Kegg Pathway: Tryptophan metabolism

KEGG ID: 00380

Reference Diagram

KEGG Diagram for Tryptophan metabolism

Rat

There are 40 IPI Records from this pathway found in Rattus norvegicus.

Location of Tryptophan metabolism proteins on Rat Genome

IPI Record Position
1: Aanat 10:106709183-106713683
2: Abp1 4:76957477-76977650
3: Acat1 8:57044707-57072970
4: Acmsd 13:40547366-40573704
5: Aldh1a7 1:223833318-223875827
6: Aldh2 12:36081803-36116118
7: Aldh3a2 10:47403406-47421068
8: Aldh9a1 13:83017310-83034047
9: Aox1 9:56693746-56773894
10: Cat 3:88654077-88686212
11: Ccbl1 3:9195403-9262968
12: Cyp1a1 8:61462207-61468237
13: Cyp1a2 8:61439330-61445517
14: Cyp1b1 6:2548542-2553015
15: Cyp3a23/3a1 12:9566781-9595971
16: Ddc 14:92695451-92788635
17: Echs1 1:199901585-199910412
18: Ehhadh 11:81474172-81507660
19: Fancl_predicted 14:107211450-107276305
20: Haao 6:7197344-7210456
21: Hadh2 X:41489343-41491788
22: Hadha 6:26185222-26191435
23: Hadhsc 2:228698545-228751691
24: Hemk1_predicted 8:112568399-112578921
25: Hrmt1l2 1:95449057-95458272
26: Hrmt1l3 1:99581943-99668610
27: Hsd17b4 18:45157435-45251530
28: Indo 16:71866340-71878373
29: Kmo 13:91363517-91394174
30: Kynu 3:24053612-24195583
31: Lnx1_predicted 14:35905410-35992201
32: Maob X:17596745-17657089
33: Mettl6 16:6924452-6939562
34: Ogdhl_predicted 16:7836152-7858974
35: RGD1563278_predicted 11:53079495-53134110
36: Rnf25 9:73944155-73950975
37: Tdo2 2:173594018-173611833
38: Tph1 1:97186071-97207551
39: Tph2 7:54321033-54430706
40: Uhrf1 :-

Mouse

There are 40 IPI Records from this pathway found in Mus musculus.

Location of Tryptophan metabolism proteins on Mouse Genome

IPI Record Position
1: Aadat 8:63398266-63437819
2: Aanat 11:116409777-116413635
3: Abp1 6:48824840-48838774
4: Acat1 9:53342917-53372745
5: Acat2 17:12786794-12803595
6: Afmid 11:117642014-117655998
7: Aldh1b1 4:45820149-45825699
8: Aldh2 5:121828319-121854203
9: Aldh3a2 11:61039612-61083380
10: Aldh7a1 18:56651105-56698241
11: Aldh9a1 1:169186888-169204961
12: Aloxe3 11:68942572-68965309
13: Aoc2 :-
14: Aoc3 :-
15: Brap 5:121921203-121947867
16: Carm1 9:21297380-21339862
17: Cat 2:103254746-103285962
18: Ccbl1 2:30007137-30027856
19: Chfr 5:110376162-110412271
20: Cnot4 6:34975105-35063856
21: Cyp1a1 9:57449522-57501958
22: Cyp1a2 9:57475074-57481792
23: Cyp1b1 17:79615279-79623367
24: Ddc 11:11714107-11798103
25: Dzip3 16:48845618-48913716
26: Echs1 7:139957032-139967776
27: Ehhadh 16:21675270-21701786
28: Fancl 11:26287084-26371876
29: Gcdh 8:87776714-87783856
30: Haao 17:83739482-83755075
31: Hadh 3:131222609-131261198
32: Hadha 5:30449091-30485767
33: Hemk1 9:107185804-107196396
34: Hsd17b10 X:147342597-147345155
35: Hsd17b4 18:50253531-50321514
36: Indo 8:26049686-26062554
37: IPI00342603 14:31154804-31176632
38: IPI00350247 14:49711764-49715805
39: Kmo 1:177457109-177498791
40: Kynu 2:43377338-43504724
41: Lnx1 5:74874144-74984593
42: Lrsam1 2:32747229-32783260
43: Maoa X:15776657-15844677
44: Maob X:15866998-15927979
45: Mettl2 11:104942577-104956503
46: Mettl6 14:30307329-30324039
47: Mib1 18:10725623-10812215
48: Mylip 13:45400714-45422912
49: Ogdh 11:6191600-6259101
50: Phr1 14:101999559-102232127
51: Pja1 :-
52: Prmt1 7:44844800-44854398
53: Prmt2 10:75650945-75681547
54: Prmt3 7:49646367-49726286
55: Prmt5 14:53461387-53471564
56: Prmt6 3:110374168-110379049
57: Prmt7 8:109100159-109140821
58: Prmt8 6:127654626-127734366
59: Rnf144b 13:47133692-47257448
60: Rnf25 1:74526960-74534604
61: Tdo2 3:82044339-82061655
62: Tph1 7:46515203-46540579
63: Tph2 10:114482749-114589132
64: Traf7 :-
65: Trim11 11:58794311-58807653
66: Ube3a 7:59096621-59174596
67: Ube3c 5:29900029-30006864
68: Uhrf1 17:55937126-55957195
69: Wars 12:109308119-109341920
70: Wars2 3:99270151-99349264
71: Wbscr22 5:135337586-135349586

