Metabolomics /Infrastructures /

FIMM Metabolomics/Lipidomics/Fluxomics Unit (FIMM Meta)

 

Welcome to FIMM Metabolomics Unit (FIMM-Meta)

FIMM Metabolomics/Lipidomics/Fluxomics Unit, a core service facility, and member of the Biocentrer Finland and HiLIFE national infrastructure networks. Our technology platform offers services to researchers in many diverse scientific fields. Our core facility provides high-throughput mass spectrometry based targeted quantitative and global metabolomics/lipidomics and fluxomics services to basic, biomedical, preclinical and clinical researchers. We provide rapid analysis services for metabolites and lipids from different biological classes and various types of samples (biofluids, dried blood spots, cells, extracellular vesicles, cell organelle isolates, tissues, stool, biofilm, dental carries etc.) from humans, animal models (mouse, rat, dog etc.), C.elegans, drosophila, bacteria and yeast etc.

 

Services
Available Technologies
User policy
Contact
Our research is funded by:
Publications

Services

Contact us

Direct service orders through iLAB system please click https://hilife-infra.ilab.agilent.com/landing/500

For any query please contact us at fimm-metabolomics@helsinki.fi

High-throughput tar­geted and quant­it­at­ive metabolomics

Analysis of hundreds of polar metabolites in a single ((method using MRM strategy. uitable for tissues, cells, and biofluids (doi: 10.3390/metabo8030044).

Customized targeted quantitative metabolomics

Concentration analysis for ketonebodies, ketoacids, NADs, short-chain fatty acids, folate cycle intermediates or absolute quantification of TCA cycle intermediates (doi: 10.3390/metabo10030103). Suitable for tissues, cells, and biofluids.

High-throughput qual­it­at­ive metabolomics profiling and custom sets

Qualitative analysis of more than five hundred known standardized metabolites using high-resolution orbitrap Q-Exactive. Suitable also for small sample amounts (i.e. 30 000 cells or 15ul) for biofluids, tissues, cells, stem cells, organoids, spheres, and extracellular vesicles.

Metabolic flux analysis 

Isotope enrichment analysis and metabolic flux analysis of central carbon metabolism and other pathways using 13C-, 15N- and dH-tracers. Suitable also for small sample amounts (i.e. 30 000 cells or 10ul) for biofluids, tissues, cells, immune cells, stem cells, organoids, spheres, and extracellular vesicles.

High-through­put tar­geted and quant­it­at­ive lipidom­ics

Analysis of thousand lipid molecular species in a single method using the Lipidyzer platform. Suitable for biofluids (min 25ul), tissues, cells, and extracellular vesicles. More details doi: 10.1021/acs.analchem.1c02826

Data analysis 

We offer via collaboration complete metabolomics/lipidomics data analysis using advanced biostatistical and chemometric methods including integrated omics data analysis, figures, tables, and metabolic pathway analysis. Reporting, data quality checks, and documentation are included in the service.

Meta­bolo­m­ics ana­lyt­ical meth­ods un­der de­vel­op­ment

New sample types taken into method development via collaboration. Contact the head of the unit.

De­mand-based meta­bolo­m­ics services and method development

We are open to develop new metabolomics analytical methods based on user demand. Contact the head of the unit.

 

Available Technologies

ACQUITY ultra pressure liquid chromatography (UPLC)® coupled to WATERS Xevo-TQ-S triple quadrupole mass spectrometer.

UPLC coupled to AB/SCIEX 5500 QTRAP mass spectrometer with the Lipidyzer platform.

UPLC coupled to AB/SCIEX 6500+ QTRAP mass spectrometer.

UPLC coupled to ThermoFisher Qexactive Classic ORBITRAP mass spectrometer.

UPLC coupled to AGILENT 6550 iFunnel QToF mass spectrometer.

Automated sample preparation with Hamilton Robotics MICROLAB® STAR Line.

5500

Agilent 6550 Q-ToF

Thermo Q-Exective Orbitrap MSMS

Hamilton robot sample handling system

Sciex 6500 MSMS

Waters Xevo TQS MSMS

User policy

Core facility is open to both academic and commercial users

How to get started?

