FIMM Metabolomics/Lipidomics/Fluxomics Unit (FIMM Meta)


Welcome to FIMM Metabolomics Unit (FIMM-Meta)

FIMM Metabolomics/Lipidomics/Fluxomics Unit, a core service facility, is one of the Biocentre Finland and HiLIFE funded 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 can analyse hundreds of metabolites and 1000 lipids from many different biological classes in 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.


High-throughput tar­geted and quant­it­at­ive metabolomics

Analysis of hundreds of polar metabolites in a single method using MRM strategy.

High-throughput tar­geted and quant­it­at­ive lipidomics

Analysis of thousand lipid molecular species in a single method using the Lipidyzer platform.

Data analysis 

We offer complete metabolomics/lipidomics data analysis using advanced biostatistical and chemometric methods including integrated omics data analysis and metabolic pathway analysis, reporting, data quality checks, documentation, figures, table etc.

User demand based meatabolomics services

Customised metabolomics analytical methods 

We have developed targeted methods for folate cycle intermediates and TCA cycle intermediates on users demand and now NAD metabolism related intermediates are under development. We are open to develop new metabolomics analytical methods based on the user demand.

Metabolomics analytical methods under development

High-throughput untar­geted and qual­it­at­ive metabolomics

Qualitative analysis of more than five hundred known metabolites (identified and confirmed using in-house library, and public  databases), and thousands of metabolite features in a single method. 

Metabolic flux analysis 

Isotope enrichment analysis and metabolic flux analysis of central carbon metabolism and other pathways using tracer studies.


Anni Nieminen-(Viheriäranta)

Senior Scientist, Head of the Unit

+358 (0) 505352157

Available Technologies

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

Waters Xevo TQS MSMS


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

Sciex 5500 MSMS


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

Sciex 6500 MSMS


UPLC coupled to AGILENT 6550 iFunnel QToF mass spectrometer.

Agilent 6550 Q-ToF


UPLC coupled to ThermoFisher Qexactive Classic ORBITRAP mass spectrometer.

Thermo Q-Exective Orbitrap MSMS


Automated sample preparation with Hamilton Robotics MICROLAB® STAR Line.

Hamilton robot sample handling system


How to get started?

For more details please write us in email

Sample types and requirements:

Sample Matrices type Sample Sub-matrices type Minimum quantity


Serum, Plasma, Urine, Cell culture supernatants, Saliva, CSF, Bile, Cystic fluid, Bioflims etc. 110 µL
Cells Adherent, Suspension, Bone marrow, MEF etc 1-2 million
Tissues Muscle, Liver, Brain, Heart, Lung, Placenta, Spleen, Uterus, Pancreas, Testes etc 10-20 mg
Faeces   20-50 mg
Dried blood Spots punched spots  
C.elegans   2000-4000 worms
S.cerevisae   biomass
E.coli   biomass
Dental carries    

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 process here.

Sample list: 

Please send us the sample list on email 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.

Shipping address:

Laboratory co-ordinator

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


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

Pricing is subsidised for University of Helsinki researchers, other national and international academic groups and also for population cohorts (> 500 samples).

Different pricing is available for different sample types due to the nature of different extraction procedures.

For exact price and quatations please feel free to write us by email

Research Projects

Users have utilised our FIMM Metabolomics Unit's services and the results were published in the following reputed peer-reviewed international journals, where we are involved as co-authors.