Human

There are 40 IPI Records from this pathway found in Homo sapiens.

Location of Tryptophan metabolism proteins on Human Genome

IPI Record Position
1: AADAT 4:171217948-171247947
2: AANAT 17:71961028-71977793
3: ABP1 7:150180498-150189310
4: ACAT1 11:107497468-107523485
5: ACAT2 6:160101350-160120077
6: ACMSD 2:135312723-135375900
7: AFMID 17:73695047-73715360
8: ALDH1A3 15:99237580-99274349
9: ALDH1B1 9:38382661-38388658
10: ALDH2 12:110688729-110732165
11: ALDH3A1 17:19581895-19592338
12: ALDH3A2 17:19492431-19521496
13: ALDH7A1 5:125908348-125958839
14: ALDH9A1 1:163898077-163934724
15: ALOXE3 17:7939943-7962532
16: AMFR 16:54952865-55016804
17: AOC2 17:38250135-38256248
18: AOC3 17:38256727-38263664
19: AOX1 2:201158976-201244460
20: ASMT X:1693894-1721974
21: BRAP 12:110565881-110608138
22: CARM1 19:10843253-10894448
23: CAT 11:34417054-34450176
24: CCNB1IP1 14:19849370-19871297
25: CHFR 12:131927011-131974267
26: CNOT4 7:134697975-134845365
27: CYP1A1 15:72798943-72802491
28: CYP1A2 15:72828237-72835994
29: CYP1B1 2:38148154-38156796
30: CYP4F11 19:15884181-15906326
31: CYP4F12 19:15645340-15668895
32: CYP4F8 19:15587421-15601445
33: DDC 7:50493657-50600537
34: DZIP3 3:109791274-109896382
35: ECHS1 10:135025974-135037183
36: EHHADH 3:186391108-186454531
37: FANCL 2:58239884-58322018
38: GCDH 19:12862974-12871782
39: HAAO 2:42847736-42873238
40: HADH 4:109130319-109175772
41: HADHA 2:26267008-26321098
42: HEMK1 3:50581913-50597426
43: HSD17B10 X:53474931-53478045
44: HSD17B4 5:118816103-118905926
45: INDO 8:39890545-39905120
46: INMT 7:30758276-30763743
47: KMO 1:239762057-239825567
48: KYNU 2:143351537-143516309
49: LCMT1 16:25030557-25097053
50: LCMT2 15:41407919-41409979
51: LNX1 4:54020225-54152481
52: LRSAM1 9:129253605-129305599
53: MAOA X:43400353-43491011
54: MAOB X:43510802-43626637
55: METTL2B 7:127904056-127930187
56: METTL6 3:15427841-15444043
57: MIB1 18:17575543-17704912
58: MYLIP 6:16237296-16256455
59: NFX1 9:33280509-33361155
60: OGDH 7:44612696-44715193
61: OGDHL 10:50612695-50640375
62: PJA1 X:68297419-68302089
63: PRMT2 21:46879507-46909280
64: PRMT3 11:20365682-20487404
65: PRMT5 14:22459579-22468501
66: PRMT6 1:107400824-107403439
67: PRMT7 16:66906803-66948663
68: PRMT8 12:3470686-3573397
69: RNF144B 6:18495573-18576827
70: RNF25 2:219236832-219245025
71: TDO2 4:157044297-157061000
72: TPH1 11:17997772-18018885
73: TPH2 12:70618893-70712488
74: TRAF7 16:2145800-2168130
75: TRIM11 1:226647996-226661164
76: TRIM5 11:5641363-5850164
77: UBE3A 15:23133489-23235221
78: UBE3C 7:156624425-156754823
79: UHRF1 19:4860513-4913158
80: WARS 14:99869878-99912433
81: WARS2 1:119375362-119484817
82: WBSCR22 7:72735834-72750477

