilization and early embryonic survival rates were evaluated. Single-SNP analysis revealed a statistically significant association between SNP25402 in STAT3 and fertilization rate. Oocytes produced from ovaries with AA genotype showed a 0.701 fertilization rate versus 0.666 and 0.663 for oocytes produced from AC and CC ovaries, respectively. The interaction between STAT3 SNP (SNP19069/SNP25402) was highly significant for survival rate but not for fertilization rate. Also, the interaction between STAT1 SNP and SNP19069 was highly significant for survival rate. Genotype combinations found to promote fertilization and embryonic survival could be incorporated into breeding programs aimed at improving fertility performance in dairy cattle.

Oncostatin M and leukemia inhibitory factor increase hepcidin expression in hepatoma cell lines.

Int J Hematol. 2009 Nov 14;
Kanda J, Uchiyama T, Tomosugi N, Higuchi M, Uchiyama T, Kawabata H

Overproduction of hepcidin by interleukin-6 (IL-6) is considered to be the main factor responsible for the development of anemia in inflammatory conditions. Since oncostatin M (OSM), a member of the IL-6 family, plays an important role in immune and inflammatory responses, we assessed the effect of OSM on hepcidin expression, as well as that of leukemia inhibitory factor (LIF), another member of the IL-6 family. We found that hepcidin expression was markedly induced by OSM and LIF in a time- and dose-dependent manner in hepatoma cell lines, and this expression was induced independent of IL-6/IL-6 receptor signaling. Luciferase assay revealed that OSM and LIF stimulated a -1.3-kb hepcidin promoter. This effect was markedly reduced when the signal transducer and activator of transcription (STAT) site of the promoter was mutated, and was almost completely abolished in the presence of AG-490, a Janus kinase (JAK) inhibitor. Hence, the JAK/STAT pathway plays a major role in OSM- and LIF-induced activation of the hepcidin promoter. In conclusion, we demonstrated that OSM and LIF can induce hepcidin expression mainly through the JAK/STAT pathways. Further studies are warranted to evaluate the clinical significance of OSM and LIF in the development of anemia in various inflammatory diseases.

Dysregulation of sterol regulatory element binding protein-1c in livers of morbidly obese women is associated with altered suppressor of cytokine signaling-3 and signal transducer and activator of transcription-1 signaling.

Metabolism. 2009 Nov 13;
Elam MB, Yellaturu C, Howell GE, Deng X, Cowan GS, Kumar P, Park EA, Hiler ML, Wilcox HG, Hughes TA, Cook GA, Raghow R

We compared hepatic expression of genes that regulate lipid biosynthesis and metabolic signaling in liver biopsy specimens from women who were undergoing gastric bypass surgery (GBP) for morbid obesity with that in women undergoing ventral hernia repair who had experienced massive weight loss (MWL) after prior GBP. Comprehensive metabolic profiles of morbidly obese (MO) (22 subjects) and MWL (9 subjects) were also compared. Analyses of gene expression in liver biopsies from MO and MWL were accomplished by Affymetrix microarray, real-time polymerase chain reaction, and Western blotting techniques. After GBP, MWL subjects had lost on average 102 lb as compared with MO subjects. This was accompanied by effective reversal of the dyslipidemia and insulin resistance that were present in MO. As compared with MWL, livers of MO subjects exhibited increased expression of sterol regulatory element binding protein (SREBP)-1c and its downstream lipogenic targets, fatty acid synthase and acetyl-coenzyme A-carboxylase-1. Livers of MO subjects also exhibited enhanced expression of suppressor of cytokine signaling-3 protein and attenuated Janus kinase signal transducer and activator of transcription (JAK/STAT) signaling. Consistent with these findings, we found that the human SREBP-1c promoter was positively regulated by insulin and negatively regulated by STAT3. These data support the hypothesis that suppressor of cytokine signaling-3-mediated attenuation of the STAT signaling pathway and resulting enhanced expression of SREBP-1c, a key regulator of de novo lipid biosynthesis, are mechanistically related to the development of hepatic insulin resistance and dyslipidemia in MO women.

