#METABOLOMICS WORKBENCH Karin_20241006_114144 DATATRACK_ID:5264 STUDY_ID:ST003544 ANALYSIS_ID:AN005820 PROJECT_ID:PR002180 VERSION 1 CREATED_ON 03-03-2025 #PROJECT PR:PROJECT_TITLE Metabolomics of Ndufs4 KO human induced pluripotent stem cells (iPSCs) PR:PROJECT_TYPE Multi-platform metabolomics analysis PR:PROJECT_SUMMARY Mitochondrial diseases, often linked to complex I (CI) defects, lack curative PR:PROJECT_SUMMARY treatments. High-throughput drug screening using human-relevant platforms is PR:PROJECT_SUMMARY crucial for identifying new therapeutics. Induced pluripotent stem cell (iPSC) PR:PROJECT_SUMMARY and CRISPR technologies offer a powerful tool for this purpose. While typically PR:PROJECT_SUMMARY differentiated into disease-relevant cell types, recent studies support the use PR:PROJECT_SUMMARY of undifferentiated iPSCs for drug discovery. The aim of this project was to PR:PROJECT_SUMMARY develop and characterize NDUFS4 KO iPSCs in their pluripotent state. The PR:PROJECT_SUMMARY metabolic profile of Ndufs4 KO human induced pluripotent stem cells (iPSCs) were PR:PROJECT_SUMMARY compared to that of isogenic controls using multi-platform metabolomics, PR:PROJECT_SUMMARY consisting of targeted LC-MS/MS, targeted GC-MS/MS, and untargeted GC-TOFMS PR:PROJECT_SUMMARY analyses. Metabolic profiling revealed a distinct phenotype in NDUFS4 KO iPSCs, PR:PROJECT_SUMMARY predominantly associated with an elevated NADH/NAD+ ratio, consistent with PR:PROJECT_SUMMARY alterations observed in other models of mitochondrial dysfunction. These PR:PROJECT_SUMMARY findings underscore the potential of iPSCs for early-stage, high-throughput PR:PROJECT_SUMMARY therapeutic screening in mitochondrial diseases. PR:INSTITUTE North-West University PR:LAST_NAME Louw PR:FIRST_NAME Roan PR:ADDRESS Hofman Street, Potchefstroom, North-West, 2520, South Africa PR:EMAIL Roan.Louw@nwu.ac.za PR:PHONE +27182994074 PR:DOI http://dx.doi.org/10.21228/M8TV67 #STUDY ST:STUDY_TITLE Metabolomics of Ndufs4 KO human induced pluripotent stem cells (iPSCs) ST:STUDY_SUMMARY Mitochondrial diseases, often linked to complex I (CI) defects, lack curative ST:STUDY_SUMMARY treatments. High-throughput drug screening using human-relevant platforms is ST:STUDY_SUMMARY crucial for identifying new therapeutics. Induced pluripotent stem cell (iPSC) ST:STUDY_SUMMARY and CRISPR technologies offer a powerful tool for this purpose. While typically ST:STUDY_SUMMARY differentiated into disease-relevant cell types, recent studies support the use ST:STUDY_SUMMARY of undifferentiated iPSCs for drug discovery. Here, we developed and ST:STUDY_SUMMARY characterized NDUFS4 KO iPSCs in their pluripotent state. Metabolomic profiling ST:STUDY_SUMMARY revealed a distinct phenotype in NDUFS4 KO iPSCs, predominantly associated with ST:STUDY_SUMMARY an elevated NADH/NAD+ ratio, consistent with alterations observed in other ST:STUDY_SUMMARY models of mitochondrial dysfunction. These findings underscore the potential of ST:STUDY_SUMMARY iPSCs for early-stage, high-throughput therapeutic screening in mitochondrial ST:STUDY_SUMMARY diseases. ST:INSTITUTE North-West University ST:LAST_NAME Louw ST:FIRST_NAME Roan ST:ADDRESS Hofman Street, Potchefstroom, North-West, 2520, South Africa ST:EMAIL Roan.Louw@nwu.ac.za ST:PHONE +27182994074 ST:SUBMIT_DATE 2024-10-06 #SUBJECT SU:SUBJECT_TYPE Cultured cells SU:SUBJECT_SPECIES Homo sapiens SU:TAXONOMY_ID 9606 SU:SPECIES_GROUP Mammals #SUBJECT_SAMPLE_FACTORS: SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data SUBJECT_SAMPLE_FACTORS - KO5_1 Genotype:KO | Sample source:Stem cells RAW_FILE_NAME(LC file name)=KO5_1.d; RAW_FILE_NAME(GCTOF file name)=KO5_1.cdf; RAW_FILE_NAME(GC-QQQ file name)=K51_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=K51_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=K51_Method3.d SUBJECT_SAMPLE_FACTORS - KO5_2 Genotype:KO | Sample source:Stem cells RAW_FILE_NAME(LC file name)=KO5_2.d; RAW_FILE_NAME(GCTOF file name)=KO5_2.cdf; RAW_FILE_NAME(GC-QQQ file name)=K52_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=K52_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=K52_Method3.d SUBJECT_SAMPLE_FACTORS - KO5_3 Genotype:KO | Sample source:Stem cells RAW_FILE_NAME(LC file name)=KO5_3.d; RAW_FILE_NAME(GCTOF file name)=KO5_3.cdf; RAW_FILE_NAME(GC-QQQ file name)=K53_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=K53_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=K53_Method3.d SUBJECT_SAMPLE_FACTORS - KO5_4 Genotype:KO | Sample source:Stem cells RAW_FILE_NAME(LC file name)=KO5_4.d; RAW_FILE_NAME(GCTOF file name)=KO5_4.cdf; RAW_FILE_NAME(GC-QQQ file name)=K54_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=K54_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=K54_Method3.d