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Recent Literature

[Effects of nitrogen forms on camptothecin content and its metabolism-related enzymes activities in Camptotheca acuminata seedlings]

Zhongguo Zhong Yao Za Zhi. 2008 Jul; 33(13): 1519-23
Sun SQ, Yan XF

OBJECTIVE: To investigate the effects of nitrogen forms on the camptothecin (CPT) content, Tryptophan synthase (TSB) and Tryptophan decarboxylase (TDC) activities in Camptotheca acuminata seedlings. METHOD: The seedlings of C. acuminata with 6 pairs of leaves were subjected to 5 different NH4(+) -N/NO3(-) -N ratio (0 : 100, 75 : 25, 50 : 50, 25 : 75, 100 : 0) treatments by sand culture in a greenhouse. The CPT content, TSB activity in the young leaves and TDC in the stem barks of the seedlings were determined by HPLC on the 15th, 30th, 45th, 60th and 75th day, respectively. RESULT: The obvious relationship between CPT content and nitrogen forms was observed. When NH4(+) - N /NO3(-) -N ratio was 25 : 75, CPT accumulation in young leaves displayed the best advantages (the highest value is 5.69 per thousand) and increased in the early 30 days of treatment and then declined. There was no obvious relationship between TSB activity in the young leaves and nitrogen forms. TDC activity in the stem bark was the highest when NH4(+) -N /NO3(-) -N ratio was 25 : 75, and the change of TDC activity paralleled to CPT content in the young leaves. CONCLUSION: A short-term treatment that NH4(+) -N /NO3(-) -N ratio was 25:75 may gain high CPT content in the young leaves through enhancing the TDC activity in the stem bark of C. acuminata seedlings.

THE TRANSCRIPT AND METABOLITE NETWORKS EFFECTED BY THE TWO CLADES OF ARABIDOPSIS GLUCOSINOLATE BIOSYNTHESIS REGULATORS.

Plant Physiol. 2008 Oct 1;
Malitsky S, Blum E, Less H, Venger I, Elbaz M, Morin S, Eshed Y, Aharoni A

