#METABOLOMICS WORKBENCH FendtLab_20251003_073824 DATATRACK_ID:6523 STUDY_ID:ST004267 ANALYSIS_ID:AN007103 PROJECT_ID:PR002694 VERSION 1 CREATED_ON October 9, 2025, 12:41 pm #PROJECT PR:PROJECT_TITLE Histone deacetylase SIRT6 regulates tryptophan catabolism and prevents PR:PROJECT_TITLE metabolite imbalance associated with neurodegeneration PR:PROJECT_SUMMARY In the brain, tryptophan byproducts are involved in the biosynthesis of PR:PROJECT_SUMMARY proteins, energy-rich molecules (e.g., NAD+), and neurotransmitters (serotonin PR:PROJECT_SUMMARY and melatonin). Impaired tryptophan catabolism, seen in aging, neurodegeneration PR:PROJECT_SUMMARY and psychiatric diseases affects mood, learning, and sleep; however, the reasons PR:PROJECT_SUMMARY for those impairments in elder and these ailments remain unknown. Our results PR:PROJECT_SUMMARY from cellular, Drosophila melanogaster, and mouse models indicate that SIRT6 PR:PROJECT_SUMMARY regulates tryptophan catabolism by balancing its usage. Mechanistically, SIRT6 PR:PROJECT_SUMMARY regulates tryptophan and sleep quality through changes in gene expression of key PR:PROJECT_SUMMARY genes (e.g., TDO2, AANAT), which results in elevated concentration of neurotoxic PR:PROJECT_SUMMARY metabolites from the kynurenic pathway at the expense of serotonin and melatonin PR:PROJECT_SUMMARY production. Such neurotoxic metabolites can affect various processes in the PR:PROJECT_SUMMARY brain. However, by redirecting tryptophan through TDO2 inhibition in our new PR:PROJECT_SUMMARY SIRT6-KO D. melanogaster model, the impairments in neuromotor behavior and PR:PROJECT_SUMMARY vacuolar formation - parameters of neurodegeneration - could be significantly PR:PROJECT_SUMMARY reversed. PR:INSTITUTE VIB-KU Leuven Center for Cancer Biology PR:LAST_NAME Fernández-García PR:FIRST_NAME Juan PR:ADDRESS Campus Gasthuisberg, O&N4, Herestraat 49, box 912, 3000 Leuven, Belgium PR:EMAIL juan.fernandezgarcia@kuleuven.be PR:PHONE +32 16 37 32 61 #STUDY ST:STUDY_TITLE Histone deacetylase SIRT6 regulates tryptophan catabolism and prevents ST:STUDY_TITLE metabolite imbalance associated with neurodegeneration - Human cell lines ST:STUDY_SUMMARY In the brain, tryptophan byproducts are involved in the biosynthesis of ST:STUDY_SUMMARY proteins, energy-rich molecules (e.g., NAD+), and neurotransmitters (serotonin ST:STUDY_SUMMARY and melatonin). Impaired tryptophan catabolism, seen in aging, neurodegeneration ST:STUDY_SUMMARY and psychiatric diseases affects mood, learning, and sleep; however, the reasons ST:STUDY_SUMMARY for those impairments in elder and these ailments remain unknown. Our results ST:STUDY_SUMMARY from cellular models indicate that SIRT6 regulates tryptophan catabolism by ST:STUDY_SUMMARY balancing its usage. Mechanistically, SIRT6 regulates tryptophan through changes ST:STUDY_SUMMARY in gene expression of key genes (e.g., TDO2, AANAT), which results in elevated ST:STUDY_SUMMARY concentration of neurotoxic metabolites from the kynurenic pathway, with a ST:STUDY_SUMMARY concomitant decrease in serotonin and melatonin production. ST:INSTITUTE VIB-KU Leuven Center for Cancer Biology ST:LAST_NAME Fernández-García ST:FIRST_NAME Juan ST:ADDRESS Campus Gasthuisberg, O&N4, Herestraat 49, box 912, 3000 Leuven, Belgium ST:EMAIL juan.fernandezgarcia@kuleuven.be ST:PHONE +32 16 37 32 61 #SUBJECT SU:SUBJECT_TYPE Cultured cells SU:SUBJECT_SPECIES Homo sapiens SU:TAXONOMY_ID 9606 #SUBJECT_SAMPLE_FACTORS: SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Raw file names and additional sample data SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 C32-1 Sample source:ARPE-19 | Genotype:SIRT6 KO RAW_FILE_NAME=ARPE19 C32-1.