we do it with you

Your project. Your IP. Our expertise.

Describe your target or disease. We’ll tell you what’s driving it, and will prove it.

See example projects

Ns Hero Expert Doc

No software to learn. No raw data to wrangle. Our scientists work alongside your team from biological questions to mechanistic insight, target prioritization and experimental validation. We will trace the signal from altered genes to transcription factors, upstream pathways, master regulators and druggable control points. We rank the targets that actually matter, and hand you a clear mechanistic answer that can be validated in a lab, with a named expert behind it. Your data and any resulting IP stay yours.

How an engagement runs

Three moves, agreed up front

Step 1

You bring

“Here’s the data. Here’s the disease. We don’t know what’s driving it.”

Step 2

We scope it

One call, then a defined engagement, priced case by case, with IP and data terms agreed up front.

Step 3

You get back

A ranked, mechanistically justified answer, traceable to the evidence, with a named scientist who stands behind it, and optional wet lab validation.

Pay on success

“Pay on success: a low starting fee, the rest only when results get validated.” — confirm; the engagement model is still being finalised.

geneXplain

What we have delivered

These now measure the service, not the database.

50+

Funded R&D projects delivered (EU · BMBF · national grants)

30+

Disease mechanisms of action uncovered

3

Drugs repurposed to new indications

1

Novel anti-cancer drug lead preclinically validated

100%

Of results and IP stay with you

Success story

Antibiotic repurposed as an anti-IBD drug — a trial is planned

geneXplain applied its Upstream Analysis technology to IBD data from patients, organoids, xenografts, and immune cells to reconstruct disease-driving NF-κB regulatory networks, identify master regulators and drug targets, and prioritize compounds for repurposing. This led to the prediction of clarithromycin as a potential anti-IBD agent, later validated in vitro and in vivo.

Watch Dr. Alexander Kel explain the full success story.

Scientific challenges

What can TRANSFAC Expert help you to solve?

What are you trying to solve?

01

Disease Mechanisms & Master Regulators

Understand what drives a disease phenotype and identify regulatory intervention points.

Disease networks TFs Upstream pathways Master regulators Target prioritization

02

Treatment Response & Resistance

Explain non-response, acquired resistance and pathway rewiring.

Resistance drivers Master regulators Combination hypotheses Biomarkers

03

Drug Mechanism of Action & Toxicity

Understand desired and adverse molecular effects of a compound.

MoA Toxicity mechanisms On/off-target effects Safety biomarkers

04

Promoter & Regulatory Element Design

Design tissue-, cell- or condition-specific regulatory constructs.

Promoter grammar TF combinations Enhancers Candidate constructs

05

Cell & Gene Therapy

Support CRISPR, CAR-T/CAR-NK and regulatory cassette development.

Target selection Regulatory logic Tissue risks Intervention strategy

06

Biomarkers & Patient Stratification

Turn complex molecular signatures into mechanistically justified biomarker concepts.

Biomarker ranking Subtype mechanisms Minimal panels Validation strategy

07

AI & Biomedical Knowledge

Ground biomedical AI in curated regulatory and mechanistic biology.

Knowledge graphs Curated relations AI-ready knowledge Mechanistic reasoning

Don’t see your exact question? TRANSFAC Expert is designed for non-routine projects.

Your data

What you can bring to TRANSFAC Expert

Start with what you already have.

Transcriptomics

Bulk RNA-seq · single-cell RNA-seq · spatial transcriptomics · microarrays

Epigenomics

DNA methylation · ATAC-seq · ChIP-seq · regulatory regions

Genomics

Variants · mutations · candidate loci · gene lists

Proteomics

Protein abundance · phosphoproteomics · protein signatures

Metabolomics

Metabolites · metabolic signatures

Drug & Perturbation Data

Treatment response · CRISPR · knockdown · screening results

Clinical & Phenotypic Data

Responders/non-responders · disease subtypes · clinical characteristics

Existing Results

DEGs · pathways · targets · biomarkers · hypotheses from your internal team or AI models

Your data do not need to be analysis-ready. Sometimes the first TRANSFAC Expert task is to determine what information is already sufficient, what additional analysis is useful, and which experiment should come next.

Sample reports

What comes back, on real data

RNA-seq → View example mechanistic report

PDF · 44 pages

Single-cell → View example master-regulator analysis

PDF

Example not supplied yet

Epigenomics → View example regulatory analysis

PDF · 40 pages

Variant data → View example regulatory variant report

PDF · 29 pages
The reason teams come to us

Sometimes you don’t need yet another data analysis. You need another expert thinking about the problem.

