Discover the Future of Plant Ionomics

IonomicsHub is a global scientific platform providing ICP-MS datasets, plant ionomics databases, and genomic resources for Arabidopsis, Rice, Soybean, and Yeast.

248K+

Total Samples

45K+

Unique Lines

2,784+

ICP-MS Runs

10K+

Genes Catalogued

The Plant Ionome

The ionome represents the full elemental composition of a plant. It includes essential nutrients and trace elements that define plant health, development, and environmental adaptation.

Understanding ionomic variation helps researchers discover how plants respond to stress, soil conditions, and genetic modifications.

Nutrient Uptake
Metal Homeostasis
Stress Response
Crop Improvement

Why IonomicsHub?

IonomicsHub integrates ICP-MS datasets, genomics, and multi-omics data to provide a unified platform for plant science research.

Researchers can explore thousands of samples across Arabidopsis, Rice, Soybean, and Yeast to accelerate discovery in functional biology.

Core Features

Advanced tools and curated datasets for modern plant biology and ionomics research.

ICP-MS Data Integration

High-quality elemental profiling across thousands of biological samples.

Multi-Omics Analysis

Combine genomics, transcriptomics, and proteomics with ionomic data.

Gene Function Discovery

Identify gene roles linked to nutrient uptake and stress response.

Open Research Access

Free and structured access to curated plant biology datasets.

Arabidopsis thaliana Model System

The foundation of modern plant genetics and molecular biology research.

Why Arabidopsis?

Arabidopsis thaliana is a model organism widely used due to its small genome, rapid lifecycle, and ease of genetic manipulation.

It plays a central role in plant molecular biology, helping scientists understand gene regulation, nutrient transport, and stress responses.

Its extensive genomic resources make it a reference system for crop research.

Biological Databases

Large-scale ionomic datasets across major plant and model organisms.

Arabidopsis

209K+

Samples with full ICP-MS elemental profiles.

Rice

26K+

Crop genomic and ionomic datasets for yield improvement.

Soybean

6.8K+

Protein-rich crop elemental variation analysis.

Yeast

11K+

Model organism for cellular ion transport studies.

Explore Scientific Databases

Search across thousands of ionomic datasets, genes, plant lines, elemental profiles and ICP-MS experiments through a unified scientific research platform.

Arabidopsis
Rice
Soybean
Yeast
Genes
ICP-MS

Trending Research

New discoveries in nutrient transport pathways.

Most Viewed Paper

Gene networks controlling elemental accumulation.

Hot Topic

Climate resilience and crop adaptation mechanisms.

LitCloud Research Discovery

LitCloud helps scientists discover influential publications by aggregating research interests and article interactions from the scientific community.

Researchers can rapidly identify important papers, emerging trends and groundbreaking discoveries in plant ionomics, genomics, molecular biology and agricultural sciences.

Research Workflow

STEP 01

Collect Samples

Acquire plant tissues and prepare them for elemental analysis.

STEP 02

ICP-MS Analysis

Measure elemental concentrations with high precision.

STEP 03

Data Processing

Validate, normalize and organize experimental datasets.

STEP 04

Biological Discovery

Identify genes, pathways and environmental interactions.

Accelerate Your Scientific Discovery

Access one of the largest plant ionomics resources available online and explore curated datasets, genomic information and advanced research tools.

Start Exploring

Global Scientific Impact

Supporting plant biology, genomics, elemental profiling and agricultural innovation through open scientific data.

248K+

Samples Analyzed

Comprehensive ionomic datasets.

45K+

Unique Lines

Diverse genetic resources.

10K+

Genes Studied

Functional genomics insights.

2,784+

ICP-MS Runs

High-quality elemental analyses.

Featured Research Publications

Arabidopsis

Nutrient Transport Networks

Investigating molecular pathways controlling mineral accumulation and distribution.

Rice

Climate Resilience Research

Understanding adaptation mechanisms to drought and salinity stress.

Soybean

Elemental Profiling

Large-scale ICP-MS analyses for crop improvement initiatives.

Research Ecosystem

Research Excellence

Driving innovation in plant science, ionomics and functional genomics.

Open Science

Providing free access to large-scale plant ionomics datasets worldwide.

Multi-Omics Integration

Connecting ionomics with genomics, transcriptomics and proteomics.

Crop Innovation

Supporting sustainable agriculture and climate resilience research.

Scientific Collaboration

Helping researchers discover new knowledge through shared resources.

Trusted by Researchers Worldwide

"IonomicsHub provides an exceptional resource for exploring elemental variation and gene function across large plant populations."

Plant Genetics Researcher

University Laboratory
"The integration of ionomics and genomics data accelerates our discovery pipeline significantly."

Crop Science Specialist

Agricultural Research Center
"An invaluable platform for studying nutrient transport and environmental adaptation mechanisms."

Molecular Biology Scientist

Research Institute

Frequently Asked Questions

What is plant ionomics?
Plant ionomics studies the elemental composition of plants and how nutrients and trace elements are absorbed, transported and stored.
Which species are included?
Current databases include Arabidopsis, Rice, Soybean and Yeast with additional resources continuously being added.
Can researchers access datasets freely?
Yes. IonomicsHub promotes open scientific collaboration and data accessibility.
What technologies generate the datasets?
Many datasets are generated using ICP-MS elemental analysis and integrated with genomic resources.

Advance Plant Science Through Data

Explore one of the most comprehensive collections of ionomics, genomics and ICP-MS research resources. Empower discoveries in plant nutrition, stress biology, crop improvement and sustainable agriculture.

Explore IonomicsHub