For more details please write us in email fimm-metabolomics@helsinki.fi. 

Direct service orders via iLAB systems, please click (https://hilife-infra.ilab.agilent.com/landing/500)

Acknowledgements: 

User agrees to acknowledge the Metabolomics Unit and Biocenter Finland in the upcoming publications and theses

 

Sample types and requirements:

Sample Matrices type Sample Sub-matrices type

Minimum quantity for SRM

 Minimum quantity for high-resolution orbitrap Minimum quantity for Lipidyzer

Biofluids

 Serum, Plasma, Urine, Cell culture supernatants, Saliva, CSF, Bile, Cystic fluid etc. 110 µL 15-110 µL 30 µL
Cells Adherent, Suspension, Bone marrow, MEF, stem cells etc 1-2 x106 50 000-2x106 1 million
Tissues Muscle, Liver, Brain, Heart, Lung, Placenta, Spleen, Uterus, Pancreas, Testes etc 10-20 mg 10 mg 20mg
Faeces   20-50 mg 20 mg  
3D cultures Organoids and spheres   96-12 well  
Extracellular vesicles     25uL 25uL
C.elegans   2000-4000 worms    
Drosophila     10 larvae  
S.cerevisae       biomass
E.coli       biomass
Dried blood Spots punched spots      
 

General Instructions.
Sample Collections:  Quenching protocols for cell samples will be provided.
Sample storage:  Please store the samples at -80°C immediately after the collection.
Sample delivery:  Please deliver the frozen samples on dry ice to us.
Sample tubes:  If you are freshly collecting the samples then we would prefer to have the samples in 1.5 ml eppendorf tubes. If samples are already collected and stored in other types of tubes, no problem we can transfer them here.
Sample list:  Please send us the sample list on email fimm-metabolomics@helsinki.fi in an excel file format with all the relevant details i.e., sample names, genotype, phenotype, type of sample, oganism, age, gender, treatment information (dietary or drug), available clinical data, time series data, additional information, tissue weights, cell number, protein quantification if available, if you would like to have your extra samples back or not etc.
Pricing

Pricing is established according to University of Helsinki pricing guidlines, and rates per sample cover running costs, salaries of personnel, instrument maintenance and service contracts.

Pricing is subsidised for population cohorts (> 300 samples). Price rates vary for different samples types due to distinct extraction procedures.

Shipping address:

Laboratory co-ordinator

Metabolomics Unit, 
Institute for Molecular Medicine Finland FIMM
Biomedicum Helsinki 2U, room E204b
Tukholmankatu 8
00290 Helsinki, Finland

 

 

Our research is funded by:

Metabolomic logo

Publications

 