JAK/STAT signaling coordinates stem cell proliferation and multilineage differentiation in the Drosophila intestinal stem cell lineage.

Dev Biol. 2009 Nov 6;
Beebe K, Lee WC, Micchelli CA

Adult stem cells are the most primitive cells of a lineage and are distinguished by the properties of self-renewal and multipotency. Coordinated control of stem cell proliferation and multilineage differentiation is essential to ensure a steady output of differentiated daughter cells necessary to maintain tissue homeostasis. However, little is known about the signals that coordinate stem cell proliferation and daughter cell differentiation. Here we investigate the role of the conserved JAK/STAT signaling pathway in the Drosophila intestinal stem cell (ISC) lineage. We show first, that JAK/STAT signaling is normally active in both ISCs and their newly formed daughters, but not in terminally differentiated enteroendocrine (ee) cells or enterocyte (EC) cells. Second, analysis of ISC lineages shows that JAK/STAT signaling is necessary but not sufficient for daughter cell differentiation, indicating that competence to undergo multilineage differentiation depends upon JAK/STAT. Finally, our analysis reveals JAK/STAT signaling to be a potent regulator of ISC proliferation, but not ISC self-renewal. On the basis of these findings, we suggest a model in which JAK/STAT signaling coordinates the processes of stem cell proliferation with the competence of daughter cells to undergo multilineage differentiation, ensuring a robust cellular output in the lineage.

Combined inhibition of janus kinase 1/2 for the treatment of JAK2V617F-driven neoplasms: selective effects on mutant cells and improvements in measures of disease severity.

Clin Cancer Res. 2009 Nov 15; 15(22): 6891-900
Liu PC, Caulder E, Li J, Waeltz P, Margulis A, Wynn R, Becker-Pasha M, Li Y, Crowgey E, Hollis G, Haley P, Sparks RB, Combs AP, Rodgers JD, Burn TC, Vaddi K, Fridman JS

PURPOSE: Deregulation of the Janus kinase-signal transducers and activators of transcription (Jak-STAT) pathway is a hallmark for the Philadelphia chromosome-negative myeloproliferative diseases polycythemia vera, essential thrombocythemia, and primary myelofibrosis. We tested the efficacy of a selective JAK1/2 inhibitor in cellular and in vivo models of JAK2-driven malignancy. EXPERIMENTAL DESIGN: A novel inhibitor of JAK1/2 was characterized using kinase assays. Cellular effects of this compound were measured in cell lines bearing the JAK2V617F or JAK1V658F mutation, and its antiproliferative activity against primary polycythemiavera patient cells was determined using clonogenic assays. Antineoplastic activity in vivo was determined using a JAK2V617F-driven xenograft model, and effects of the compound on survival, organomegaly, body weight, and disease-associated inflammatory markers were measured. RESULTS: INCB16562 potently inhibited proliferation of cell lines and primary cells from PV patients carrying the JAK2V617F or JAK1V658F mutation by blocking Jak-STAT signaling and inducing apoptosis. In vivo, INCB16562 reduced malignant cell burden, reversed splenomegaly and normalized splenic architecture, improved body weight gains, and extended survival in a model of JAK2V617F-driven hematologic malignancy. Moreover, these mice suffered from markedly elevated levels of inflammatory cytokines, similar to advanced myeloproliferative disease patients, which was reversed upon treatment. CONCLUSIONS: These data showed that administration of the dual JAK1/2 inhibitor INCB16562 reduces malignant cell burden, normalizes spleen size and architecture, suppresses inflammatory cytokines, improves weight gain, and extends survival in a rodent model of JAK2V617F-driven hematologic malignancy. Thus, selective inhibitors of JAK1 and JAK2 represent a novel therapy for the patients with myeloproliferative diseases and other neoplasms associated with JAK dysregulation.

Leptin--2548 g/A polymorphism in endometrial cancer.