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 C32-2 Sample source:ARPE-19 | Genotype:SIRT6 KO RAW_FILE_NAME=ARPE19 C32-2.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 C33-1 Sample source:ARPE-19 | Genotype:SIRT6 KO RAW_FILE_NAME=ARPE19 C33-1.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 C33-2 Sample source:ARPE-19 | Genotype:SIRT6 KO RAW_FILE_NAME=ARPE19 C33-2.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 CC2-1 Sample source:ARPE-19 | Genotype:control RAW_FILE_NAME=ARPE19 CC2-1.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 CC2-2 Sample source:ARPE-19 | Genotype:control RAW_FILE_NAME=ARPE19 CC2-2.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 CC3-1 Sample source:ARPE-19 | Genotype:control RAW_FILE_NAME=ARPE19 CC3-1.d SUBJECT_SAMPLE_FACTORS ARPE-19 ARPE19 CC3-2 Sample source:ARPE-19 | Genotype:control RAW_FILE_NAME=ARPE19 CC3-2.d SUBJECT_SAMPLE_FACTORS HeLa Hela c32-1 Sample source:HeLa | Genotype:SIRT6 KO RAW_FILE_NAME=Hela c32-1.d SUBJECT_SAMPLE_FACTORS HeLa Hela c32-2 Sample source:HeLa | Genotype:SIRT6 KO RAW_FILE_NAME=Hela c32-2.d SUBJECT_SAMPLE_FACTORS HeLa Hela c33-1 Sample source:HeLa | Genotype:SIRT6 KO RAW_FILE_NAME=Hela c33-1.d SUBJECT_SAMPLE_FACTORS HeLa Hela c33-2 Sample source:HeLa | Genotype:SIRT6 KO RAW_FILE_NAME=Hela c33-2.d SUBJECT_SAMPLE_FACTORS HeLa Hela cc2-1 Sample source:HeLa | Genotype:control RAW_FILE_NAME=Hela cc2-1.d SUBJECT_SAMPLE_FACTORS HeLa Hela cc2-2 Sample source:HeLa | Genotype:control RAW_FILE_NAME=Hela cc2-2.d SUBJECT_SAMPLE_FACTORS HeLa Hela cc3-1 Sample source:HeLa | Genotype:control RAW_FILE_NAME=Hela cc3-1.d SUBJECT_SAMPLE_FACTORS HeLa Hela cc3-2 Sample source:HeLa | Genotype:control RAW_FILE_NAME=Hela cc3-2.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y c32-1 Sample source:SH-SY5Y | Genotype:SIRT6 KO RAW_FILE_NAME=SHSY5Y c32-1.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y c32-2 Sample source:SH-SY5Y | Genotype:SIRT6 KO RAW_FILE_NAME=SHSY5Y c32-2.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y c33-1 Sample source:SH-SY5Y | Genotype:SIRT6 KO RAW_FILE_NAME=SHSY5Y c33-1.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y c33-2 Sample source:SH-SY5Y | Genotype:SIRT6 KO RAW_FILE_NAME=SHSY5Y c33-2.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y cc2-1 Sample source:SH-SY5Y | Genotype:control RAW_FILE_NAME=SHSY5Y cc2-1.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y cc2-2 Sample source:SH-SY5Y | Genotype:control RAW_FILE_NAME=SHSY5Y cc2-2.