SUBJECT_SAMPLE_FACTORS - KO5_5 Genotype:KO | Sample source:Stem cells RAW_FILE_NAME(LC file name)=KO5_5.d; RAW_FILE_NAME(GCTOF file name)=KO5_5.cdf; RAW_FILE_NAME(GC-QQQ file name)=K55_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=K55_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=K55_Method3.d SUBJECT_SAMPLE_FACTORS - WT7_1 Genotype:WT | Sample source:Stem cells RAW_FILE_NAME(LC file name)=WT7_1.d; RAW_FILE_NAME(GCTOF file name)=W7_1.cdf; RAW_FILE_NAME(GC-QQQ file name)=W71_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=W71_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=W71_Method3.d SUBJECT_SAMPLE_FACTORS - WT7_2 Genotype:WT | Sample source:Stem cells RAW_FILE_NAME(LC file name)=WT7_2.d; RAW_FILE_NAME(GCTOF file name)=W7_2.cdf; RAW_FILE_NAME(GC-QQQ file name)=W72_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=W72_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=W72_Method3.d SUBJECT_SAMPLE_FACTORS - WT7_3 Genotype:WT | Sample source:Stem cells RAW_FILE_NAME(LC file name)=WT7_3.d; RAW_FILE_NAME(GCTOF file name)=W7_3.cdf; RAW_FILE_NAME(GC-QQQ file name)=W73_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=W73_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=W73_Method3.d SUBJECT_SAMPLE_FACTORS - WT7_4 Genotype:WT | Sample source:Stem cells RAW_FILE_NAME(LC file name)=WT7_4.d; RAW_FILE_NAME(GCTOF file name)=W7_4.cdf; RAW_FILE_NAME(GC-QQQ file name)=W74_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=W74_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=W74_Method3.d SUBJECT_SAMPLE_FACTORS - WT7_5 Genotype:WT | Sample source:Stem cells RAW_FILE_NAME(LC file name)=WT7_5.d; RAW_FILE_NAME(GCTOF file name)=W7_5.cdf; RAW_FILE_NAME(GC-QQQ file name)=W75_Method1.d; RAW_FILE_NAME(GC-QQQ file name)=W75_Method2.d; RAW_FILE_NAME(GC-QQQ file name)=W75_Method3.d #COLLECTION CO:COLLECTION_SUMMARY Five replicate samples per genotype (i.e. distinct cultures in parallel) were CO:COLLECTION_SUMMARY prepared for each metabolic analysis. Each cell pellet, harvested from a T25 CO:COLLECTION_SUMMARY culture flasks, was washed three times with chilled PBS before being quenched in CO:COLLECTION_SUMMARY cold HPLC-grade methanol, with subsequent addition of an internal standard CO:COLLECTION_SUMMARY mixture in cold HPLC-grade water. Thereafter, samples were homogenized using a CO:COLLECTION_SUMMARY vibration mill (30 Hz, 1 min) and incubated on ice (10 min) after the addition CO:COLLECTION_SUMMARY of cold HPLC-grade chloroform. Solvents were added in a ratio of 3:1:1, CO:COLLECTION_SUMMARY methanol/water/chloroform, as required for a modified monophasic Bligh-Dyer CO:COLLECTION_SUMMARY extraction. After centrifugation at 12 000 ×g (10 min, 4°C) supernatants were CO:COLLECTION_SUMMARY aliquoted into 2 mL glass vials. CO:SAMPLE_TYPE Cultured cells #TREATMENT TR:TREATMENT_SUMMARY N/A #SAMPLEPREP SP:SAMPLEPREP_SUMMARY Samples were derivatized by butylation on the day of analysis. To butylate the SP:SAMPLEPREP_SUMMARY dried extracts, 300 μL of freshly prepared 1-butanol:acetyl chloride (4:1, SP:SAMPLEPREP_SUMMARY v/v) was added and samples were incubated at 50°C for 60 min. Thereafter, the SP:SAMPLEPREP_SUMMARY samples were evaporated to dryness under a gentle stream of nitrogen at 37 °C. SP:SAMPLEPREP_SUMMARY The samples were then reconstituted in 100 μL of water:acetonitrile (50:50, SP:SAMPLEPREP_SUMMARY v/v), containing 0.1% formic acid and vortex mixed. Finally, the total volume SP:SAMPLEPREP_SUMMARY was transferred to 250 μL tapered glass inserts placed in 2 mL vials and SP:SAMPLEPREP_SUMMARY loaded onto the autosampler for analysis.  #CHROMATOGRAPHY CH:INSTRUMENT_NAME Agilent 1200 Infinity CH:COLUMN_NAME Agilent C18 Zorbax SB-AQ (100 x 2.1mm, 1.8um) CH:COLUMN_TEMPERATURE 45°C CH:FLOW_GRADIENT 95 % of solvent A held for 0.2 min, increased to 25 % of solvent B over 1.8 min, CH:FLOW_GRADIENT held for 5 min, increased to 90 % of solvent B over 0.5 min, held for 1.6 min, CH:FLOW_GRADIENT increased to 95 % of solvent B over 2.9 min, decreased to 5 % of solvent B over CH:FLOW_GRADIENT 1 min, and re-equilibrated for 3 min to give a total run time of 16 min. CH:FLOW_RATE For the first 9 min of the run, the mobile phase flow rate was set at 0.3 CH:FLOW_RATE mL/min, after which it was increased to 0.4 mL/min in a span of 0.1 min and CH:FLOW_RATE maintained at this level for the subsequent 3.9 min of the run CH:SOLVENT_A 100% Water; 0.1 % Formic acid CH:SOLVENT_B 100% Acetonitrile; 0.1 % Formic acid CH:CHROMATOGRAPHY_TYPE Reversed phase #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME Agilent 6410 QQQ MS:INSTRUMENT_TYPE Triple quadrupole MS:MS_TYPE ESI MS:MS_COMMENTS Amino acid