Klin Onkol. 2009; 22(5): 223-7
Chovanec J, Bienertová-Vasků JA, Dostálová Z

BACKGROUND: Previously, the polymorphism-2548 G/A within the promoter of the leptin (LEP) gene was reported to be associated with overweight and obesity, the factors significantly associated to increased endometrial cancer risk. Leptin has been described to play an important role in signal transduction in endometrial cancer cells indicating that leptin promotes endometrial cancer growth and invasiveness and implicating the JAK/STAT and AKT pathways as critical mediators of leptin action. The aim of the study was to investigate the possible associations of LEP-2548 G/A polymorphism with endometrial cancer and its related traits. DESIGN: Using PCR with following restriction analysis, we studied 67 endometrial cancer cases (mean age 64.3 +/- 10.3 years) that were enrolled in the study along with 67 controls matched for age, BMI and ethnic origin (mean age 62.1 +/-9.8 years); an additional cohort of 543 healthy individual was recruited to investigate the general population frequencies. RESULTS:The present study revealed no significant differences between the genotypes or alleles of investigated polymorphism for endometrial cancer risk or its related traits (age of menarche, menopause, number of spontaneous abortions in personal history or waiting time till the onset of the disease) among the groups, thus indicating that the genetic variants of LEP-2548 G/A is not a relevant marker of endometrial cancer risk in this Czech population. Conclusions:To conclude, the polymorphism LEP-2548 G/A doesn't seem to represent a major genetic marker for endometrial cancer in the studied Czech population; however, it was associated with obesity, which finding is in accordance with previous reports.

Simulation-based model selection for dynamical systems in systems and population biology.

Bioinformatics. 2009 Oct 29;
Toni T, Stumpf MP

MOTIVATION: Computer simulations have become an important tool across the biomedical sciences and beyond. For many important problems several different models or hypotheses exist and choosing which one best describes reality or observed data is not straightforward. We therefore require suitable statistical tools that allow us to choose rationally between different mechanistic models of e.g. signal transduction or gene regulation networks. This is particularly challenging in systems biology where only a small number of molecular species can be assayed at any given time and all measurements are subject to measurement uncertainty. RESULTS: Here we develop such a model selection framework based on approximate Bayesian computation and employing sequential Monte Carlo sampling. We show that our approach can be applied across a wide range of biological scenarios, and we illustrate its use on real data describing influenza dynamics and the Jak-STAT signalling pathway. Bayesian model selection strikes a balance between the complexity of the simulation models and their ability to describe observed data. The present approach enables us to employ the whole formal apparatus to any system that can be (efficiently) simulated, even when exact likelihoods are computationally intractable. CONTACT: ttoni@imperial.ac.uk, m.stumpf@imperial.ac.uk SUPPLEMENTARY INFORMATION: Tutorial on ABC rejection and ABC SMC for parameter estimation and model selection. Derivation of ABC SMC model selection algorithms. Supplementary figures and datasets.

Progesterone in pregnancy; receptor-ligand interaction and signaling pathways.

J Reprod Immunol. 2009 Oct 30;
Szekeres-Bartho J, Halasz M, Palkovics T

Progesterone is indispensable in creating a suitable endometrial environment for implantation, and also for the maintenance of pregnancy. Successful pregnancy depends on an appropriate maternal immune response to the fetus. Along with its endocrine effects, progesterone also acts as an "immunosteroid", by contributing to the establishment of a pregnancy protective immune milieu. Progesterone plays a role in uterine homing of NK cells and upregulates HLA-G gene expression, the ligand for NK inhibitory and activating receptors. At high concentrations, progesterone is a potent inducer of Th2-type cytokines as well as of LIF and M-CSF production by T cells. A protein called progesterone-induced blocking factor (PIBF), by inducing a Th2-dominant cytokine production mediates the immunological effects of progesterone. PIBF binds to a novel type of the IL-4 receptor and signals via the Jak/STAT pathway, to induce a number of genes, that not only affect the immune response, but might also play a role in trophoblast invasiveness.

About combs, notches, and tumors: epigenetics meets signaling.