In this study, transcriptomics and metabolomics data was integrated in order to examine the regulation of glucosinolate (GS) biosynthesis in Arabidopsis and its interface with pathways of primary metabolism. Our genetic material for analyses were transgenic plants overexpressing members of two clades of genes (ATR1-like and MYB28-like) that regulate the aliphatic and indole GSs biosynthetic pathways (AGs and IGs, respectively). We show that activity of these regulators is not restricted to the metabolic space surrounding GSs biosynthesis but is tightly linked to more distal metabolic networks of primary metabolism. This suggests that with similarity to the regulators we have investigated here, other factors controlling pathways of secondary metabolism might also control core pathways of central metabolism. The relatively broad view of transcript and metabolites altered in transgenic plants overexpressing the different factors underlined novel links of GSs metabolism to additional metabolic pathways including those of jasmonic acid, folate, benzoic acid and various phenylpropanoids. It also revealed transcriptional and metabolic hubs in the "distal" network of metabolic pathways supplying precursors to GSs biosynthesis and that over expression of the ATR1-like clade genes has a much broader effect on metabolism of indolic compounds than described previously. While the reciprocal, negative cross talk between the methionine and Tryptophan pathways that generate GSs in Arabidopsis has been suggested previously we now show that it is not restricted to AGs and IGs but includes additional metabolites, as for example the phytoalexin camalexin. Combining the profiling data of transgenic lines with gene expression correlation analysis allowed us to propose a model of how the balance in the metabolic network is maintained by the GSs biosynthesis regulators. It appears that ATR1/MYB34 is an important mediator between the two clade genes activity. While it is very similar to the ATR1-like clade members in terms of downstream gene targets, its expression is highly correlated with the one of the MYB28-like clade members. Finally, we used the unique transgenic plants obtained here to show that AGs are likely more potent deterrents of white fly as compared to IGs. The influence on insect behavior raises an important question for future investigation on the functional aspect of our initial finding that pointed to enriched expression of the MYB28-like clade genes in the abaxial domain of the Arabidopsis leaf.

Synapse formation and cognitive brain development: effect of docosahexaenoic acid and other dietary constituents.

metabolism. 2008 Oct; 57 Suppl 2: S6-10
Wurtman RJ

The brain is unusual among organs in that the rates of many of its characteristic enzymatic reactions are controlled by the local concentrations of their substrates, which also happen to be nutrients that cross the blood-brain barrier. Thus, for example, brain levels of Tryptophan, tyrosine, or choline can control the rates at which neurons synthesize serotonin, dopamine, or acetylcholine, respectively. The rates at which brain cells produce membrane phospholipids such as phosphatidylcholine (PC) are also under such control, both in adult animals and, especially, during early development. If pregnant rats are fed the 3 dietary constituents needed for PC synthesis- docosahexaenoic acid, uridine, and choline-starting 10 days before parturition and continuing for 20 days during nursing, brain levels of PC, and of the other membrane phosphatides (per cell or per mg protein), are increased by 50% or more. In adult animals, this treatment is also known to increase synaptic proteins (eg, synapsin-l, syntaxin-3, GluR-l, PSD-95) but not ubiquitous proteins like beta-tubulin and to increase (by 30% or more) the number of dendritic spines on hippocampal neurons. Docosahexaenoic acid currently is widely used, in human infants, to diminish the negative effects of prematurity on cognitive development. Moreover, docosahexaenoic acid, uridine (as uridine monophosphate), and choline are all found in mother's milk, and included in most infant formulas. It is proposed that these substances are part of a regulatory mechanism through which plasma composition influences brain development.

Inhibitory CD8(+) T cells in autoimmune disease.

Hum Immunol. 2008 Sep 20;
Suzuki M, Konya C, Goronzy JJ, Weyand CM

Rheumatologists have long been focused on developing novel immunotherapeutic agents to manage such prototypic autoimmune disease as rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). The ultimate challenge in providing immunosuppressive treatment for patients with RA and SLE has derived from the dilemma that both protective and harmful immune responses result from adaptive immune responses, mediated by highly diverse, antigen-specific T and B cells endowed with powerful effector functions and the ability for long-lasting memory. As regulatory/suppressor T cells can suppress immunity against any antigen, including self-antigens, they emerge as an ideal therapeutic target. Several distinct subtypes of CD8(+) suppressor cells (Ts) have been described that could find application in treating RA or SLE. In a xenograft model of human synovium, CD8(+)CD28(-)CD56(+) T cells effectively suppressed rheumatoid inflammation. Underlying mechanisms involve conditioning of antigen presenting cells (APC). Adoptively transferred CD8(+) T cells characterized by IL-16 secretion have also exhibited disease-inhibitory effects. In mice with polyarthritis, CD8(+) Ts suppressed inflammation by IFNgamma-mediated modulation of the Tryptophan metabolism in APC. In SLE animal models, CD8(+) Ts induced by a synthetic peptide exerted suppressive activity mainly via the TGFbeta-Foxp3-PD1 pathway. CD8(+) Ts induced by histone peptides were found to downregulate disease activity by secreting TGFbeta. In essence, disease-specific approaches may be necessary to identify CD8(+) Ts optimally suited to treat immune dysfunctions in different autoimmune syndromes.

