TY - JOUR
T1 - Relevance of pre-analytical factors in multiomics
T2 - Toward a standardized blood processing protocol
AU - Trindade, Fábio
AU - Sopić, Miron
AU - Davies, Michael J.
AU - Tsatsanis, Christos
AU - Pinet, Florence
AU - Ferreira, Helena Beatriz
AU - Munjas, Jelena
AU - Mayilyan, Karine R.
AU - Formosa, Melissa Marie
AU - Attard, Ritienne
AU - Farrugia, Rosienne
AU - Vitorino, Rui
AU - Khatib, Soliman
AU - Bezzina Wettinger, Stephanie
AU - Novella, Susana
AU - Kosek, Vít
AU - Sohrabi, Yahya
AU - Magni, Paolo
AU - Devaux, Yvan
AU - de Gonzalo-Calvo, David
AU - Mardal, Marie
N1 - Publisher Copyright:
© 2026 The Authors
PY - 2026/1/17
Y1 - 2026/1/17
N2 - To implement multiomic studies successfully, there is a need to overcome challenges in steps ranging from study design to data integration. As blood is the preferred matrix for sampling in such studies, we review how pre-analytical factors affect genomics, transcriptomics, proteomics, and metabolomics and propose a harmonized blood processing protocol. Plasma is preferred, as clotting of serum may cause contamination from lysed cells. Transcriptomics is highly sensitive to platelet contamination, making platelet-poor plasma ideal. Processing delays and room-temperature storage compromise the stability of several analytes classes. To ensure comparability, the Standard PREanalytical Code (SPREC) should document all phases of sample handling. We recommend collecting blood in K2EDTA tubes and separating plasma via two centrifugations (1600×g and 16,000×g, 10 min at 4 °C). Samples should be checked for hemolysis, icterus, and lipemia and then stored at −80 °C [SPREC: PL2.PED.A1.C.J.A.D]. Following this standardized protocol or documenting deviations from it can improve multiomic reproducibility.
AB - To implement multiomic studies successfully, there is a need to overcome challenges in steps ranging from study design to data integration. As blood is the preferred matrix for sampling in such studies, we review how pre-analytical factors affect genomics, transcriptomics, proteomics, and metabolomics and propose a harmonized blood processing protocol. Plasma is preferred, as clotting of serum may cause contamination from lysed cells. Transcriptomics is highly sensitive to platelet contamination, making platelet-poor plasma ideal. Processing delays and room-temperature storage compromise the stability of several analytes classes. To ensure comparability, the Standard PREanalytical Code (SPREC) should document all phases of sample handling. We recommend collecting blood in K2EDTA tubes and separating plasma via two centrifugations (1600×g and 16,000×g, 10 min at 4 °C). Samples should be checked for hemolysis, icterus, and lipemia and then stored at −80 °C [SPREC: PL2.PED.A1.C.J.A.D]. Following this standardized protocol or documenting deviations from it can improve multiomic reproducibility.
KW - Blood processing
KW - Multiomics
KW - Plasma
KW - Pre-analytical factor
KW - Serum
KW - Standardization
UR - https://www.scopus.com/pages/publications/105028926986
U2 - 10.1016/j.trac.2026.118676
DO - 10.1016/j.trac.2026.118676
M3 - Review article
AN - SCOPUS:105028926986
SN - 0165-9936
VL - 196
JO - TrAC - Trends in Analytical Chemistry
JF - TrAC - Trends in Analytical Chemistry
M1 - 118676
ER -