Routine bioinformatics can identify altered genes, enriched pathways and statistical associations. But that often leaves the most important questions unanswered: Why did this happen? What mechanism is driving it? Which candidates matter most? What should we test next?

That is where TRANSFAC Expert begins. geneXplain scientists work directly with your team to turn complex molecular results into prioritized, mechanistically justified hypotheses and clear next steps.

“We have the results. What do we do next?”

A list of differentially expressed genes is not a research strategy. We help connect the observed changes to regulatory mechanisms and define the next experiment.

“We have too many candidates.”

We reduce long lists to a focused set of targets, master regulators or biomarkers supported by causal regulatory biology.

“Our analyses are fragmented.”

We connect gene regulation, signaling pathways, disease mechanisms and targets in one coherent scientific interpretation.

From data to decision — with a named expert who stays involved in the project.

What’s behind the work

Go upstream from what changed to what is driving it.

Standard omics analysis usually starts with altered genes and moves downstream to pathways, functions and enrichment results. This is useful for describing what has changed. TRANSFAC Expert goes upstream. Our Upstream Analysis traces altered gene activity back through the regulatory mechanisms that may have caused it.

Omics changes → promoters & enhancers → transcription factors → signaling pathways → master regulators → actionable targets

The upstream route, from omics changes to actionable targets, and the three databases behind each step.

The upstream route, from omics changes to actionable targets, and the three databases behind each step. Tap to enlarge.

What that is enabled by

geneXplain’s unique curated knowledge and proprietary analysis methods.

TRANSFAC

Connects genes with transcription factors, binding sites, promoters and enhancers. Algorithms such as MATCH, F-Match and Composite Module Analysis (CMA) identify enriched transcription factors, regulatory motifs and combinations of transcription factor binding sites that may explain the observed gene-expression program.

TRANSPATH

Provides curated, causal and directional signaling reactions. Our Upstream Analysis and Master Regulator Analysis trace regulatory signals from transcription factors through signaling pathways to receptors, kinases and other upstream control molecules, helping identify key regulators that may drive the phenotype.

HumanPSD

Connects these reconstructed mechanisms with disease biology, biomarkers, drug targets, drugs and clinical context.

The goal is not another gene or pathway list. It is to answer the questions that determine the next experiment: what is driving the observed molecular changes? Which master regulators control the phenotype? Which targets are most promising to test next?

That is the core of TRANSFAC Expert: turning omics observations into mechanistically justified, prioritized and experimentally testable hypotheses.

Selected worked examples and case study reports

Where integrated knowledge from TRANSFAC, TRANSPATH and HumanPSD was applied to reveal disease molecular mechanisms

Multi-omics ovarian neoplasm case study

Transcriptomics + DNA methylation integration

Triple negative breast cancer transcriptomics analysis

Case study

Upstream analysis and drug repurposing logic in the longevity study

Article

Glioblastoma upstream analysis example

Article

Parkinson disease Genome Enhancer report

PDF · transcriptomics data

Colorectal cancer Genome Enhancer report

PDF · personalized genomics (VCF) data

Diabetes Genome Enhancer report

PDF · genomics (SNP list) data
Not a routine service

Bring us the problem a standard pipeline can’t solve.

Anyone can run a standard pipeline and guarantee a reproducible result, for a few hundred dollars. We can do more. Our work is the non-routine, inventive part: the disease no one has mapped, the resistance no one can explain, the target no one else will commit to.

Fifty funded research projects, many at the frontier of science and genuinely inventive, are the track record behind that. [confirm the “50 funded projects / frontier science” framing]

AI + human accountability

A model can generate a conclusion. It can’t take responsibility for one.

In a regulated pipeline, “the model said so” is not an answer. Someone has to stand behind the science: read the evidence, defend the call, and be reachable when it matters.

“The same DNA sequence is controlled by different transcription factors in different cell types. A model that pattern-matches will miss that. A person who knows the biology won’t.”

Prof. Dr. Alexander Kel

CEO & CSO, co-author of TRANSFAC

Dr. Alexander Kel CEO And CSO

Pending publication approval

The quotation above has not yet been cleared for publication.

Every done-for-you engagement is built around a named scientist who scopes the question, runs the analysis, and is accountable for what comes back — not an automated report with no author. For teams that have to defend a conclusion downstream, that’s often the whole point of the engagement.

Your IP. Your data.

The results are yours, and we put that in writing.

Your IP stays yours

Any target, biomarker or discovery from the work belongs to you — stated explicitly in the contract, on your terms. Where it helps, we’ll go as far as structuring the work through a separate entity you control (the model large pharma has used for exactly this).