Dev Cell. 2009 Oct; 17(4): 440-2
Merdes G, Paro R

The identities of cells, determined by differential gene expression, are heritably maintained by the antagonistic functions of Polycomb group (PcG) and Trithorax group proteins. Two recent papers shed new light on tumor suppressive functions of PcG by reporting direct silencing of the Notch and JAK/STAT signaling pathways in Drosophila melanogaster.

Human Cytomegalovirus Induces the Interferon Response Via the DNA Sensor ZBP1.

J Virol. 2009 Oct 21;
Defilippis VR, Alvarado D, Sali T, Rothenburg S, Früh K

Human cytomegalovirus (HCMV) is a member of the beta herpesvirus family that, unlike other herpesviruses, triggers a strong innate immune response in infected cells that includes transcription of the interferon beta gene via activation of interferon regulatory factor 3 (IRF3). IRF3 activation requires signaling from pattern recognition receptors that is initiated by their interaction with specific pathogen-associated molecules. Yet while IRF3-activating pathways are increasingly well-characterized, the cellular molecules involved in HCMV-mediated IRF3-dependent interferon beta transcription are virtually unknown. We undertook a systematic examination of new and established IRF3-terminal pathway components to identify those that are essential to HCMV-triggered IRF3 activation. We show here that IRF3 activation induced by HCMV infection involves the newly identified protein STING but, in contrast to infections with other herpesviruses, occurs independently of the adaptor molecule IPS-1. We also show that the protein DDX3 contributes to HCMV-triggered expression of interferon beta. Moreover, we identify Z-DNA binding protein 1 (ZBP1) as being both essential for IRF3 activation and interferon beta expression triggered by HCMV as well as being sufficient to enhance HCMV-stimulated interferon beta transcription and secretion. ZBP1 transcription was also found to be induced following exposure to HCMV in a JAK/STAT-dependent manner thus perhaps also contributing to a positive feedback signal. Finally, we show that constitutive overexpression of ZBP1 inhibits HCMV replication. ZBP1 was recently identified as a cytosolic pattern recognition receptor of double stranded DNA and thus we propose a model for HCMV-mediated IRF3 activation that involves HCMV-associated DNA as the principal innate immune activating pathogen-associated molecular pattern.

Identification of tyrosine-phosphorylated proteins associated with metastasis and functional analysis of FER in human hepatocellular carcinoma cells.

BMC Cancer. 2009; 9: 366
Li H, Ren Z, Kang X, Zhang L, Li X, Wang Y, Xue T, Shen Y, Liu Y

BACKGROUND: Aberrant activity of tyrosine-phosphorylated proteins is commonly associated with HCC metastasis. Cell signaling events driven by these proteins are implicated in numerous processes that alter cancer cell behavior. Exploring the activities and signaling pathways of these proteins in HCC metastasis may help in identifying new candidate molecules for HCC-targeted therapy. METHODS: Hep3B (a nonmetastatic HCC cell line) and MHCC97H (a highly metastatic HCC cell line) were used in this study, and the tyrosine-phosphorylated proteins expressed in these cell lines were profiled by a phosphoproteomics technique based on LC-MS/MS. Protein-protein interaction and functional clustering analyses were performed to determine the activities of the identified proteins and the signaling pathways closely related to HCC metastasis. RESULTS: In both cell lines, a total of 247 phosphotyrosine (pTyr) proteins containing 281 pTyr sites were identified without any stimulation. The involvement of almost 30% of these in liver or liver cancer has not been reported previously. Biological process clustering analysis indicated that pTyr proteins involved in cell motility, migration, protein autophosphorylation, cell-cell communication, and antiapoptosis functions were overexpressed during metastasis. pathway clustering analysis revealed that signaling pathways such as those involved in EGFR signaling, cytokine- and chemokine-mediated signal transduction, and the PI3K and Jak-STAT cascades were significantly activated during HCC metastasis. Moreover, noncanonical regulation of the JNK cascade might also provide new targets for HCC metastasis. After comparing the pTyr proteins that were differentially expressed during HCC cell metastasis, we selected FER, a nonreceptor tyrosine kinase, and validated its role in terms of both expression and function. The data confirmed that FER might play a critical role in the invasion and metastasis of HCC. CONCLUSION: The identification of pTyr proteins and signaling pathways associated with HCC metastasis could provide useful information for selecting new molecular intervention targets. Moreover, FER might serve as a novel drug target in future HCC therapy.