and acylcarnitine species were analyzed by dynamic multiple reaction MS:MS_COMMENTS monitoring of the transition from precursor to product ions at associated MS:MS_COMMENTS optimized collision energies, and fragmentor voltages using Agilent Masshunter. MS:MS_COMMENTS To achieve the highest confidence level in metabolite identities, two unique MS:MS_COMMENTS transitions were monitored per metabolite, thus, allowing spectral and retention MS:MS_COMMENTS time matching MS:ION_MODE POSITIVE #MS_METABOLITE_DATA MS_METABOLITE_DATA:UNITS Normalized peak area MS_METABOLITE_DATA_START Samples KO5_1 KO5_2 KO5_3 KO5_4 KO5_5 WT7_1 WT7_2 WT7_3 WT7_4 WT7_5 Factors Genotype:KO | Sample source:Stem cells Genotype:KO | Sample source:Stem cells Genotype:KO | Sample source:Stem cells Genotype:KO | Sample source:Stem cells Genotype:KO | Sample source:Stem cells Genotype:WT | Sample source:Stem cells Genotype:WT | Sample source:Stem cells Genotype:WT | Sample source:Stem cells Genotype:WT | Sample source:Stem cells Genotype:WT | Sample source:Stem cells 1-Methylhistidine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 2-Aminoadipic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 3-Aminoisobutanoic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 4-Hydroxyproline 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Beta-Alanine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Betaine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Citrulline 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Creatine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Cystine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Decanoylcarnitine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 gamma-Aminobutyric acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Glutamic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Glutamine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Glycine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Histidine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Isoleucine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Kynurenine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Acetylcarnitine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Alanine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Arginine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Asparagine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Aspartic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Carnitine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Cystathionine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Leucine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Threonine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Tryptophan 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Tyrosine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 L-Valine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Lysine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Methionine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N-Acetyl-L-aspartic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N-Acetyl-L-glutamic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Octanoylcarnitine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Ornithine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Palmitoylcarnitine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Phenylalanine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Pipecolic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Proline 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Pyroglutamic acid 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Serine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Stearoylcarnitine 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 MS_METABOLITE_DATA_END #METABOLITES METABOLITES_START metabolite_name pubchem_id inchi_key kegg_id other_id other_id_type ri ri_type moverz_quant 1-Methylhistidine 92105 2-Aminoadipic acid 469 3-Aminoisobutanoic acid 64956 4-Hydroxyproline 5810 Beta-Alanine 239 Betaine 247 Citrulline 9750 Creatine 586 Cystine 595 Decanoylcarnitine 11953821 gamma-Aminobutyric acid 119 Glutamic acid 33032 Glutamine 5961 Glycine 750 Histidine 6274 Isoleucine 6306 Kynurenine 161166 L-Acetylcarnitine 7045767 L-Alanine 5950 L-Arginine 6322 L-Asparagine 6267 L-Aspartic acid 5960 L-Carnitine 10917 L-Cystathionine 439258 Leucine 6106 L-Threonine 6288 L-Tryptophan 6305 L-Tyrosine 6057 L-Valine 6287 Lysine 5962 Methionine 6137 N-Acetyl-L-aspartic acid 65065 N-Acetyl-L-glutamic acid 70914 Octanoylcarnitine 11953814 Ornithine 6262 Palmitoylcarnitine 11953816 Phenylalanine 6140 Pipecolic acid 849 Proline 145742 Pyroglutamic acid 7405 Serine 5951 Stearoylcarnitine 52922056 METABOLITES_END #END