Another Abnormal Trait in the Serotonin metabolism Path in Intrauterine Growth-Restricted Infants.

Neonatology. 2008 Sep 6; 95(2): 125-131
Hernandez-Rodriguez J, Meneses L, Herrera R, Manjarrez G

Background: The present study was aimed to obtain information on the interaction kinetics of L-Tryptophan (L-Trp) with plasma albumin from normal, intrauterine growth-restricted (IUGR) and nutritionally recovered (NR) newborn infants. Methods: A case study cohort was planned in 37 newborns during the first 3 months of life. At birth two groups were formed. The first group included 20 newborns with IUGR. The control group (C) included 17 appropriate for gestational age newborns. At 30 days of age, 9 infants of the IUGR group showed a return to normal of the anthropometric parameters, these infants formed the NR group. Free, bound and total L-Trp were measured. To assess binding kinetics albumin was freed of fatty acids and tested in mole to mole samples from IUGR, NR and control babies. Results: Plasma free L-Trp was increased, K(d) (dissociation constant) elevated and B(max )(maximal binding)decreased in IUGR patients up to postnatal day 90. These changes remained even after nutritional recovery. Conclusions: Abnormal kinetics of L-Trp binding to albumin explains the increased availability of this precursor amino acid in the plasma of IUGR infants. This finding corroborates previous results in IUGR rats and newborn babies, indicating enhanced potential for brain serotonergic synthesis.

HPLC-mass spectrometry method for quantitative detection of neuroendocrine tumor markers: Vanillylmandelic acid, homovanillic acid and 5-hydroxyindoleacetic acid.

Clin Chim Acta. 2008 Aug 8;
Lionetto L, Lostia AM, Stigliano A, Cardelli P, Simmaco M

BACKGROUND: The urinary excretion of vanillylmandelic acid (VMA), homovanillic acid (HVA) and 5-hydroxyindoleacetic acid (5-HIAA) can be increased in the presence of neuroblastic and carcinoid tumors. The former is characterized by defective catecholamine metabolism which results in high urinary levels of VMA and HVA. The latter shows an altered metabolism of Tryptophan and an increased synthesis of serotonin, producing high 5-HIAA urinary concentrations. METHODS: We describe an HPLC-tandem mass spectrometric method for the simultaneous quantification of VMA, HVA and 5-HIAA in human urine. The chromatographic separation is performed on a reversed-phase C18 column. Instrumental analysis is performed on a Q-Trap 2000 triple quadrupole/ion trap mass spectrometer. RESULTS: The method is fast and does not require sample pre-treatment. Multiple calibration curve exhibited consistent linearity and reproducibility. Linear responses were observed in the concentration range 0-50 mg/l for each analyte. Limits of detection were 0.001 mg/l for VMA, 0.015 mg/l for 5-HIAA and 0.050 mg/l for HVA with a signal-to-noise ratio of 3. Limits of quantification were 0.005 mg/l for VMA, 0.050 mg/l for 5-HIAA and 0.1 mg/l for HVA with a signal-to-noise ratio of 10. CONCLUSIONS: This method can be proposed as a tool for neuroendocrine tumor markers detection.

Functional role of Trp-105 of Enterococcus faecalis azoreductase (AzoA) as resolved by structural and mutational analysis.

Microbiology. 2008 Sep; 154(Pt 9): 2659-67
Chen H, Xu H, Kweon O, Chen S, Cerniglia CE