JAK/STAT signaling pathway Regulates Nox1 and Nox4-Based NADPH Oxidase in Human Aortic Smooth Muscle Cells.

Arterioscler Thromb Vasc Biol. 2009 Oct 15;
Manea A, Irina Tanase L, Raicu M, Simionescu M

OBJECTIVE: Oxidative stress mediated by Nox1- and Nox4-based NADPH oxidase (Nox) plays a key role in vascular diseases. The molecular mechanisms involved in the regulation of Nox are not entirely elucidated. Because JAK/STAT regulates many genes linked to inflammation, cell proliferation, and differentiation, we questioned whether this pathway is involved in the regulation of Nox1 and Nox4 in human aortic smooth muscle cells (SMCs). METHODS AND RESULTS: Cultured SMCs were exposed to interferon gamma (IFNgamma) for 24 hours. Using lucigenin-enhanced chemiluminescence and dihydroethidium assays, real-time polymerase chain reaction, and Western blot analysis, we found that JAK/STAT inhibitors significantly diminished the IFNgamma-dependent upregulation of Nox activity, Nox1 and Nox4 expression. In silico analysis revealed the presence of highly conserved GAS elements within human Nox1, Nox4, p22phox, p47phox, and p67phox promoters. Transient overexpression of STAT1/STAT3 augmented the promoter activities of each subunit. JAK/STAT blockade reduced the Nox subunits transcription. Chromatin immunoprecipitation demonstrated the physical interaction of STAT1/STAT3 proteins with the predicted GAS elements from Nox1 and Nox4 promoters. CONCLUSIONS: JAK/STAT is a key regulator of Nox1 and Nox4 in human vascular SMCs. Inhibition of JAK/STAT pathway and the consequent Nox-dependent oxidative stress may be an efficient therapeutic strategy to reduce atherogenesis.

Cross-regulation of signaling pathways by interferon-gamma: implications for immune responses and autoimmune diseases.

Immunity. 2009 Oct 16; 31(4): 539-50
Hu X, Ivashkiv LB

Interferon-gamma (IFN-gamma) is an important mediator of immunity and inflammation that utilizes the Jak-STAT signaling pathway to activate the STAT1 transcription factor. Many functions of IFN-gamma have been ascribed to direct STAT1-mediated induction of immune effector genes, but recently it has become clear that key IFN-gamma functions are mediated by cross-regulation of cellular responses to other cytokines and inflammatory factors. Here, we review mechanisms by which IFN-gamma and STAT1 regulate signaling by Toll-like receptors, inflammatory factors, tissue-destructive cytokines, anti-inflammatory cytokines, and cytokines that activate opposing STATs. These signaling mechanisms reveal insights about how IFN-gamma regulates macrophage activation, inflammation, tissue remodeling, and helper and regulatory T cell differentiation and how Th1 and Th17 cell responses are integrated in autoimmune diseases.

Sorafenib inhibits signal transducer and activator of transcription-3 signaling in cholangiocarcinoma cells by activating the phosphatase shatterproof 2.

Hepatology. 2009 Aug 5;
Blechacz BR, Smoot RL, Bronk SF, Werneburg NW, Sirica AE, Gores GJ

The Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway is one of the key signaling cascades in cholangiocarcinoma (CCA) cells, mediating their resistance to apoptosis. Our aim was to ascertain if sorafenib, a multikinase inhibitor, may also inhibit JAK/STAT signaling and, therefore, be efficacious for CCA. Sorafenib treatment of three human CCA cell lines resulted in Tyr(705) phospho-STAT3 dephosphorylation. Similar results were obtained with the Raf-kinase inhibitor ZM336372, suggesting sorafenib promotes Tyr(705) phospho-STAT3 dephosphorylation by inhibiting Raf-kinase activity. Sorafenib treatment enhanced an activating phosphorylation of the phosphatase SHP2. Consistent with this observation, small interfering RNA-mediated knockdown of phosphatase shatterproof 2 (SHP2) inhibited sorafenib-induced Tyr(705) phospho-STAT3 dephosphorylation. Sorafenib treatment also decreased the expression of Mcl-1 messenger RNA and protein, a STAT3 transcriptional target, as well as sensitizing CCA cells to tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-mediated apoptosis. In an orthotopic, syngeneic CCA model in rats, sorafenib displayed significant tumor suppression resulting in a survival benefit for treated animals. In this in vivo model, sorafenib also decreased tumor Tyr(705) STAT3 phosphorylation and increased tumor cell apoptosis. Conclusion: Sorafenib accelerates STAT3 dephosphorylation by stimulating phosphatase SHP2 activity, sensitizes CCA cells to TRAIL-mediated apoptosis, and is therapeutic in a syngeneic rat, orthotopic CCA model that mimics human disease. (HEPATOLOGY 2009.).

Molecular mechanisms of viral immune evasion proteins to inhibit MHC class I antigen processing and presentation.

Int Rev Immunol. 2009; 28(5): 376-93
Zhou F

Viral products inhibit MHC class I antigen processing and presentation via three major pathways: inhibition of major histocompatibility complex (MHC) class I expression on cells, blockade of peptide trafficking and loading on MHC class I molecules, and inhibition of peptide generation in host cells. Viral products also interfere with IFN-gamma -mediated JAK/STAT signal transduction in cells. These results imply that viral proteins probably inhibit the function of IFN-gamma in MHC class I antigen presentation via inactivation of JAK/STAT signal transduction in host cells. Mechanisms of viral products to inhibit IFN-gamma -mediated MHC class I antigen presentation were summarized in this literature review.

An evolutionary conserved function of the Jak-STAT pathway in anti-dengue defense.

Proc Natl Acad Sci U S A. 2009 Oct 20; 106(42): 17841-6
Souza-Neto JA, Sim S, Dimopoulos G

Here, we show that the major mosquito vector for dengue virus uses the Jak-STAT pathway to control virus infection. Dengue virus infection in Aedes aegypti mosquitoes activates the Jak-STAT immune signaling pathway. The mosquito's susceptibility to dengue virus infection increases when the Jak-STAT pathway is suppressed through RNAi depletion of its receptor Domeless (Dome) and the Janus kinase (Hop), whereas mosquitoes become more resistant to the virus when the negative regulator of the Jak-STAT pathway, PIAS, is silenced. The Jak-STAT pathway exerts its anti-dengue activity presumably through one or several STAT-regulated effectors. We have identified, and partially characterized, two Jak-STAT pathway-regulated and infection-responsive dengue virus restriction factors (DVRFs) that contain putative STAT-binding sites in their promoter regions. Our data suggest that the Jak-STAT pathway is part of the A. aegypti mosquito's anti-dengue defense and may act independently of the Toll pathway and the RNAi-mediated antiviral defenses.

Subversion of interferon by dengue virus.

Curr Top Microbiol Immunol. 2010; 338: 35-44
Muñoz-Jordán JL

Dengue virus is sensed in mammalian cells by Toll-like receptors and DExD/H box RNA helicases, triggering a Type 1 interferon response. Interferon acts upon infected and noninfected cells by stimulating the JAK/STAT signaling pathway resulting in the activation of interferon stimulated genes that lead cells toward the establishment of an antiviral response. The recognition of the importance of this rapid protective response should come with the realization that dengue virus would circumvent the interferon response to propagate in the host. There is recent, mounting evidence for mechanisms encoded by the dengue virus that weaken interferon signaling. Nonstructural proteins expressed separately or in replicon vectors block phosphorylation and down-regulate expression of major components of the JAK/STAT pathway, causing reduced activation of gene expression in response to IFNalpha/beta interferon. As our understanding of viral-host interaction increases, opportunities for improved biological models and therapeutics discovery arise.