  1. 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.
  2. Kallioniemi E, Kärkkäinen O, Määttä S, Könönen M, Kivimäki P, Kaarre O, Velagapudi V, Kekkonen V, Lehto SM, Laukkanen E, Tolmunen T. Repeated Transcranial Magnetic Stimulation-Induced Motor Evoked Potentials Correlate With the Subject-Specific Serum Metabolic Profile of Creatine. J Clin Neurophysiol. 2019 [Epub ahead of print]. PMID:30720554
  3. Gupta R, van Dongen J, Fu Y, Abdellaoui A, Tyndale RF, Velagapudi V, Boomsma DI, Korhonen T, Kaprio J, Loukola A, Ollikainen M.  Epigenome-wide association study of serum cotinine in current smokers reveals novel genetically driven loci. Clin Epigenetics. 2019 Jan 5;11(1):1. PMID:30611298 
  4. 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. Changes in the serum metabolite profile correlate with decreased brain grey matter volume in heavy-drinking young adults. Alcohol. 2019; 75:89-97. PMID:30513444
  5. 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. Metabolomes of mitochondrial diseases and inclusion body myositis: treatment targets and biomarkers. EMBO Molecular Medicine. 2018  Dec;10(12). PMID:30373890
  6. Zusinaite E, Ianevski A, Niukkanen D, Poranen MM, Bjørås M, Afset JE, Tenson T, Velagapudi V, Merits A, Kainov DE. A Systems Approach to Study Immuno- and Neuro-Modulatory Properties of Antiviral Agents. Viruses. 2018 Aug 12;10(8). PMID:30103549
  7. Nandania, J., Kokkonen, M., Euro, L§., Velagapudi, V§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. PMID:29906678
  8. 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.  Adipose tissue mitochondrial gene expression profile associates with long-term weight loss success. International Journal of Obesity. 2018; 42;817–825. PMID:29203860
  9. Nandania, J., Peddinti, G., Pessia, A., Kokkonen, M., Velagapudi, V§. 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. PMID:30081599
  10. Kirwan, J§., Brennan, L., Broadhurst, D., Fiehn, O., Cascante, M., Dunn, W., Schmidt, M., Velagapudi, V§. 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. PMID:29921725
  11. Muniandy, M., Velagapudi, V., Hakkarainen, A., Lundbom, J., Lundbom, N., Rissanen, A., Kaprio, J., Pietiläinen, K., Ollikainen, M. Plasma metabolites reveal distinct profiles associating with different metabolic risk factors in monozygotic twin pairs. International Journal of Obesity. 2018; PMID:29907843
  12. De Ruijter, J., Koskela, E., Nandania, J., Frey, A§., Velagapudi, V§Understanding the metabolic burden of recombinant antibody production in Saccharomyces cerevisiae using a quantitative metabolomics approach. Yeast. 2018; 35(4):331-341. PMID: 29159981
  13. Ali-Sisto, T., Tolmunen, T., Toffol, E., Viinamäki, H., Mäntyselkä, P., Valkonen-Korhonen, M., Honkalampi, K., Ruusunen, A., Velagapudi, V., Lehto, S.M. Global arginine bioavailability ratio is decreased in patients with major depressive disorder. Journal of Affective Disorders. 2018; 15;229:145. PMID:29310063
  14. 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). Host-Microbe Co-metabolism Dictates Cancer Drug Efficacy in C.elegans. Cell. PMID:2843124
  15. 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. Antiviral Properties of Chemical Inhibitors of Cellular Anti-Apoptotic Bcl-2 Proteins.  Viruses. 2017; 9, 271. PMID:28946654
  16. Khan, N.A., Nikkanen, J., Yatsuga, S., Wang, L., Jackson, C., Pessia, A., Riikka Kivelä, Velagapudi, V., Anu Suomalainen. mTORC1 Regulates Mitochondrial Folate Cycle and the Integrated Stress Response in Mitochondrial Disease. Cell Metabolism. 2017; 26(2):419-428. PMID:28768179
  17. 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. Metabolomic profiling of extracellular vesicles and alternative normalisation methodsreveal enriched metabolites and strategies to study prostate cancer related changes. Theranostics. 2017; 7(16): 3824-3841. 
  18. 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). Ketogenic diet attenuates hepatopathy in mouse model of respiratory chain complex III deficiency caused by a Bcs1l mutation. Scientific ReportsPMID:28424480
  19. Vorrink, S..U., Ullah, S., Schmidt, S., Nandania, J., Velagapudi, V., Beck, O., Ingelman-Sundberg, M., Lauschke, V.M. (2017). 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. PMID:28264975