  1. Synergistic Interferon-Alpha-Based Combinations for Treatment of SARS-CoV-2 and Other Viral Infections. Ianevski A, Yao R, Zusinaite E, Lello LS, Wang S, Jo E, Yang J, Ravlo E, Wang W, Lysvand H, Løseth K, Oksenych V, Tenson T, Windisch MP, Poranen MM, Nieminen AI, Nordbø SA, Fenstad MH, Grødeland G, Aukrust P, Trøseid M, Kantele A, Lastauskienė E, Vitkauskienė A, Legrand N, Merits A, Bjørås M, Kainov DE., 2021,Viruses. 2021 Dec 11;13(12):2489.
  2. Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021 Dec 14;93(49):16369-16378. Epub 2021 Dec 3. PMID: 34859676
  3. One-carbon and energy metabolism in major depression compared to chronic depression in adolescent outpatients: A metabolomic pilot study. Kurkinen K, Kärkkäinen O, Lehto SM, Luoma I, Kraav S-L, Nieminen AI, Kivimäki P, Therman S, Tolmunen T, 2021, , Journal of Affective Disorders Reports, Dec 6: 100261
  4. Zhuang H, Karvinen S, Törmäkangas T, Zhang X, Ojanen X, Velagapudi V, Alen M, Britton SL, Koch LG, Kainulainen H, Cheng S, Wiklund P. Interactive effects of aging and aerobic capacity on energy metabolism-related metabolites of serum, skeletal muscle, and white adipose tissue. Geroscience. 2021 Dec;43(6):2679-2691. PMID: 34089174
  5. Palviainen M, Laukkanen K, Tavukcuoglu Z, Velagapudi V, Kärkkäinen O, Hanhineva K, Auriola S, Ranki A, Siljander P. Cancer Alters the Metabolic Fingerprint of Extracellular Vesicles. Cancers (Basel). 2020 Nov 6;12(11):3292.  PMID: 33172086
  6. Moore R, Anturaniemi J, Velagapudi V, Nandania J, Barrouin-Melo SM, Hielm-Björkman A. Targeted Metabolomics With Ultraperformance Liquid Chromatography-Mass Spectrometry (UPLC-MS) Highlights Metabolic Differences in Healthy and Atopic Staffordshire Bull Terriers Fed Two Different Diets, A Pilot Study. Front Vet Sci. 2020 Oct 27;7:554296. PMID: 33195525
  7. Gutiérrez S, Fischer J, Ganesan R, Hos NJ, Cildir G, Wolke M, Pessia A, Frommolt P, Desiderio V, Velagapudi V, Robinson N. Salmonella Typhimurium impairs glycolysis-mediated acidification of phagosomes to evade macrophage defense. PLoS Pathog. 2021 Sep 23;17(9):e1009943. PMID: 34555129
  8. Heikelä H, Ruohonen ST, Adam M, Viitanen R, Liljenbäck H, Eskola O, Gabriel M, Mairinoja L, Pessia A, Velagapudi V, Roivainen A, Zhang FP, Strauss L, Poutanen M. Hydroxysteroid (17β) dehydrogenase 12 is essential for metabolic homeostasis in adult mice. Am J Physiol Endocrinol Metab. 2020 Sep 1;319(3):E494-E508. doi: 10.1152/ajpendo.00042.2020. Epub 2020 Jul 21. PMID: 32691632
  9. Kuukasjärvi A, Landoni JC, Kaukonen J, Juhakoski M, Auranen M, Torkkeli T, Velagapudi V, Suomalainen A. IMPDH2: a new gene associated with dominant juvenile-onset dystonia-tremor disorder. Eur J Hum Genet. 2021 Dec;29(12):1833-1837. doi: 10.1038/s41431-021-00939-1. Epub 2021 Jul 26. PMID: 34305140
  10. Pirinen E, Auranen M, Khan NA, Brilhante V, Urho N, Pessia A, Hakkarainen A, Ulla Heinonen JK, Schmidt MS, Haimilahti K, Piirilä P, Lundbom N, Taskinen MR, Brenner C, Velagapudi V, Pietiläinen KH, Suomalainen A. Niacin Cures Systemic NAD+ Deficiency and Improves Muscle Performance in Adult-Onset Mitochondrial Myopathy. Cell Metab. 2020 Jul 7;32(1):144. doi: 10.1016/j.cmet.2020.05.020. Erratum for: Cell Metab. 2020 Jun 2;31(6):1078-1090.e5. PMID: 32640244.
