Datasets Filter Filter results by sample type: Bone Marrow Brain Cell Lines Heart iPSCs Kidney Liver Lung Organoids PBMCs Skin Update Competitive Comparisons Evercode™ WT v2 vs. Chromium™ Next GEM Single Cell 3’ Kit v3.1 in Mouse Lymph Node Nuclei WT v2 Evercode™ WT v2 vs. Chromium™ Next GEM Single Cell 3’ Kit v3.1 in Mouse Kidney Cells WT v2 A Researcher’s Head-to-Head Evaluation of Evercode™ vs. Chromium™ in Human PBMCs WT v2 Evercode™ WT v2 vs. Chromium™ Next GEM Single Cell 3’ Kit v3.1 in Mouse Brain Nuclei WT v2 Product Literature Evercode™ Whole Transcriptome Technical Brochure WT v2 Evercode™ Whole Transcriptome Product Sheet WT v2 WT v1 Evercode™ TCR Technical Brochure TCR Gene Capture Product Sheet WT Mega v2 Gene Capture CRISPR Detect Product Sheet CRISPR Detect CRISPR Detect Vector Compatibility Guide CRISPR Detect Discovering mediators of chemoresistance in in vitro tumoroid models of pancreatic cancer WT Pancreas Tumor “We were able to perform high-quality and cost-effective single-cell RNA-sequencing with the Evercode kit” – William Hwang, PI, Massachusetts General Hospital Center for Cancer Research View Dataset T Cells TCR Sequencing of 1 Million Primary Human T Cells in a Single Experiment TCR Mega Performance of Evercode TCR in Activated Human T Cells TCR Transcriptional Analysis of Parkinson’s Disease Using Patient-derived Cells WT Mini iPSCs “We fix samples when they are ready, putting us in charge of our experimental timing.” – Taylor Goldsmith, Early Drug Discovery Unit, Neuro-McGill University View Dataset Heart Performance of Evercode™ WT in Neonatal Mouse Heart Cells WT Mini v2 Multi-Omics Approach for Near Full Length Human iPSC Transcriptomes in Cardiomyocyte Models WT Mini Human iPSCs “A powerful tool for transcriptome analysis using Illumina and Oxford Nanopore sequencing of the same sample.” – Jordan Currie, Edward Lau Lab, University of Colorado– Mike Lippincott, Edward Lau Lab, University of Colorado View Dataset Liver Performance of Evercode™ WT in Adult Mouse Hepatocytes WT v2 Performance of Evercode™ WT in Mouse Liver Nuclei WT v2 WT v1 Transcriptomic Analysis of a Chemotherapy Resistant Cancer Cell State WT “Single cell resolution is vital to capturing the complexity of cancer but droplet-based methods are unreliable for morphologically large cells.” – Luke Loftus, Doctoral Candidate, Johns Hopkins School of Medicine– Chris Cherry, Owner, CM Cherry Consulting View Dataset Lung Performance of Evercode™ WT in Mouse Lung Nuclei WT v2 Uncovering Glioblastoma Heterogeneity in Solid Tumor and Tumor-derived in vitro Models WT Mini Solid Tumor “We obtained an unprecedented number of genes per cell.” – Zac Moore, Research Officer, Walter and Eliza Hall Institute of Medical Research View Dataset Bone Marrow Performance of Evercode WT in Human Bone Marrow Mononuclear Cells WT Mega v2 Uncovering Spatial Intra-Tumoral Heterogeneity of Malignant and Immune Cells in Glioblastoma WT Mini WT Brain Tumor “A powerful assay to explore complex tumor microenvironments.” – Federico Gaiti, Assistant Professor, Princess Margaret Cancer Centre View Dataset Identifying distinct cellular programs from single cell datasets using Topyfic WT Mouse Brain “Using large datasets like the ones generated by Parse, was important for identifying as many different ‘topics’ as possible.” – Narges Rezaie, Doctoral Candidate, University of California, Irvine View Dataset Evercode TCR Compared with Chromium V(D)J on Activated Human CAR T Cells TCR Mega “I compared technologies and I’m using Parse TCR for our next experiments” – Christoph T. Ellebrecht, MD, Assistant Professor of Dermatology, University of Pennsylvania View Dataset PBMCs Performance of Evercode™ WT in Human Immune Cells (PBMCs) WT v2 WT v1 Performance of Immune1000 Gene Capture in Human Immune Cells (PBMCs) WT v2 Gene Capture Single Cell RNA Sequencing of 1 Million Human Cells in a Single Experiment WT Mega v1 PBMC Profiling from a Healthy Donor WT v1 Profiling Large Adult Cardiomyocytes with High Sensitivity WT Cardiomyocytes “One assay works with all our samples, no matter the size” – Zhenhe Zhang, Post-Doctoral Researcher, University of Washington Medicine, Cardiology View Dataset Brain Performance of Evercode™ WT in Mouse Brain Nuclei WT v2 WT v1 Performance of Evercode™ WT in Adult Mouse Brain Cells WT v2 Transcript and Gene Detection in Embryonic E18 Mouse Brain WT v1 Single-nuclei transcriptomics highlights the lasting impact of embryonic temperature on Atlantic salmon WT Mini Salmon Liver “A striking breadth of cell types were identified with high gene counts” – Carl Milton, Roslin Institute, Edinburgh University View Dataset Cell Line Technical Performance of CRISPR Detect in Cell Lines CRISPR Detect Performance of Evercode™ WT in a Multi-Species Cell Line Experiment WT v2 WT v1 Species Mixing Experiment of Human (HEK293) and Mouse (3T3) Cell Lines WT v1 An Immunologist’s Experience with Human PBMCs with Evercode™ WT WT Human PBMCs “We looked at the results in many ways and remain impressed.” – Howard Davidson, Associate Professor, University of Colorado Anschutz View Dataset Kidney Performance of Evercode™ WT in Human Kidney Dissociated Tumor Cells (DTCs) WT Performance of Evercode™ WT in Mouse Kidney Nuclei WT v2 Performance of Evercode™ WT in Mouse Kidney Cells WT v2 Evercode WT v2 Compared with Chromium 3’ v3.1 in Human PBMCs WT Human PBMCs “We detected rare cell types with Evercode’s higher sensitivity” – Yi Xie, Duke-NUS Medical School– Jacques Behmoaras, Duke-NUS Medical School– Enrico Petretto, Duke-NUS Medical School View Dataset Lymph Node Performance of Evercode™ WT in Mouse Lymph Node Nuclei WT v2 Using Evercode WT to Characterize a Novel Organoid Model for Studying Bovine Respiratory Disease WT Mini Bovine Tracheal Organoids “We characterized extraordinary cell type diversity in our organoid model.” – Pin Shie Quah, Jackson Laboratory, University of Melbourne– Bang M. Tran, Vincan Laboratory, University of Melbourne– Vincent D.A. Corbin, Coin Laboratory, University of Melbourne View Dataset Skin Performance of Evercode™ WT in Mouse Skin Cells WT v2 Single Cell RNA-Seq Sheds Light on the Role of Microglia in Alzheimer’s Disease WT Mouse Brain “48 samples, across 6 conditions, in 1 experiment with important implications.” – Vivek Swarup, Associate Professor, University of California, Irvine View Dataset