  20. 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). CLUH regulates mitochondrial metabolism by controlling translation and decay of target mRNAs.  Journal of Cell Biology. PMID:28188211
  21. 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). Broad AOX expression in a genetically tractable mouse model does not disturb normal physiology. Disease Models and Mechanisms. PMID:28067626
  22. Kuivanen, S., Bespalov, MM., Nandania, J., Ianevski, A., Velagapudi, V., De Brabander, JK., Kainov, DE., Vapalahti, O. (2017). Obatoclax, saliphenylhalamide and gemcitabine inhibit Zika virus infection in vitro and differentially affect cellular signaling, transcription and metabolism. Antiviral Research. PMID:28049006.
  23. 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). Regulation of Kynurenine Biosynthesis during Influenza Virus Infection. The FEBS Journal. PMID:27860276
  24. Mäntyselkä, P., Ali-Sisto, T., Kautiainen, H., Savolainen, J., Niskanen, L., Viinamäki, H., Velagapudi, V., Lehto, S.M. (2016). The association between musculoskeletal pain and circulating ornithine – A population-based study. Pain Medicine. PMID:28034972
  25. 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). Combined immunodeficiency with hypoglycemia caused by mutations in hypoxia up-regulated 1The Journal of Allergy and Clinical Immunology. PMID:27913302
  26. Rajendran, J., Tomašić, N., Kotarsky, H., Hansson, E., Velagapudi, V., Kallijärvi, J., Fellman, V. (2016). 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. PMID:27809283
  27. Zinkevičienė A, Kainov D, Girkontaitė I, Lastauskienė E, Kvedarienė V, Fu Y, Anders S, Velagapudi V. (2016). Activation of Tryptophan and Phenylalanine Catabolism in the Remission Phase of Allergic Contact Dermatitis: A Pilot Study. International Archives of Allergy and Immunology. PMID: 27771694
  28. Kolho, K-L§., Pessia, A., Jaakkola, T., de Vos, W., Velagapudi, V§(2016). Fecal and serum metabolomics in pediatric inflammatory bowel disease. Journal of Crohn’s and Colitis. PMID: 27609529
  29. Ahola, S., Auranen, M., Isohanni, P., Niemisalo, S., Buzkova, J., Velagapudi, V., Lundbom, N., Hakkarainen, A., Piirilä, P., Pietiläinen, K., Suomalainen, A. (2016). Modified Atkins diet induces subacute selective ragged red fiber lysis in mitochondrial myopathy patients. EMBO Molecular Medicine.  PMID: 27647878 Press release
  30. 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. The Pentose Phosphate Pathway Regulates the Circadian Clock. (2016). Cell Metabolsim.  PMID: 27546460
  31. Fu Y, Gaelings L, Söderholm S, Belanov S, Nandania J, Nyman TA, Matikainen S, Anders S, Velagapudi V, Kainov DE. (2016). JNJ872 inhibits influenza A virus replication without altering cellular antiviral responses. Antiviral Research.  PMID: 27451344
  32. Schrade, A., Kyrönlahti, A., Akinrinade, O., Pihlajoki, M., Fischer, S., Martinez Rodriguez, V., Velagapudi V, Toppari, J., Wilson, DB., Heikinheimo, M. (2016). GATA4 regulates blood-testis barrier function and lactate metabolism in mouse Sertoli cells. Endocriniology. PMID: 26974005
  33. Ali-Sisto, T., Tolmunen, T., Toffol, E., Viinamäki, H., Mäntyselkä, P., Valkonen-Korhonen, M., Honkalampi, K., Ruusunen, A., Velagapudi V, Lehto, S.M. (2016). Purine metabolism is dysregulated in patients with major depressive disorder. Psychoneuroendocrinology. PMID: 27153521
  34. 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). Mitochondrial DNA Replication Defects Disturb Cellular dNTP Pools And Remodel One-Carbon Metabolism. Cell Metabolism.  PMID: 26924217
  35. 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). GATA4 is a key regulator of steroidogenesis and glycolysis in mouse Leydig cells. Endocrinology. PMID: 25668067
  36. 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). Vitamin B12–dependent taurine synthesis regulates growth and bone mass. Journal of Clinical Investigation. PMID: 24911144
  37. 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). Effective treatment of mitochondrial myopathy by nicotinamide riboside, a vitamin B3. EMBO Molecular Medicine.  PMID: 24711540