  11. Kortteenniemi A, Ortega-Alonso A, Javadi AH, Tolmunen T, Ali-Sisto T, Kotilainen T, Wikgren J, Karhunen L, Velagapudi V, Lehto SM. Anodal tDCS Over the Left Prefrontal Cortex Does Not Cause Clinically Significant Changes in Circulating Metabolites. Front Psychiatry. 2020 May 7;11:403. doi: 10.3389/fpsyt.2020.00403. PMID: 32458831
  12. Simultaneous Measurement of Tricarboxylic Acid Cycle Intermediates in Different Biological Matrices Using Liquid Chromatography–Tandem Mass Spectrometry; Quantitation and Comparison of TCA Cycle Intermediates in Human Serum, Plasma, Kasumi-1 Cell and Murine Liver Tissue. Rathod, R.; Gajera, B.; Nazir, K.; Wallenius, J.; Velagapudi, V.  Metabolites 2020, 10, 103. https://doi.org/10.3390/metabo10030103.
  13. Disruption of the mouse Shmt2 gene confers embryonic anaemia via foetal liver-specific metabolomic disorders. Sci Rep 9, 16054 (2019). Haruna T, Takayuki M, Vidya V, Kaori I, Moe U, Kazuto N, Anu S & Jun-Ichi H. https://doi.org/10.1038/s41598-019-52372-6.
  14. Repeated Transcranial Magnetic Stimulation-Induced Motor Evoked Potentials Correlate With the Subject-Specific Serum Metabolic Profile of Creatine. J Clin Neurophysiol. 2019.Kallioniemi E, Kärkkäinen O, Määttä S, Könönen M, Kivimäki P, Kaarre O, Velagapudi V, Kekkonen V, Lehto SM, Laukkanen E, Tolmunen T. PMID:30720554
  15. Epigenome-wide association study of serum cotinine in current smokers reveals novel genetically driven loci. Clin Epigenetics. 2019 Jan 5;11(1):1.Gupta R, van Dongen J, Fu Y, Abdellaoui A, Tyndale RF, Velagapudi V, Boomsma DI, Korhonen T, Kaprio J, Loukola A, Ollikainen M. PMID:30611298 
  16. Changes in the serum metabolite profile correlate with decreased brain grey matter volume in heavy-drinking young adults. Alcohol. 2019; 75:89-97. Heikkinen, N., Kärkkäinen, O., Laukkanen, E., Kekkonen, V., Kaarre, O., Kivimäki, P., Könönen, M., Velagapudi, V., Nandania, J., Lehto, S., Niskanen, E., Vanninen, R., Tolmunen, T. PMID:30513444
  17. Metabolomes of mitochondrial diseases and inclusion body myositis: treatment targets and biomarkers. EMBO Molecular Medicine. 2018  Dec;10(12).Buzkova, J., Nikkanen, J., Ahola, S., Hakonen, A., Sevastianova, K., Hovinen, T., Yki-Järvinen, H., Pietiläinen, K., Lönnqvist, T., Velagapudi, V., Carroll, C., Suomalainen, A.  PMID:30373890
  18. A Systems Approach to Study Immuno- and Neuro-Modulatory Properties of Antiviral Agents. Viruses. 2018 Aug 12;10(8).Zusinaite E, Ianevski A, Niukkanen D, Poranen MM, Bjørås M, Afset JE, Tenson T, Velagapudi V, Merits A, Kainov DE. PMID:30103549
  19. Simultaneous measurement of folate cycle metabolites using liquid chromatography-tandem mass spectrometry from different biological matrices. Journal of Chromatography B. 2018; 15:1092: 168-178.Nandania, J., Kokkonen, M., Euro, L, Velagapudi, V.  PMID:29906678
  20. Adipose tissue mitochondrial gene expression profile associates with long-term weight loss success. International Journal of Obesity. 2018; 42;817–825. Jokinen, R., Rinnankoski-Tuikka, R., Kaye, S., Saarinen, L., Heinonen, S., Myöhänen, M., Rappou, E., Jukarainen, S., Kaprio, J., Rissanen, A., Pessia, A., Velagapudi, V., Virtanen, K., Pirinen, E and Pietiläinen, K. PMID:29203860
