ICP-MS Ionomics Profiling Service

What is Ionomics

Ionomics, also known as ionome analysis, stands at the forefront of scientific exploration, dedicated to unraveling the intricate dynamics of element composition, distribution, and accumulation within living organisms. This burgeoning discipline delves into the complex interplay between elemental variations and a myriad of factors, including physiological nuances, responses to biological and non-biological stimuli, developmental stages, environmental influences, and the underpinning genetic landscape. Encompassing the comprehensive study of metals, metalloids, and non-metals, ionomics opens avenues to understanding the elemental orchestration inherent in biological systems.

Ionomics profiling, a sophisticated and high-throughput method anchored in mass spectrometry, takes center stage for the identification and quantification of ionic substances within biological landscapes. This analytical marvel holds immense promise across diverse realms, extending its reach into the realms of biomedical research, clinical diagnostics, and the pharmaceutical frontier. By scrutinizing the ionome, researchers gain unprecedented insights into the elemental tapestry that governs biological processes.

Ionome profiling, empowered by mass spectrometry, finds its application in the meticulous analysis of an array of biological samples, spanning blood, urine, saliva, tissues, and cells. This comprehensive approach facilitates the identification and quantification of small molecular metabolites, drugs, and biomarkers within the intricate milieu of living organisms. The implications of such information are far-reaching, particularly in the realms of early disease diagnosis, evaluation of treatment efficacy, and the advancement of pharmaceutical endeavors.

Applications of Ionomics

Functional Ionomics: Functional ionomics investigates how organisms and cells regulate their entire ion composition. By creating functional ionome maps, it identifies genes with ion-regulating functions and determines their distribution within biological systems.

Plant Ionomics: Plant ionomics plays a pivotal role in environmental assessment and prediction. It involves screening hyperaccumulating plants for applications in environmental restoration, researching mechanisms for heavy metal detoxification, studying soil remediation in polluted areas, and exploring mechanisms of heavy metal exclusion.

Disease Ionomics: Trace elements widely participate in the synthesis and metabolism of various biomolecules such as enzymes, coenzymes, hormones, and nucleic acids. They play crucial roles in enzyme catalysis, electron transfer during redox processes, and stabilizing structures in large biological molecules. Disease ionomics focuses on understanding the involvement of trace elements in disease mechanisms, providing insights into potential therapeutic targets.

Sajad Ali et al,. Int. J. Mol. Sci. 2021

Ionomics Profiling Services

Creative Proteomics has introduced Ionomics profiling for the identification and quantification of ionic substances within biological landscapes, covering a spectrum of elements, including but not confined to Ca, Mg, Se, Pb, Cd, and As.

Yan Zhang et al,. Int. J. Mol. Sci. 2020

Advantage

• Standardized experimental and operational protocols and advanced ICP-MS instrumentation
• Short experimental period, reliable quality
• Absolute quantification by standard curve
• Limit of detection down to less than 1ppt
• Provide various data analysis

Sample Requirements

For solid samples such as tissues: Minimum 200 mg of tissue

For cells: A minimum of 10^7 cells

For liquid samples: Minimum 500 μl of liquid

It is advisable to provide a minimum of six replicates for each sample type.

Acceptable Sample Types:

Animal tissues, cells, and blood

Plant tissues, fruits, seeds

Soil, among others

Cluster Analysis of Ion Content

PCA

ROC Curve Analysis

Ionomic Profiling: Regulating Obesity, Metabolic Syndrome, and Type 2 Diabetes Network Patterns

References

1. Seili Yoshida, Yasuhiro Date,et al. Comparative metabolomic and ionomic approach for abundant fishes in estuarine environments of Japan Sci Rep. Sci Rep 2014 12.4:7005.
2. Liang Sun, Yu Yu,et al. Associations between lonomic Profile and Metabolic Abnormalities in Human Population PLoS One 2012 13.7(6):e38845.