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y cc3-1 Sample source:SH-SY5Y | Genotype:control RAW_FILE_NAME=SHSY5Y cc3-1.d SUBJECT_SAMPLE_FACTORS SH-SY5Y SHSY5Y cc3-2 Sample source:SH-SY5Y | Genotype:control RAW_FILE_NAME=SHSY5Y cc3-2.d SUBJECT_SAMPLE_FACTORS Mock Mock01 Sample source:Mock | Genotype:NA RAW_FILE_NAME=Mock01.d SUBJECT_SAMPLE_FACTORS Mock Mock02 Sample source:Mock | Genotype:NA RAW_FILE_NAME=Mock02.d #COLLECTION CO:COLLECTION_SUMMARY Cell lines (SH-SY5Y, HeLa, ARPE-19) were cultured in Dulbecco’s Minimal CO:COLLECTION_SUMMARY Essential Medium (DMEM with 4.5g/L glucose) or DMEM/F-12 (only ARPE-19 cell CO:COLLECTION_SUMMARY line), in an atmosphere with 5% CO2 at 37°C. Media were supplemented with 10% CO:COLLECTION_SUMMARY fetal bovine serum (FBS), 1% penicillin and streptomycin cocktail, and 1% CO:COLLECTION_SUMMARY L-glutamine. CO:SAMPLE_TYPE Cultured cells #TREATMENT TR:TREATMENT_SUMMARY SH-SY5Y, HeLa, and ARPE-19 SIRT6 KO cells were generated as described previously TR:TREATMENT_SUMMARY in Kaluski et al. 2017 (doi: 10.1016/j.celrep.2017.03.008). Briefly, cells were TR:TREATMENT_SUMMARY infected with the lentivirus GeCKO system. We used 2 sgRNA molecules, targeting TR:TREATMENT_SUMMARY Sirt6 CRISPR2 (GCTGTCGCCGTACGCGGACA) and CRISPR3 (GCTCCACGGGAACATGTTTG), and TR:TREATMENT_SUMMARY scrambled gRNA as a control. Constructions were kindly donated by the Prof. TR:TREATMENT_SUMMARY Aharoni lab (Ben-Gurion University, Israel). Cells were selected by means of 2 TR:TREATMENT_SUMMARY μg/mL puromycin for a week, followed by serial dilutions to a single cell TR:TREATMENT_SUMMARY colony. #SAMPLEPREP SP:SAMPLEPREP_SUMMARY Cell lines (SH-SY5Y, HeLa, ARPE-19) metabolite extraction was performed in a SP:SAMPLEPREP_SUMMARY mixture of ice/dry ice, by a cold two-phase methanol–water–chloroform SP:SAMPLEPREP_SUMMARY solution. The samples were resuspended in 800 μl of precooled methanol/water SP:SAMPLEPREP_SUMMARY (5:3 v/v). Afterwards, 500 μl of precooled chloroform was added to each sample. SP:SAMPLEPREP_SUMMARY Samples were vortexed for 10 min at 4 °C and then centrifuged (max. speed, 10 SP:SAMPLEPREP_SUMMARY min, 4 °C). The methanol–water phase containing polar metabolites was SP:SAMPLEPREP_SUMMARY separated and dried using a vacuum concentrator at 4 °C overnight, and then SP:SAMPLEPREP_SUMMARY stored at -80 °C until sample preparation for LC-MS analysis. Polar metabolite SP:SAMPLEPREP_SUMMARY extracts previously stored at -80 °C were resuspended in 50 µL of water prior SP:SAMPLEPREP_SUMMARY to LC-MS analysis. SP:PROCESSING_STORAGE_CONDITIONS Described in summary SP:EXTRACT_STORAGE Described in summary #CHROMATOGRAPHY CH:CHROMATOGRAPHY_SUMMARY For the detection of tryptophan derivatives by LC–MS, we used an Infinity II CH:CHROMATOGRAPHY_SUMMARY 1290 liquid chromatography system (Agilent Technologies) with a thermal CH:CHROMATOGRAPHY_SUMMARY autosampler set at 4°C. Samples were resuspended in 50 µL of water, and 20 µL CH:CHROMATOGRAPHY_SUMMARY of each sample were injected onto a C18 column (Acquity UPLC Premier HSS C18 1.8 CH:CHROMATOGRAPHY_SUMMARY μm 2.1 × 100 mm). Metabolite separation was achieved with a flow rate of 0.25 CH:CHROMATOGRAPHY_SUMMARY ml/min at 30°C, and based on the following 40-minute gradient (solvent A = H2O, CH:CHROMATOGRAPHY_SUMMARY 0.1% Formic acid, 15 mM acetic acid; solvent B = Acetonitrile + 0.1% Formic CH:CHROMATOGRAPHY_SUMMARY acid): 0 min 8% B; 2 min 8% B; 14 min 90% B; 16 min 90% B; 17 min 8% B; 22 min CH:CHROMATOGRAPHY_SUMMARY 8% B. CH:CHROMATOGRAPHY_TYPE Reversed phase CH:INSTRUMENT_NAME Agilent 1290 Infinity II CH:COLUMN_NAME Waters ACQUITY UPLC HSS T3 (100 x 2.1 mm, 1.8 μm) CH:SOLVENT_A 100% water; 0.1% formic acid; 15 mM acetic acid CH:SOLVENT_B 100% acetonitrile; 0.1% formic