Conference Poster Presentations

  1. Velagapudi, V. 2018. Biomedical applicationso of high-throughput metabolomics and lipidomics analyses. In: 9th Annual Nordic Molecular Medicine Meeting, Sep 12-14thOslo, Norway.
  2. Khan, N.A., Nikkanen, J., Yatsuga, S., Wang, L., Jackson, C., Pessia, A., Riikka Kivelä, Velagapudi, V., Anu Suomalainen. 2018. mTORC1 Regulates Mitochondrial Folate Cycle and the Integrated Stress Response in Mitochondrial Disease. (June, 2018), In: 14th Metabolomics Conference, Seattle, USA.
  3. Moore, R., Marianna, R., Velagapudi, V., Hielm-Bjorkman, A. 2018. Targeted Metabolomics analysis using LC-MS for determining metabolic changes in canines in response to two different diets. In: 14th Metabolomics Conference, Seattle, USA.
  4. Gupta, R., Fu, Y., Tyndale, R., Velagapudi, V., Korhonen, T., Kaprio,  J., Loukola, A., Ollikainen, M. Novel insight into the epigenomic signature of regular smoking using serum cotinine. In: 48th Behavior Genetics Annual Meeting, (June 2018), Boston, USA.
  5. Jokinen, R., Rinnankoski-Tuikka, R., Kaye, S., Saarinen, L., Heinonen, S., Myöhänen, M., Rappou, E., Jukarainen, S., Rissanen, A., Pessia, A., Velagapudi, V., Virtanen, K., Pirinen, E., Pietiläinen, K.H. Adipose tissue gene expression level in mitochondrial pathways associates with weight loss success. In: 24th European Congress on Obesity (ECO), (May 17-20, 2017), Porto, Portugal.
  6. Vorrink, S.U., Ullah, S., Schmidt, S., Nandania, J., Velagapudi, V., Beck, O., Ingelman-Sundberg, M., Lauschke, V.M. 2017. Endogenous and xenobiotic metabolic stability of primary human hepatocytes in long-term 3D spheroid cultures revealed by label-free metabolomics. In: 56th Society of Toxicology Annual meeting and ToxExpo, March 12-16, Baltimore, USA.
  7. Nikkanen, J., Hovinen, T., Forsström, S., Landoni, J.C., Velagapudi, V., Gylling, H., Ignatenko, O., Carroll, C.J., Euro, L., Suomalainen, A. 2017. Folate deficiency disturbs hepatic bile acid metabolism by inducing cysteine depletion. In: Keystone Symposia, Bile Acid Receptors as Signal Integrators in Liver and Metabolism (C1). March 3-7, California, USA.
  8. Pessia, A., Nandania, J., Nazir, K., Wallenius, J., Velagapudi, V. Bayesan multilevel models for metabolomics and lipidomics data analysis. In: 2nd Finnish Symposium on Biological Mass Spectrometry, (November, 2017), Hameenlinna, Finland.
  9. Wallenius, J., Amaral, A., Nandania, J., Nazir, K., Pessia, A., Katajisto, P., Velagapudi, V. Development of TCA cycle metabolic flux analysis method using triple quadrupole mass spectormeter. In: 2nd Finnish Symposium on Biological Mass Spectrometry, (November, 2017), Hameenlinna, Finland.
  10. Nandania, J., Nazir, K., Pessia, A., Wallenius, J., Velagapudi, V. A rapid and simple extraction method for high-throughput targeted and quantitative lipidomics analysis from different biological matrices using tandem mass spectrometry. In: 2nd Finnish Symposium on Biological Mass Spectrometry, (November, 2017), Hameenlinna, Finland.
  11. Nazir, K., Nandania, J., Wallenius, J., Pessia, A., Velagapudi, V. Global metabolomic profiling of polar metabolites in biological samples using ultra pressure liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QToF-MS/MS). In: 2nd Finnish Symposium on Biological Mass Spectrometry, (November, 2017), Hameenlinna, Finland.
