Blog Archives

Why Some iPSC Lines Fail Organoid Differentiation—and When Epigenetic Rebooting May Help

Why Some iPSC Lines Fail Organoid Differentiation—and When Epigenetic Rebooting May Help

Two induced pluripotent stem cell (iPSC) lines can look equally healthy, express OCT4 and NANOG, pass a routine pluripotency panel, and still produce strikingly different organoids. One line generates organized, target-rich structures across repeated batches. The other forms irregular aggregates, drifts toward unintended lineages, or never reaches the developmental checkpoint required for a useful model. […]

Non-Invasive DNA Barcoding for Parallel LNP Delivery Screening: Design, Normalization, and Functional Validation

Non-Invasive DNA Barcoding for Parallel LNP Delivery Screening: Design, Normalization, and Functional Validation

Pooled barcoding has changed the scale of lipid nanoparticle (LNP) discovery. Instead of administering one formulation to one group, investigators can associate each formulation with a unique sequence, combine the formulations, and use sequencing to compare their recovery. The approach saves experimental capacity, but it also compresses several biological events into a deceptively simple output: […]

Sparse-Data Model-Guided Protein Evolution for Compact Genome Editors: Library Design, Sequencing-Based Fitness, and Active Learning

Sparse-Data Model-Guided Protein Evolution for Compact Genome Editors: Library Design, Sequencing-Based Fitness, and Active Learning

A compact RNA-guided nuclease can fit an attractive delivery design and still edit poorly in the cell type that matters to a research project. The obvious response is to modify its protein sequence. The difficult question is which variants to test when the number of possible amino-acid substitutions is enormous and the number of reliable […]

Virus-Like-Particle Delivery for Pooled CRISPR Screens in Primary Myeloid Cells: From Hybrid Cargo Delivery to Defensible Readouts

Virus-Like-Particle Delivery for Pooled CRISPR Screens in Primary Myeloid Cells: From Hybrid Cargo Delivery to Defensible Readouts

Primary human monocytes, macrophages, and dendritic cells are often the cells investigators most want to perturb and the cells least forgiving of a standard pooled CRISPR workflow. They are finite, donor variable, difficult to expand, sensitive to delivery stress, and ready to alter their state when exposed to nucleic acid or particle preparations. A pooled […]

Mechanistic Machine Learning for Predicting Prime-Editing Outcomes: Generalization and Wet-Lab Validation Across Loci and Cell Types

Mechanistic Machine Learning for Predicting Prime-Editing Outcomes: Generalization and Wet-Lab Validation Across Loci and Cell Types

A prime-editing model can return a clean, confident score for every candidate pegRNA. That score is useful, but it is not an experimentally measured editing rate and it is not a pass/fail decision. The gap matters because prime editing is a sequence-programmed reaction that is completed by a living cell. A candidate can look favorable […]

Predicting spatial copy-number variation from H&E: where histology AI needs sequencing validation

Predicting spatial copy-number variation from H&E: where histology AI needs sequencing validation

The integration of artificial intelligence into computational biology has fundamentally disrupted traditional spatial pathology. For over a century, the hematoxylin and eosin (H&E) stained whole slide image (WSI) has served as a purely qualitative canvas for assessing morphological atypia. Today, propelled by the advent of advanced Vision Transformers (ViTs) and deep convolutional neural networks (CNNs), […]

Can NGS Replace Conventional Viral Safety Testing for Cell and Gene Therapy Products?

Can NGS Replace Conventional Viral Safety Testing for Cell and Gene Therapy Products?

Meta Intent: A practical, risk-based guide to determining which conventional viral safety assays next-generation sequencing (NGS) may replace, supplement, or leave unchanged across cell and gene therapy manufacturing workflows. Next-generation sequencing (NGS), also called high-throughput sequencing (HTS), detects viral nucleic acids across a broad sequence space without requiring a separate assay for every candidate virus. […]

Why Medical Genome Sequencing Needs Unified Reference Standards: A Practical Benchmarking Framework

Why Medical Genome Sequencing Needs Unified Reference Standards: A Practical Benchmarking Framework

Meta Intent: A practical guide to separating reference assemblies, physical reference materials, benchmark callsets, comparison methods, and reporting standards when evaluating medical genome sequencing workflows. This article is intended for Research Use Only and discusses analytical benchmarking concepts rather than a product or test performance claim. Medical genome sequencing is often described with a single […]

Introduction to Next Generation Sequencing Technology

Introduction to Next Generation Sequencing Technology

Next-generation sequencing (NGS) refers to the set of high-throughput sequencing technologies that emerged in the mid-2000s and collectively transformed the scale and scope of genomic research. Rather than sequencing individual DNA fragments one at a time as Sanger sequencing does, NGS platforms sequence millions to billions of fragments in parallel, reducing the cost of sequencing […]

DNA Sequencing: Definition, Methods, and Applications

DNA Sequencing: Definition, Methods, and Applications

DNA sequencing—determining the exact order of nucleotides in a DNA molecule—is the foundational technology of modern genomics. Since the first Sanger sequencing reactions in 1977, three generations of technology have emerged, each with distinct trade-offs in read length, throughput, accuracy, and cost. Selecting the right method for a specific biological question is no longer about […]

Copyright © CD Genomics. All rights reserved.
Share
Top