Enterococcus faecalis azoreductase (AzoA) is a very active enzyme with a broad spectrum of substrate specificity and is capable of degrading various azo dyes. The enzyme has an absolute requirement for reduced FMN, which delivers a total of four electrons from NADH to the substrate, resulting in the cleavage of the nitrogen double bond. In this study, we report the identification of amino acid residues critical for FMN binding in AzoA. FMN is stabilized by 22 amino acid residues, eight of which, Trp-105, Asn-106, Leu-107, Gly-150, Gly-151, Tyr-153, Asn-121 and Tyr-129, are involved in binding the FMN isoalloxazine ring. In silico analysis of the amino acid residues revealed that the Trp residue at position 105 of AzoA is the most likely significant contributor to the binding of FMN to the enzyme and is involved in FMN stabilization and destabilization. Site-directed mutagenesis analysis of Trp-105 was performed to determine the role of this amino acid residue in FMN binding and azo dye reductive activity. The mutant proteins were overexpressed in Escherichia coli and purified by anion-exchange and size-exclusion chromatography. The replacement of Trp-105 by the small side-chain amino acids Ala and Gly caused complete loss of both affinity for FMN and enzyme activity. Substitution of Tyr for Trp-105 did not significantly decrease the V(max) of the enzyme (22 % reduction). Substitutions with three bulky side-chain amino acids, Gln, Phe and His, produced enzymes with lower V(max) values (decreases of 68.2, 30.6 and 8.2-fold, respectively). However, these mutated enzymes maintained K(m) values similar to the wild-type enzyme. This study provides an insight into the catalytic properties of AzoA in FMN stabilization and enzyme activity.

Microsecond acquisition of heterogeneous structure in the folding of a TIM barrel protein.

Proc Natl Acad Sci U S A. 2008 Sep 9; 105(36): 13367-72
Wu Y, Kondrashkina E, Kayatekin C, Matthews CR, Bilsel O

The earliest kinetic folding events for (betaalpha)(8) barrels reflect the appearance of off-pathway intermediates. Continuous-flow microchannel mixing methods interfaced to small-angle x-ray scattering (SAXS), circular dichroism (CD), time-resolved Förster resonant energy transfer (trFRET), and time-resolved fluorescence anisotropy (trFLAN) have been used to directly monitor global and specific dimensional properties of the partially folded state in the microsecond time range for a representative (betaalpha)(8) barrel protein. Within 150 micros, the alpha-subunit of Trp synthase (alphaTS) experiences a global collapse and the partial formation of secondary structure. The time resolution of the folding reaction was enhanced with trFRET and trFLAN to show that, within 30 micros, a distinct and autonomous partially collapsed structure has already formed in the N-terminal and central regions but not in the C-terminal region. A distance distribution analysis of the trFRET data confirmed the presence of a heterogeneous ensemble that persists for several hundreds of microseconds. Ready access to locally folded, stable substructures may be a hallmark of repeat-module proteins and the source of early kinetic traps in these very common motifs. Their folding free-energy landscapes should be elaborated to capture this source of frustration.

Aromatic amino acid-dependent expression of indole-3-pyruvate decarboxylase is regulated by TyrR in Enterobacter cloacae UW5.

J Bacteriol. 2008 Aug 29;
Ryu RJ, Patten CL

The plant growth-promoting rhizobacterium Enterobacter cloacae UW5 synthesizes the plant growth hormone indole-3-acetic acid (IAA) via the indole-3-pyruvate pathway utilizing the enzyme indole-3-pyruvate decarboxylase that is encoded by ipdC. In this bacterium, ipdC expression and IAA production occur in stationary phase and are induced by an exogenous source of Tryptophan, conditions that are present in the rhizosphere. The aim of this study was to identify the regulatory protein that controls expression of ipdC. We identified a sequence in the promoter region of ipdC that is highly similar to the recognition sequence for the E. coli regulatory protein TyrR that regulates genes involved in aromatic amino acid biosynthesis and metabolism. Using a tyrR insertional mutant, we demonstrated that TyrR is required for IAA production and for induction of ipdC transcription. TyrR directly induces ipdC expression as was determined by real-time qRT-PCR, by ipdC promoter-driven reporter gene activity, and by electrophoretic mobility shift assays. Expression increases in response to Tryptophan, phenylalanine, and tyrosine. This suggests that in addition to its function in plant growth-promotion, indolepyruvate decarboxylase is important for aromatic amino acid uptake and/or metabolism.

Manipulation of [11C]-5-hydroxyTryptophan and 6-[18F]fluoro-3,4-dihydroxy-L-phenylalanine accumulation in neuroendocrine tumor cells.