Jak-STAT signal inhibition regulates competition in the Drosophila testis stem cell niche.

Science. 2009 Oct 2; 326(5949): 153-6
Issigonis M, Tulina N, de Cuevas M, Brawley C, Sandler L, Matunis E

Adult stem cells often reside in local microenvironments, or niches. Although niches can contain multiple types of stem cells, the coordinate regulation of stem cell behavior is poorly understood. In the Drosophila testis, Janus kinase-signal transducer and activator of transcription (Jak-STAT) signaling is directly required for maintenance of the resident germline and somatic stem cells. We found that the Jak-STAT signaling target and inhibitor Suppressor of cytokine signaling 36E (SOCS36E) is required for germline stem cell maintenance. SOCS36E suppresses Jak-STAT signaling specifically in the somatic stem cells, preventing them from displacing neighboring germline stem cells in a manner that depends on the adhesion protein integrin. Thus, in niches housing multiple stem cell types, negative feedback loops can modulate signaling, preventing one stem cell population from outcompeting the other.

Paracrine Unpaired signaling through the JAK/STAT pathway Controls Self-renewal and Lineage Differentiation of Drosophila Intestinal Stem Cells.

J Mol Cell Biol. 2009 Sep 30;
Lin G, Xu N, Xi R

Drosophila and mammalian intestinal stem cells (ISCs) share similarities in their regulatory mechanisms, with both requiring Wingless (Wg)/Wnt signaling for their self-renewal, although additional regulatory mechanisms are largely unknown. Here we report the identification of Unpaired as another paracrine signal from the muscular niche, which activates a canonical JAK/STAT signaling cascade in Drosophila ISCs to regulate ISC self-renewal and differentiation. We show that compromised JAK signaling causes ISC quiescence and loss, whereas signaling overactivation produces extra ISC-like and progenitor cells. Simultaneous disruption or activation of both JAK and Wg signaling in ISCs results in a stronger ISC loss or a greater expansion of ISC-like cells, respectively, than by altering either pathway alone, indicating that the two pathways function in parallel. Furthermore, we show that loss of JAK signaling causes blockage of enteroblast differentiation and reduced JAK signaling preferentially affects enteroendocrine (ee) cell differentiation. Conversely, JAK overactivation produces extra differentiated cells, especially ee cells. Together with the functional analysis with Notch (N), we suggest two separate roles of JAK/STAT signaling in Drosophila ISC lineages: it functions upstream of N, in parallel and cooperatively with Wg signaling to control ISC self-renewal; it also antagonizes with N activity to control the binary fate choice of intestinal progenitor cells.

IFN{gamma} Regulates Retinal Pigment Epithelial Fluid Transport.

Am J Physiol Cell Physiol. 2009 Oct 7;
Li R, Maminishkis A, Banzon T, Wan Q, Jalickee S, Chen S, Miller SS

The present experiments show that IFNgamma receptors are mainly localized to the basolateral membrane of human retinal pigment epithelium (RPE). Activation of these receptors in primary cultures of human fetal RPE inhibited cell proliferation and migration, decreased RPE mitochondrial membrane potential, altered transepithelial potential and resistance, and significantly increased transepithelial fluid absorption (JV). These effects are mediated through JAK/STAT and P38 MAPK signaling pathways. Second messenger signaling through cAMP/PKA and IRF-1 dependent production of nitric oxide/cGMP stimulated the cystic fibrosis transmembrane conductance regulator (CFTR) at the basolateral membrane and increased transepithelial fluid absorption. In vivo experiments using a rat model of retinal reattachment showed that IFNgamma applied to the anterior surface of the eye can remove extra fluid deposited in the extracellular or subretinal space (SRS) between the retinal photoreceptors and RPE. This removal was blocked by a combination of PKA and JAK/STAT pathway inhibitors injected into the SRS. These results demonstrate a protective role for IFNgamma in regulating retinal hydration across the outer-blood-retinal barrier in inflammatory disease processes and provide the basis for possible therapeutic interventions.