WELCOME TO GENEPIONEER
GENEPIONEER Biotechnology Co., Ltd. was established in April 2015 and is headquartered in the Jiangsu Life Science and Technology Innovation Park, a national-level biotechnology hub in Nanjing, China. The company operates over 2,000 square meters of office space, including 1,500 square meters of laboratory facilities, and employs more than 100 professionals, including two PhD returnees from overseas and two academic advisors from top medical universities.
Established in 2015
Laboratory facilities
Software copyrights
Granted patents
More than 100 professionals
AT GENEPIONEER, YOU’LL FIND
Precision for Progress
We serve where science meets care
From hospitals and universities to biotech firms, we partner with those driving the frontiers of medicine.
Whether you're exploring novel biomarkers or validating drug targets, our solutions are built for real-world research needs.
Mission-Driven Innovation
Science made scalable. Insight made actionable
Our mission is to simplify biomedical complexity—through powerful experimental pipelines and data-driven bioinformatics—helping researchers move from concept to clinical impact with clarity and confidence.
Why Choose GENEPIONEER
A partner in every breakthrough
We combine end-to-end services, advanced technologies like ABPP/TPP/DARTS, and 500+ proprietary bioinformatics tools—designed for precision, speed, and collaboration.
Here, your science doesn’t just advance. It evolves.
WE PROVIDE
FEATURED SERVICES
Activity-Based Protein Profiling (ABPP) is a powerful chemical proteomics strategy that integrates synthetic chemistry, cell biology, and mass spectrometry.
Thermal Proteome Profiling (TPP) is a key method within Cellular Thermal Shift Assay (CETSA), designed to detect the binding efficiency between drugs and target proteins within cells. The principle is that when a protein binds to a drug molecule, it typically becomes more stable.
Proximity Labeling (PL) is an emerging technique for screening protein-protein interactions (PPI).
Proteolysis-Targeting Chimeras (PROTACs) represent a novel drug design strategy. The principle includes a PROTAC molecule that simultaneously binds a target protein (Protein of Interest, POI) and an E3 ubiquitin ligase, forming a ternary complex.
Self-assembled nanoparticles (SANs) are nanoscale structures that spontaneously form through non-covalent interactions, such as hydrophobic forces, hydrogen bonding, and electrostatic attraction, between molecules or polymers.
Network pharmacology is an interdisciplinary approach that integrates systems biology, bioinformatics, and pharmacology to understand drug actions from a network perspective.
Molecular docking is a computational technique used to predict the preferred orientation of a small molecule (ligand) when bound to a target macromolecule (typically a protein or nucleic acid).
The core concept of the personalized bioinformatics analysis project is to utilize free data from public databases or omics data obtained from previous projects.
Our Achievements
Breakthrough studies powered by our solutions, published in top-tier journals, continue to validate the real-world value we bring to scientific discovery and innovation.
NEWS & ARTICLES
We stay proactive and think big. Stay informed about our latest research news.
2025-06-30
Let's take a look at our Proximity-based Labeling (PL for short) technology!
For scientific researchers studying molecular biology, when they obtain an interesting gene/protein and want to conduct in - depth functional verification, the study of protein - protein interactions is an essential part. Protein - protein and protein - nucleic acid interactions are widespread in various life processes and play important regulatory roles. Developing methods for large - scale analysis of interactions between biomolecules is of great significance for exploring biological functions and disease intervention. Although traditional biochemical research methods such as pulldown, Co - IP, and yeast two - hybrid are widely used to uncover potential protein - protein interactions, they all have their own drawbacks and limitations.
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2025-08-28
"With government support, publishing is not a problem." Traditional Chinese medicine (TCM) research has always been a hot topic. The typical research pattern is component identification → network pharmacology analysis → molecular docking analysis → experimental validation. These routines may have become tiresome. Today, I would like to share a different research strategy in TCM: a combination of non-targeted TCM analysis + gut microbiota + metabolomics. This approach is novel, highly reproducible, and you too can publish such a paper using this strategy.
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2025-08-28
At the forefront of modern medical research, scientists are using techniques like single-cell RNA sequencing and bulk transcriptome analysis to probe the mysteries of cancer. It’s akin to holding a high-powered microscope to listen to cancer’s “inner monologue,” one cell at a time. Today, let’s explore a new study that unveils the hidden role of a crucial metabolic pathway in head and neck squamous cell carcinoma (HNSCC)—the serine-glycine-one-carbon (SGOC) metabolism. What’s more, the study introduces a magical 4-SGOC gene prognostic signature, like a “map of the future” for clinicians. Let’s dive into this scientific adventure!
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2025-08-28
Fully assembled spliceosome pre activation structure of brewing yeast
RNA splicing is one of the important processes in regulating gene expression in eukaryotes. In the 1970s, scientists first discovered the discontinuity of eukaryotic genes, indicating that after genetic information is transferred from DNA to RNA, it needs to undergo "cutting" and "splicing" of effective genetic information. This splicing of effective genetic information and the removal of "invalid" genetic information is called RNA splicing. RNA splicing is widely present in eukaryotes. With the evolution of species, the number of genes containing introns increases, and the frequency of RNA splicing also increases accordingly, making it possible for one gene to encode multiple proteins.
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