Choosing the Right library prep for Low-Input RNA-Seq
In transcriptomics, sample quality often dictates experimental success. When working with ultra-low input samples, you rarely have the luxury of a “perfect” starting material.
Beyond the RIN Score: Why DV200 is the Only Metric That Matters for FFPE RNA Sequencing
If you work with clinical biobanks or archived human tissues, you know that Formalin-Fixed, Paraffin-Embedded (FFPE) tissue blocks are a scientific goldmine. They hold decades of patient history, treatment outcomes, and clinical endpoints.
Don’t Waste Your Rare Cells: A Scientist’s Guide to Successful Sample Preparation for Ultra-Low Input RNA-Seq
When your entire experiment relies on a few hundred laser-captured cells, a rare circulating tumor cell population, or a handful of precious fluorescence-activated cell sorting (FACS) isolates, the stakes at the laboratory bench are exceptionally high.
Poly(A) Selection vs. Ribosomal Depletion: Which RNA-Seq Approach is Right for Your Project?
When designing a transcriptomics experiment, researchers focus deeply on biological variables: choosing the right time points, establishing robust controls, and ensuring sufficient biological replicates.
Why RIN Matters: How to Optimize Your RNA Quality for Successful mRNA-Seq
Every molecular biologist knows the unique anxiety of submitting samples for next-generation sequencing. You have spent weeks, perhaps months, culturing cells, dosing animal models, or meticulously microdissecting tissues.
The Spatial Biology Decision Matrix: Visium HD vs. Xenium Prime vs. Illumina StrataMap
Navigating the spatial biology landscape can feel like standing in front of a massive soundboard, trying to balance dozens of sliders at once. Every platform promises single-cell or near single-cell resolution,
but each hits that benchmark through fundamentally different engineering.
Correlating Epigenetic Architecture with Gene Activation: Uncovering Hidden Enhancers with Single-Cell Multiomics
In genomic research, mapping structural chromatin accessibility (scATAC-Seq) or sequencing cellular transcripts (scRNA-Seq) from separate cell aliquots provides an informative, yet fractured, perspective.
Choosing Between 10x Chromium Standard vs. Flex Profiling Services
When designing a single-cell transcriptomics study, selecting the appropriate assay chemistry determines how you collect samples, manage budgets, and structure your data.
Droplet, Microwell, or Plate? A Decision Tree Guide to Single-Cell Platforms
Choosing the right single-cell technology is one of the most critical decisions in modern genomic experimental design. Selecting an mismatched platform doesn’t just inflate sequencing costs—it can actively bias your data by destroying fragile cell types, failing to capture rare cell variants, or missing critical splice isoforms.
Choosing a Proteomics Method: How to Match the Approach to your Study Goals
Proteomics has never offered more ways to measure the proteome, and that abundance of choice is exactly what makes method selection difficult. Mass spectrometry, targeted assays, and affinity-based platforms each measure proteins in fundamentally different ways, and no single approach is best for every question.