acid CH:FLOW_GRADIENT 0 min 8% B; 2 min 8% B; 14 min 90% B; 16 min 90% B; 17 min 8% B; 22 min 8% B CH:FLOW_RATE 0.25 mL/min CH:COLUMN_TEMPERATURE 30°C #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME Agilent 6546 QTOF MS:INSTRUMENT_TYPE QTOF MS:MS_TYPE ESI MS:ION_MODE POSITIVE MS:MS_COMMENTS Tryptophan derivatives were detected using a Q-TOF 6546 mass spectrometer MS:MS_COMMENTS (Agilent Technologies) in positive ESI mode. LC-MS data peak identification and MS:MS_COMMENTS integration were performed with the MassHunter Qualitative and Profinder MS:MS_COMMENTS softwares (Agilent Technologies, version 10.0 in both cases), respectively. MS:MS_COMMENTS Integrated data were then analyzed using a home-made MATLAB (R2023b) script. #MS_METABOLITE_DATA MS_METABOLITE_DATA:UNITS Peak Area MS_METABOLITE_DATA_START Samples ARPE19 CC2-1 ARPE19 CC2-2 ARPE19 CC3-1 ARPE19 CC3-2 ARPE19 C32-1 ARPE19 C32-2 ARPE19 C33-1 ARPE19 C33-2 Hela cc2-1 Hela cc2-2 Hela cc3-1 Hela cc3-2 Hela c32-1 Hela c32-2 Hela c33-1 Hela c33-2 SHSY5Y cc2-2 SHSY5Y cc2-1 SHSY5Y cc3-1 SHSY5Y cc3-2 SHSY5Y c32-1 SHSY5Y c32-2 SHSY5Y c33-1 SHSY5Y c33-2 Factors Sample source:ARPE-19 | Genotype:control Sample source:ARPE-19 | Genotype:control Sample source:ARPE-19 | Genotype:control Sample source:ARPE-19 | Genotype:control Sample source:ARPE-19 | Genotype:SIRT6 KO Sample source:ARPE-19 | Genotype:SIRT6 KO Sample source:ARPE-19 | Genotype:SIRT6 KO Sample source:ARPE-19 | Genotype:SIRT6 KO Sample source:HeLa | Genotype:control Sample source:HeLa | Genotype:control Sample source:HeLa | Genotype:control Sample source:HeLa | Genotype:control Sample source:HeLa | Genotype:SIRT6 KO Sample source:HeLa | Genotype:SIRT6 KO Sample source:HeLa | Genotype:SIRT6 KO Sample source:HeLa | Genotype:SIRT6 KO Sample source:SH-SY5Y | Genotype:control Sample source:SH-SY5Y | Genotype:control Sample source:SH-SY5Y | Genotype:control Sample source:SH-SY5Y | Genotype:control Sample source:SH-SY5Y | Genotype:SIRT6 KO Sample source:SH-SY5Y | Genotype:SIRT6 KO Sample source:SH-SY5Y | Genotype:SIRT6 KO Sample source:SH-SY5Y | Genotype:SIRT6 KO Kynurenic acid 33346 35679 24571 42370 34168 49147 51092 43221 53148 48085 63691 80423 41528 68447 53969 50573 95787 49570 112149 90034 61382 54061 41905 56386 Kynurenine 1498134 1679290 2532763 2968219 2023674 2198194 2368570 2657340 4646149 4831828 6095667 5428556 6358332 5555580 4925160 5513991 3940295 3491947 3463408 3804197 3992631 5119045 4185727 4619075 Anthranilic acid 94562 59497 114800 148083 106954 148094 88353 155314 189247 204715 255895 270659 374542 259963 324143 310824 226113 188549 165876 198381 299556 398861 345272 313705 Serotonin 924021 620530 913459 1171497 698774 750938 792741 720119 3053513 3337580 3947596 3602851 3316013 3232196 2900939 2840318 2697121 2396387 1813080 1901530 1926690 2397436 1727740 1799810 Tryptophan 291669178 262923851 331342495 348230752 296994095 309904258 315591000 315758101 391421628 414951017 423881350 417737718 458233578 448209576 444372165 430527778 339273873 323952123 309096667 310901895 387609928 417680142 378093279 384166625 MS_METABOLITE_DATA_END #METABOLITES METABOLITES_START metabolite_name PubChem CID Retention Time (min) Kynurenic acid 3845 6.9 Kynurenine 161166 3.6 Anthranilic acid 227 8.6 Serotonin 5202 2.9 Tryptophan 6305 6.5 METABOLITES_END #END