100% yours

Your data stays protected

Not ready to hand over sensitive data on day one? We can start on abstract or example data to show you how it works, then run on yours once you’re comfortable. An NDA comes first, always.

NDA first

No open questions before we start

Scope, deliverables, IP ownership and data handling are all agreed before any work begins.

Agreed up front

The IP wording on this page is unconfirmed and must be checked before publishing.

Who this is for

For teams that want the RESULT delivered, not the tools or the raw data

Pharma & biotech R&D

You have a target or a disease question and need a defensible mechanistic answer, with provenance and a human accountable for it.

Wants the answer, not the tool

Translational research leads

You want the depth of the platform without the learning curve, scoped to your specific target or disease.

Depth without the build

Teams in regulated pipelines

You need conclusions that will stand up to criticism: traceable to evidence, signed by someone who can defend them.

Auditable & accountable
How you engage

Start with strategy. Continue with us as the project succeeds.

Every TRANSFAC Expert engagement is scoped case by case. You can start with a focused analysis and extend the collaboration as the project develops.

01

Intelligence Package

We analyse your data using TRANSFAC, TRANSPATH and HumanPSD and deliver a ranked, mechanistically justified set of targets, master regulators, biomarkers or regulatory hypotheses, together with an expert report and clear recommendations for validation. If no convincing hypothesis emerges, the project can stop here with only the initial fee.

02

Expert Partnership with Success Fee

Our expert continues to work directly with your team on the scientific project: refining the hypothesis, interpreting new results, helping design the next analyses and experiments, and contributing to the preparation of a publication, patent or project deliverable. A substantial part of our compensation is linked to an agreed successful outcome — for example: a target is validated, a biomarker is confirmed, a paper is published, or a defined project milestone is achieved. This aligns our work with the scientific success of your project rather than with the number of analyses performed.

03

Critical Experimental Validation

When key experimental evidence is needed, we can organize and perform focused validation studies through our dedicated partner laboratory. These experiments are designed specifically to test the most important mechanistic predictions generated during the project — for example, validating a target, confirming a biomarker, or testing the predicted effect of perturbing a master regulator. The goal is not to become a general-purpose CRO, but to provide the critical experimental evidence needed to move the project forward.

In their words

What teams say after the work

“geneXplain’s expert analysis helped us strengthen the biological interpretation of our data and reinforce the key pathways underlying our findings. The results provided valuable additional evidence that we could directly integrate into our manuscript.”

Mathieu Cinato

Postdoctoral Researcher, Metabolic and Cardiovascular Research Institute, Inserm/Université Toulouse

“geneXplain’s databases, software tools, and scientific expertise have been very helpful for our research. Their approach helps us go beyond omics data analysis to uncover the molecular mechanisms behind the pathology we are studying.”

Dr. Sudipto Das

Lecturer and Principal Investigator, RCSI

“geneXplain’s expert analysis helped us move from our gene expression data to a much deeper understanding of the underlying regulatory mechanisms. The results, biological interpretation, and visualizations were extremely valuable for our manuscript — and we were eager to apply the same approach to our next datasets.”

Divya Gupta

Kershaw Lab, University of Pittsburgh

The source document marks the testimonials as placeholders while also attributing them to named researchers. Confirm each attribution before publishing.

Research projects and partnerships

Projects, consortia, funding programmes and supporting organizations

Research projects and consortia

miRNA DisEASY COLOSSUS SYSCOL GERONTOshield COPreDict Mediomics Optogenerapy ExITox OxidoResist Chrom Rare Finding MS GLIOTRAIN EPIMETAB Resolve GlioResolve miRCol PD-MitoQUANT MyPathSem HIT-GLIO SysMedIBD MIMOmics

Funding programmes and supporting organizations

TEMPUS EUREKA Eurostars ERA PerMed European Union German Federal Ministry of Education and Research (BMBF)

Explore the platform

Three ways in, one body of knowledge

TRANSFAC Workspace

Run the whole regulatory analysis yourself, on one no-code platform.

Open

TRANSFAC Knowledge Graph

License 38+ years of curated biology as data, to ground your own AI.

Open

Overview

See all three ways in and pick the one that fits your team.

Open

Start with a conversation

Ask us the question. We’ll scope the answer.

Every engagement is built case by case: scope, deliverables, IP, data terms and timeline, all agreed before work begins. The first step is a short discovery call to understand what you’re trying to resolve.

No fixed package · scoped to your question · pay on success · expert-delivered · your IP