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CD Genomics Blog

Thank you for visiting the CD Genomics Blog! Here, you will find articles on the latest advances in sequencing technology, biotech research developments, and technical introductions. Our blog helps researchers and professionals deepen their understanding and stay updated on industry trends.

We also share company news, offer insights into daily life at CD Genomics, and provide resources to enhance your knowledge in sequencing and genomics.

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 […]

Scaling Viral Dark-Matter Discovery with Taxonomy-Aware Sequence Indexing: From MetaSBT Search to Validated Novelty

Scaling Viral Dark-Matter Discovery with Taxonomy-Aware Sequence Indexing: From MetaSBT Search to Validated Novelty

Viral metagenomics has made it routine to recover sequences that look viral but cannot be assigned confidently to a familiar species, genus, or family. That result is often called viral dark matter. The phrase is useful, but it can hide several very different situations: a high-quality genome from a genuinely under-sampled lineage, a short fragment […]

Engineering Nonmodel Gut Bacteria to Test Metabolite Causality In Vivo

Engineering Nonmodel Gut Bacteria to Test Metabolite Causality In Vivo

Microbiome studies routinely identify a bacterial taxon, a biosynthetic gene, and a host-associated metabolite that move together. That is a useful starting observation, but it is not a causal result. A strain can track with a metabolite because it produces the compound, consumes it, occupies the same niche as the producer, or simply expands under […]

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 […]

OneCell CUT&Tag: Joint Chromatin, Transcriptome and Surface-Marker Profiling in Single Cells

OneCell CUT&Tag: Joint Chromatin, Transcriptome and Surface-Marker Profiling in Single Cells

Meta Intent: A practical decision guide for determining when same-cell chromatin, transcriptome, and surface-marker profiling provides evidence that computational integration cannot, and for designing a study that remains interpretable despite panel noise, sparse chromatin coverage, and multimodal quality-control losses. Single-cell multi-omics can measure RNA, chromatin, and surface phenotype together, but more layers do not automatically […]

Linking Microbial Genotoxins to Tumor Mutational Signatures: A Host–Microbiome Multi-Omics Study Design

Linking Microbial Genotoxins to Tumor Mutational Signatures: A Host–Microbiome Multi-Omics Study Design

Meta Intent: A practical framework for combining matched tumor–normal WGS, tumor transcriptomics, fecal shotgun metagenomics, and exposure metadata to evaluate microbial genotoxin hypotheses without treating current microbial detection as proof of historical causation. Microbiome studies often start with a tempting observation: a potentially harmful bacterial taxon or toxin gene is enriched in a cohort with […]

Linking Microbial Genotoxins to Tumor Mutational Signatures with Host-Microbiome Multi-Omics

Linking Microbial Genotoxins to Tumor Mutational Signatures with Host-Microbiome Multi-Omics

Beyond Taxonomic Dysbiosis: Direct Mutagenesis vs. Secondary Inflammation The conceptual framework linking the human microbiome to oncogenesis has historically centered on secondary, microenvironment-mediated mechanisms. In this classical paradigm, research focused predominantly on taxonomic dysbiosis: shifts in microbial diversity, loss of protective obligate anaerobes, and the expansion of pro-inflammatory pathobionts. Under this model, bacteria were viewed […]

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