  21. Validation and automation of high-throughput multi-targeted method for semi-quantification of endogenous metabolites from different biological matrices using tandem mass spectrometry. Metabolites. 2018; 5:8:3. Nandania, J., Peddinti, G., Pessia, A., Kokkonen, M., Velagapudi, V. PMID:30081599
  22. Pre-analytical Processing and Biobanking Procedures of Biological Samples for Metabolomics Research: A White Paper, Community Perspective (for “Precision Medicine and Pharmacometabolomics Task Group” – The Metabolomics Society Initiative). Clinical Chemistry. 2018; 64:8:1158-1182. Kirwan, J., Brennan, L., Broadhurst, D., Fiehn, O., Cascante, M., Dunn, W., Schmidt, M., Velagapudi, V.  PMID:29921725
  23. Plasma metabolites reveal distinct profiles associating with different metabolic risk factors in monozygotic twin pairs. International Journal of Obesity. 2018;Muniandy, M., Velagapudi, V., Hakkarainen, A., Lundbom, J., Lundbom, N., Rissanen, A., Kaprio, J., Pietiläinen, K., Ollikainen, M. PMID:29907843
  24. Understanding the metabolic burden of recombinant antibody production in Saccharomyces cerevisiae using a quantitative metabolomics approach. Yeast. 2018; 35(4):331-341. De Ruijter, J., Koskela, E., Nandania, J., Frey, A., Velagapudi, V. PMID: 29159981
  25. Global arginine bioavailability ratio is decreased in patients with major depressive disorder. Journal of Affective Disorders. 2018; 15;229:145. Ali-Sisto, T., Tolmunen, T., Toffol, E., Viinamäki, H., Mäntyselkä, P., Valkonen-Korhonen, M., Honkalampi, K., Ruusunen, A., Velagapudi, V., Lehto, S.M. PMID:29310063
  26. Host-Microbe Co-metabolism Dictates Cancer Drug Efficacy in C.elegans. Cell. Scott TA, Quintaneiro LM, Norvaisas P, Lui PP, Wilson MP, Leung KY, Herrera-Dominguez L, Sudiwala S, Pessia A, Clayton PT, Bryson K, Velagapudi V, Mills PB, Typas A, Greene NDE, Cabreiro F. (2017). PMID:2843124
  27. Antiviral Properties of Chemical Inhibitors of Cellular Anti-Apoptotic Bcl-2 Proteins.  Viruses. 2017; 9, 271. Bulanova, D., Ianevski, A., Bugai, A., Akimov, Y., Kuivanen, S., Paavilainen, H., Kakkola, L., Nandania, J., Turunen, L., Ohman, T., Ala-Hongisto, H., Pesonen, H.M., Kuisma, M.S., Honkimaa, A., Walton, E.L., Oksenych, V., Lorey, M.B., Guschin, D., Shim, J., Kim, J., Than, T.T., Chang, S.Y., Hukkanen, V., Kulesskiy, E., Marjomaki, V.S., Julkunen, I., Nyman, T.A., Matikainen, S., Saarela, J.S., Sane, F., Hober, D., Gabriel, G., De Brabander, J.K., Martikainen, M., Windisch, M.P., Min, J.Y., Bruzzone, R., Aittokallio, T., Vähä-Koskela, M., Vapalahti, O., Pulk, A., Velagapudi, V., Kainov, D.E. PMID:28946654
  28. mTORC1 Regulates Mitochondrial Folate Cycle and the Integrated Stress Response in Mitochondrial Disease. Cell Metabolism. 2017; 26(2):419-428. Khan, N.A., Nikkanen, J., Yatsuga, S., Wang, L., Jackson, C., Pessia, A., Riikka Kivelä, Velagapudi, V., Anu Suomalainen. PMID:28768179
  29. Metabolomic profiling of extracellular vesicles and alternative normalisation methodsreveal enriched metabolites and strategies to study prostate cancer related changes. Puhka, M., Takatalo, M., Nordberg, M.E., Valkonen, S., Nandania, J., Aatonen, M., Yliperttula, M., Laitinen, S., Velgapudi, V., Mirtti, T., Kallioniemi, O., Rannikko, A., Siljander, P.R.M., af Hallstrom, T.M. Theranostics. 2017; 7(16): 3824-3841. 