  12. Kärkkäinen O, Heikkinen N, Laukkanen E, Kekkonen V, Kaarre O, Kivimäki P, Könönen M, Velagapudi V, Niskanen E, Vanninen R, Tolmunen T. Changes in the serum metabolite profile correlate with reduced brain grey matter volume in heavy-drinking young adults. In: 16th Congress of the European Society for Biomedical Research on Alcoholism (ESBRA), (October, 2017), Crete, Greece.
  13. 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. Mitochondrial DNA replication defects disturb cellular dNTP pools and remodel one-carbon metabolism. In: 12th Annual Conference of the Metabolomics Society, June 27-30, Dublin, UK.
  14. Nandania, J., Pessia, A., Velagapudi, V. 2016. The Role of Metabolomic Biomarkers in Translational Medicine. In: EMBL Partnership Conference, Perspectives in Translational Medicine, June 6-8, Heidelberg, Germany.
  15. Puhka, M; Nordberg, M-E; Velagapudi, V; Aatonen, M, Siljander, P, Pitkänen, K; Rannikko, A; Kallioniemi, O; af Hällström, T. 2016. Metabolomics of urinary EVs: main pathways, normalization and potential for biomarker studies. In: International Society for Extracellular vesicles, ISEV-2016. June 9-15, Rotterdam, The Netherlands.
  16. Jackson, CB., Nikkanen, J., Forsström, S., Khan, N., Velagapudi, V., Carroll, C., Suomalainen, A.  2016. Integrated stress pathways associated with mitochondrial disease. In: Mitochondrial Medicine: Developng New Treatments for Mitochondrial Disease. May 4-5, Cambridge, UK.
  17. Nandania, J., Pessia, A., Velagapudi, V. 2016. Targeted and quantitative metabolomics in translational research. In: EMBL-EBI Introduction to Integrative Omics workshop, Mar 7-10, Cambridge, UK.
  18. Johanna, R., Marianna, R., Velagapudi, V., Hielm-Bjorkman, A. 2015. Metabolomics from a diet intervention in atopic dogs, a model for human research? In: FENS-2015. 12th European Nutrition Conference. Oct 20-23, Berlin, Germany.
  19. Nandania, J., Kokkonen, M., Velagapudi, V. 2015. Mass Spectrometry based high-throughput, targeted and quantitative metabolomics strategies in translational research. In: 6th Annual Nordic Molecular Medicine Meeting, Sep 7-10, Aarhus, Denmark.
  20. Velagapudi V. 2015. Why do we need an academic and industrial collaboration in clinical metabolomics? In: Nordic Trial Alliance conference, Apr 22-23, Helsinki, Finland.
  21. Nandania, J., Kokkonen, M.Velagapudi, V. 2015. Quantitative determination of folate cycle metabolites in biological samples using liquid chromatography–tandem mass spectrometry. In: First Finnish Symposium on Biological Mass Spectrometry, April 15-16, Tampere, Finland.
  22. Ali-Sisto, T., Tolmunen, T., Velagapudi, V., Mäntyselkä, P., Lehto, SM. 2015. Purine metabolism in patients with major depression: a follow-up study. In: The 23rd European Congress of Psychiatry, March 28-30, Vienna, Austria.
  23. Puhka, M., Nordberg, M-E., Velagapudi, V., af Hällström, T., Rannikko, A., Kallioniemi, O. 2014. Urinary extracellular vesicles metabolomics. In: Biofluid Biopsies & Companion Diagnostics conference, Oct 27-28, San Diego, USA.