Biomeme Labs
How It Works

From Order to Cellular Insight

A seamless journey from placing your order to receiving multi-domain cellular transcriptomic insights about your therapy — all from the comfort of your home.

Your Journey

Five Steps to
Complete Insight

We've designed the entire experience around you. No lab visits, no complicated logistics — just molecular-level clarity delivered to your dashboard.

1

Order Online & Set Protocol Focus

Purchase your Inflammation Compass™ test panel ($600 baseline package) and begin your cellular journey.

  • Purchase your Inflammation Compass™ baseline package (2 test nodes)
  • Gain immediate access to your personal encrypted dashboard
  • Instant account activation and personalized baseline tracking
2

Kit Delivery

Your collection kit ships to your door with everything needed for your at-home visit.

  • Your collection kit ships within 2 business days and arrives within 3–5 business days
  • Register your kit in your dashboard and follow the steps to schedule phlebotomy
  • Choose a date and time that works best for your schedule
3

At-Home Blood Draw

A certified mobile phlebotomist comes to you — available across 42 states with mobile phlebotomy (excludes CA, CT, MA, MD, NJ, NY, PA, and RI due to state direct-access testing regulations).

  • A certified mobile phlebotomist comes to your home or office
  • The blood draw takes under 10 minutes — quick, gentle, and comfortable
  • Your sample is stabilized immediately in a PAXgene tube and shipped to our laboratory
4

Multi-Domain Molecular Analysis

Your sample undergoes high-complexity whole-transcriptome RNA sequencing at our CLIA-certified laboratory.

  • Processed at our CLIA-certified high-complexity facility in Philadelphia (ID # 39D2229561)
  • Whole-transcriptome RNA-seq profiles gene expression across 3 Health Domains: Activation, Antiviral Response, and Resolution
  • Cellular deconvolution isolates leukocyte population shifts from intrinsic per-cell transcription
5

Dashboard Results & Trends

Your cellular insights and trend trajectories are delivered directly to your secure personal dashboard.

  • Results delivered securely in about a month (~1 month turnaround)
  • View 3 Health Domain scores, cell-type population breakdowns, and pathway-level trajectories
  • Your dashboard updates seamlessly with each subsequent testing node
Testing Schedule

Four Testing Nodes.
One Complete Trajectory.

Inflammation Compass™ follows a structured 4-node schedule designed to capture every critical phase of your metabolic health or therapy journey.

1
Baseline

Baseline Assessment

When

Day 0 — before starting therapy or upon entering monitoring while on therapy

What

Whole-blood RNA-seq profiling across 3 Health Domains plus cellular deconvolution

Why

Establish your personal molecular reference baseline and circulating leukocyte census against which all subsequent shifts are evaluated

2
~1 Month

Initial Response

When

~1 month after starting or adjusting therapy

What

Follow-up transcriptomic panel evaluating early pathway shifts

Why

Confirm downstream systemic calming and early resolution engagement before weight changes fully manifest

3
~3 Months

Steady State

When

~3 months into therapy or maintenance titration

What

Whole-transcriptome re-evaluation across all 3 Health Domains

Why

Assess sustained anti-inflammatory equilibrium and cellular stability under maintenance dosing

4
12+ Months

Annual Maintenance & Off-Ramp

When

Annually, or during protocol tapering, dose reduction, or therapy discontinuation

What

Longitudinal transcriptomic surveillance and circulating leukocyte census

Why

Monitor inflammatory pathway stability and guard against latent recurrence linked to adipose epigenetic memory

The Scientific Engine

The Analytical &
Computational Architecture

Moving far beyond static single-protein blood tests (like hs-CRP), Inflammation Compass™ combines high-depth stranded RNA sequencing with within-sample rank scoring and clinical flow-cytometry benchmarked cellular deconvolution.

01

Venous RNA Stabilization & Enzymatic Depletion

PAXgene Chemical Lock

Whole blood is collected directly into PAXgene RNA stabilization tubes, which immediately lyse circulating leukocytes and preserve cellular RNA at the exact moment of draw. In the laboratory, high-abundance globin transcripts and ribosomal RNA (rRNA) are enzymatically depleted to maximize informative sequencing reads across immune pathways, accompanied by ERCC synthetic RNA spike-ins for internal run calibration.