  30. Ketogenic diet attenuates hepatopathy in mouse model of respiratory chain complex III deficiency caused by a Bcs1l mutation. Scientific Reports. Purhonen, J., Rajendran, J., Mörgelin, M., Uusi-Rauva, K., Katayama, S., Krjutskov, K., Einarsdottir, E., Velagapudi, V., Kere, J., Jauhiainen, M., Fellman, V., Kallijärvi, J. (2017). PMID:28424480
  31. Endogenous and xenobiotic metabolic stability of primary human hepatocytes in long-term 3D spheroid cultures revealed by a combination of targeted and untargeted metabolomics. The FASEB Journal. Vorrink, S..U., Ullah, S., Schmidt, S., Nandania, J., Velagapudi, V., Beck, O., Ingelman-Sundberg, M., Lauschke, V.M. (2017). PMID:28264975
  32. CLUH regulates mitochondrial metabolism by controlling translation and decay of target mRNAs.  Journal of Cell Biology. Schatton, D., Pla-Martin, D., Marx, M.C., Hansen, H., Mourier, A., Nemazanyy, I., Pessia, A., Zentis, P., Corona, T. Kondylis, V., Barth, E., Schauss, A.C., Velagapudi, V., Rugarli, E. (2017).PMID:28188211
  33. Broad AOX expression in a genetically tractable mouse model does not disturb normal physiology. Disease Models and Mechanisms. Szibor, M., Dhandapani, PK., Dufour, E., Holmström, KM., Zhuang, Y., Salwig, I., Wittig, I., Heidler, J., Gizatullina, Z., Gainutdinov, T., Consortium, GM., Fuchs, H., Gailus-Durner, V., de Angelis, MH., Nandania, J., Velagapudi, V., Wietelmann, A., Rustin, P., Gellerich, FN., Jacobs, HT., Braun, T. (2017). PMID:28067626
  34. Obatoclax, saliphenylhalamide and gemcitabine inhibit Zika virus infection in vitro and differentially affect cellular signaling, transcription and metabolism. Antiviral Research. Kuivanen, S., Bespalov, MM., Nandania, J., Ianevski, A., Velagapudi, V., De Brabander, JK., Kainov, DE., Vapalahti, O. (2017). PMID:28049006.
  35. Regulation of Kynurenine Biosynthesis during Influenza Virus Infection. The FEBS Journal. Gaelings, L., Söderholm, S., Bugai, A., Fu, Y., Nandania, J., Schepens, B., Lorey, M.B., Tynell, J., Ginste, L.S., Goffic, R.L., Miller, M.S., Kuisma, M., Marjomäki, V., Brabander, J.D., Matikainen, S., Nyman, T.A., Bamford, D., Saelens, X., Julkunen, I., Paavilainen, H., Hukkanen, V., Velagapudi, V., Kainov, D.E. (2017).PMID:27860276
  36. The association between musculoskeletal pain and circulating ornithine – A population-based study. Pain Medicine. Mäntyselkä, P., Ali-Sisto, T., Kautiainen, H., Savolainen, J., Niskanen, L., Viinamäki, H., Velagapudi, V., Lehto, S.M. (2016).PMID:28034972
  37. Combined immunodeficiency with hypoglycemia caused by mutations in hypoxia up-regulated 1. The Journal of Allergy and Clinical Immunology. Haapaniemi, E., Fogarty, C., Katayama, S., Vihinen, H., Keskitalo, S., Ilander, M., Krjutškov, K., Mustjoki, S., Lehto, M., Hautala, T., Jokitalo, E., Velagapudi, V., Varjosalo, M., Seppänen, M., Kere, J. (2016). PMID:27913302
  38. Effect of high-carbohydrate diet on plasma metabolomics in mice with mitochondrial respiratory chain complex III deficiency due to a Bcs1l mutation. International Journal of Molecular Sciences. Rajendran, J., Tomašić, N., Kotarsky, H., Hansson, E., Velagapudi, V., Kallijärvi, J., Fellman, V. (2016). PMID:27809283