Cancer Res. 2008 Sep 1; 68(17): 7183-90
Neels OC, Koopmans KP, Jager PL, Vercauteren L, van Waarde A, Doorduin J, Timmer-Bosscha H, Brouwers AH, de Vries EG, Dierckx RA, Kema IP, Elsinga PH

[(11)C]-5-HydroxyTryptophan ([(11)C]HTP) and 6-[(18)F]fluoro-3,4-dihydroxy-l-phenylalanine ([(18)F]FDOPA) are used to image neuroendocrine tumors with positron emission tomography. The precise mechanism by which these tracers accumulate in tumor cells is unknown. We aimed to study tracer uptake via large amino acid transporters, peripheral decarboxylation (inhibited by carbidopa), and intracellular breakdown by monoamine oxidase (MAO). [(11)C]HTP and [(18)F]FDOPA tracer accumulation was assessed in a human neuroendocrine tumor cell line, BON. The carbidopa experiments were done in a tumor-bearing mouse model. Intracellular [(11)C]HTP accumulation was 2-fold higher than that of [(18)F]FDOPA. Cellular transport of both tracers was inhibited by amino-2-norbornanecarboxylic acid. The MAO inhibitors clorgyline and pargyline increased tracer accumulation in vitro. Carbidopa did not influence tracer accumulation in vitro but improved tumor imaging in vivo. Despite lower accumulation in vitro, visualization of [(18)F]FDOPA is superior to [(11)C]HTP in the neuroendocrine pancreatic tumor xenograft model. This could be a consequence of the serotonin saturation of BON cells in the in vivo model.

Structural and functional roles of deamidation and/or truncation of N- or C-termini in human alpha A-crystallin.

Biochemistry. 2008 Sep 23; 47(38): 10069-83
Chaves JM, Srivastava K, Gupta R, Srivastava OP

The purpose of the study was to compare the effects of deamidation alone, truncation alone, or both truncation and deamidation on structural and functional properties of human lens alphaA-crystallin. Specifically, the study investigated whether deamidation of one or two sites in alphaA-crystallin (i.e., alphaA-N101D, alphaA-N123D, alphaA-N101/123D) and/or truncation of the N-terminal domain (residues 1-63) or C-terminal extension (residues 140-173) affected the structural and functional properties relative to wild-type (WT) alphaA. Human WT-alphaA and human deamidated alphaA (alphaA-N101D, alphaA-N123D, alphaA-N101/123D) were used as templates to generate the following eight N-terminal domain (residues 1-63) deleted or C-terminal extension (residues 140-173) deleted alphaA mutants and deamidated plus N-terminal domain or C-terminal extension deleted mutants: (i) alphaA-NT (NT, N-terminal domain deleted), (ii) alphaA-N101D-NT, (iii) alphaA-N123D-NT, (iv) alphaA-N101/123D-NT, (v) alphaA-CT (CT, C-terminal extension deleted), (vi) alphaA-N101D-CT, (vii) alphaA-N123D-CT, and (viii) alphaA-N101/123D-CT. All of the proteins were purified and their structural and functional (chaperone activity) properties determined. The desired deletions in the alphaA-crystallin mutants were confirmed by matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) mass spectrometric analysis. Relative to WT-alphaA homomers, the mutant proteins exhibited major structural and functional changes. The maximum decrease in chaperone activity in homomers occurred on deamidation of N123 residue, but it was substantially restored after N- or C-terminal truncations in this mutant protein. Far-UV circular dichroism (CD) spectral analyses generally showed an increase in the beta-contents in alphaA mutants with deletions of N-terminal domain or C-terminal extension and also with deamidation plus above N- or C-terminal deletions. Intrinsic Tryptophan (Trp) and total fluorescence spectral studies suggested altered microenvironments in the alphaA mutant proteins. Similarly, the ANS (8-anilino-1-naphthalenesulfate) binding showed generally increased fluorescence with blue shift on deletion of the N-terminal domain in the deamidated mutant proteins, but opposite effects were observed on deletion of the C-terminal extension. Molecular mass, polydispersity of homomers, and the rate of s