02

High-Depth Stranded Whole-Transcriptome RNA-Seq

Illumina NovaSeq (~30M Reads)

Stranded cDNA libraries undergo high-throughput paired-end sequencing (2×150 bp) on the Illumina NovaSeq platform, generating approximately 30 million read pairs per sample. Raw reads are aligned against the human reference genome using STAR, mapped features are quantified with featureCounts, and expression is normalized to Transcripts Per Million (TPM) under strict CLIA quality gates.

03

Within-Sample Rank Scoring Engine

Batch-Invariant Metric

To guarantee test-retest reproducibility across months and years of longitudinal monitoring, gene expression is not compared across volatile raw counts. Each transcriptional module is scored as the mean percentile rank of its constituent genes within that specific sample. Because the sample serves as its own internal reference, scores are mathematically immune to run-to-run batch effects, library depth variations, and sequencing platform drift.

04

Reference-Based Cellular Deconvolution

ABIS / Flow Cytometry Benchmarked

Whole-blood RNA represents a composite signal from circulating immune cells. To resolve the classic bulk tissue confound ("Are there more cells, or are existing cells transcribing hotter?" — csSAM, Shen-Orr et al.), our pipeline applies reference-based deconvolution validated against clinical multi-color flow cytometry (ABIS framework / Monaco et al.). This recovers precise leukocyte population fractions alongside per-cell transcriptional activation.

05

Hierarchical Domain Calibration (No Composite Score)

Independent 0–100 Percentile Scales

13 validated modules roll up under versioned weighting into 10 pathways and three independent Health Domains: Activation (7 pathways: innate sensing, IL-1 signaling, neutrophil & monocyte deployment, platelet containment), Antiviral Response (Type I interferon program), and Resolution (2 pathways: stop and clean). Each domain is reported 0–100 against a healthy reference cohort in its own direction; there is deliberately no composite score to avoid obscuring decoupled biological programs.

∼2,500

Internal Blood Transcriptomes

Co-expression modules confirmed across Biomeme’s internal repository of whole-blood profiles spanning healthy adults and clinical cohorts.

4 Disease Classes

Biological Perturbation Validation

Modules validated in published intervention trials: sJIA on IL-1 blockade, clinical sepsis, Crohn’s on anti-TNF, and viral vs. bacterial challenge.

CLIA Certified

High-Complexity Facility

High-complexity laboratory operations in Philadelphia, PA (ID # 39D2229561) with strict specimen tracking, automated QC, and end-to-end encryption.

Ready to Track Your
Inflammatory Trajectory?

Get started with whole-transcriptome cellular monitoring — at home across 42 states.

Foundational Methodology & Computational Citations

The analytical pipeline, modular transcriptional architecture, and digital cytometry frameworks powering the Inflammation Compass™ are grounded in foundational, peer-reviewed computational immunology and genomics literature:

1. Chaussabel D, et al. (2008)A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus, sepsis, and other human diseases. Immunity. 29(1):150–164. doi:10.1016/j.immuni.2008.05.012. PMID: 18631455.
2. Chaussabel D, Baldwin N. (2014)Democratizing systems genomics with modular transcriptional repertoire analyses. Nature Reviews Immunology. 14(4):271–280. doi:10.1038/nri3642. PMID: 24854589.
3. Monaco G, et al. (2019)RNA-Seq signatures normalized by mRNA abundance allow absolute deconvolution of human immune cell types (ABIS). Cell Reports. 26(6):1627–1640.e7. doi:10.1016/j.celrep.2019.01.041. PMID: 30726743.
4. Newman AM, et al. (2015 & 2019)Robust enumeration of cell subsets from tissue expression profiles (CIBERSORT) / Determining cell type abundance and expression from bulk tissues with digital cytometry (CIBERSORTx). Nature Methods (12:453–457; PMID: 25822800) and Nature Biotechnology (37:773–782; PMID: 31061481).
5. Rainen L, et al. (2002)Stabilization of mRNA expression in whole blood samples. Clinical Chemistry. 48(11):1883–1890. PMID: 12406972.
6. Shen-Orr SS, et al. (2010)Cell type-specific gene expression differences in complex tissues (csSAM). Nature Methods. 7(4):287–289. doi:10.1038/nmeth.1439. PMID: 20208531.
7. Avila Cobos F, et al. (2020)Benchmarking of cell type deconvolution pipelines for transcriptomics data. Nature Communications. 11:5650. doi:10.1038/s41467-020-19015-1. PMID: 33159064.