  39. Activation of Tryptophan and Phenylalanine Catabolism in the Remission Phase of Allergic Contact Dermatitis: A Pilot Study. International Archives of Allergy and Immunology. Zinkevičienė A, Kainov D, Girkontaitė I, Lastauskienė E, Kvedarienė V, Fu Y, Anders S, Velagapudi V. (2016). PMID: 27771694
  40. Fecal and serum metabolomics in pediatric inflammatory bowel disease. Journal of Crohn’s and Colitis. Kolho, K-L., Pessia, A., Jaakkola, T., de Vos, W., Velagapudi, V. (2016).  PMID: 27609529
  41. Modified Atkins diet induces subacute selective ragged red fiber lysis in mitochondrial myopathy patients. EMBO Molecular Medicine. Ahola, S., Auranen, M., Isohanni, P., Niemisalo, S., Buzkova, J., Velagapudi, V., Lundbom, N., Hakkarainen, A., Piirilä, P., Pietiläinen, K., Suomalainen, A. (2016).  PMID: 27647878 Press release
  42. The Pentose Phosphate Pathway Regulates the Circadian Clock. (2016). Cell Metabolsim.  Rey, G., Valekunja, U.K., Feeney, K.A., Wulund, L., Milev, N.B., Stangherlin, A., Bollepalli, L., Velagapudi, V., O’Neill, J.S., Reddy, A.B.PMID: 27546460
  43. JNJ872 inhibits influenza A virus replication without altering cellular antiviral responses. Antiviral Research.  Fu Y, Gaelings L, Söderholm S, Belanov S, Nandania J, Nyman TA, Matikainen S, Anders S, Velagapudi V, Kainov DE. (2016). PMID: 27451344
  44. GATA4 regulates blood-testis barrier function and lactate metabolism in mouse Sertoli cells. Endocriniology. Schrade, A., Kyrönlahti, A., Akinrinade, O., Pihlajoki, M., Fischer, S., Martinez Rodriguez, V., Velagapudi V, Toppari, J., Wilson, DB., Heikinheimo, M. (2016). PMID: 26974005
  45. Purine metabolism is dysregulated in patients with major depressive disorder. Psychoneuroendocrinology. Ali-Sisto, T., Tolmunen, T., Toffol, E., Viinamäki, H., Mäntyselkä, P., Valkonen-Korhonen, M., Honkalampi, K., Ruusunen, A., Velagapudi V, Lehto, S.M. (2016). MID: 27153521
  46. Mitochondrial DNA Replication Defects Disturb Cellular dNTP Pools And Remodel One-Carbon Metabolism. Cell Metabolism. Nikkanen J, Forsström S, Euro L, Paetau I, Kohnz R.A, Wang L, Chilov D, Viinamäki J, Roivainen A, Marjamäki P, Liljenbäck H, Ahola S, Buzkova J, Terzioglu M, Khan N.A, Pirnes-Karhu S, Paetau A, Lönnqvist T, Sajantila A, Isohanni P, Tyynismaa H, Nomura D.K, Battersby B, Velagapudi V, Carroll C.J, Suomalainen A. (2016). PMID: 26924217
  47. GATA4 is a key regulator of steroidogenesis and glycolysis in mouse Leydig cells. Endocrinology. Schrade A, Kyrönlahti A, Akinrinade O, Pihlajoki M, Häkkinen M, Fischer S, Alastalo T.P, Velagapudi V, Toppari J, Wilson D.B, Heikinheimo M (2015). PMID: 25668067
  48. Vitamin B12–dependent taurine synthesis regulates growth and bone mass. Journal of Clinical Investigation. Roman-Garcia P, Quiros-Gonzalez I, Mottram L, Lieben L, Sharan K, Wangwiwatsin A, Tubio J, Lewis K, Wilkinson D, Santhanam B, Sarper N, Clare S, Vassiliou GS, Velagapudi V, Dougan G, Yadav V.K. (2014).PMID: 24911144
  49. Effective treatment of mitochondrial myopathy by nicotinamide riboside, a vitamin B3. EMBO Molecular Medicine. Khan N.A, Auranen M, Paetau I, Pirinen E, Euro L, Forsström S, Pasila L, Velagapudi V, Carroll C.J, Auwerx J, Suomalainen A. (2014). PMID: 24711540​​​​​​​