This single-cell RNA-Seq template ships with a 10-step 10x Genomics Chromium protocol, validated dissociation references, pre-wired library QC fields, and structured inputs for tissue source, dissociation method, target cell number, capture rate, library QC, sequencing depth, and per-cluster annotation. Your lab edits the configuration to match the tissue and design you actually run, instead of rebuilding the QC matrix every experiment.
This is the live ELabELN experiment view, the same screen your lab works in every day. Switch between a blank start and a fully populated example, then expand any section to see what the template pre-fills.
This single-cell RNA-Seq template ships configured for profiling immune cell heterogeneity in human peripheral blood mononuclear cells (PBMCs) from a single healthy donor using the 10x Genomics Chromium Next GEM Single Cell 3' v3.1 chemistry, with a 10-step protocol covering PBMC isolation through Seurat-based cluster annotation. The protocol assumes target capture of 10,000 cells, NovaSeq SP flow cell sequencing at 28k reads per cell, cellranger count for alignment + UMI quantification, and Seurat v5 for QC + clustering + cell-type annotation.
Structured fields capture sample, capture, library, sequencing, and analysis metadata in typed inputs (tissue, donor, dissociation method, target cells, captured cells, doublet rate, mean reads per cell, median genes per cell, mitochondrial fraction, saturation, number of clusters), so library QC and biology outcomes are queryable across runs instead of buried in free text. The Chromium chip, GEM-X reagents, library prep kit, and sequencing flow cell link to the ELabELN inventory so lot numbers and chip-history references flow into every run record without manual entry. The spreadsheet editor captures per-cluster cell counts and assigned cell types (CD4 T, CD8 T, NK, B, Monocyte, mDC, pDC, Platelet) for cross-sample comparison.
The template is intended as a tested baseline for academic, biotechnology, and pharmaceutical labs running immune profiling, tumor microenvironment dissection, developmental atlasing, perturb-seq, or cross-condition differential abundance. Configure the tissue source, swap the chemistry (3' v3.1, 5' v2, multiome, fixed RNA), change the target cell number or sequencing depth, adjust the analysis tool (Seurat, Scanpy, Scran), or move from single-sample to multiplexed (CellPlex, HTO) or multi-modal (CITE-Seq, ATAC) by editing the capture section. ELabELN's tamper-evident audit trail captures every dissociation, every chip run, and every QC decision, so the resulting record supports reproducibility documentation, multi-PI consortium collaboration, and FDA 21 CFR Part 11 review when the lab's quality system requires it.
The template populates the existing ELabELN sections your lab already works with: Main Text, Extra Fields, Steps, Compounds, Links, and more. Your team edits instead of building from scratch.
Study design, dissociation notes, and expected cell-type composition, written in the TinyMCE editor.
Twelve structured, typed fields grouped by Sample, Capture & Library, and Sequencing & QC.
Ten-step workflow checklist covering PBMC isolation through Seurat clustering.
Chromium chip, GEM-X reagents, library prep kit, NovaSeq flow cell, and dissociation enzymes pre-linked from the compound database.
Pre-wired to your lab's scRNA-Seq SOPs, 10x user guide, and the analysis pipeline reference docs.
PBMC cryovial archive, library aliquot storage, BCL + FASTQ paths, and Seurat object attachments.
Edit the configuration to match your tissue and design, run the capture from a tested baseline, and capture every QC metric and cluster annotation in a structured record. Browse other templates built for the workflows real labs actually use.
Yes. Every section is editable. Swap in different tissues (PBMC, dissociated tumor, brain, lung, intestine, organoid), change the chemistry (3' v3.1, 5' v2, multiome, fixed RNA, CellPlex multiplexed, CITE-Seq), adjust the target cell number from 1,000 to 30,000, change the sequencing depth, or move from single-sample to multiplexed or multi-modal runs. Save your edits as a private template scoped to your lab, or publish back to the ELabELN template library.
The bulk RNA-Seq template profiles average gene expression across a pooled sample, supporting differential expression between conditions. This single-cell template resolves expression per cell, allowing cell-type discovery, heterogeneity dissection, trajectory analysis, and cell-cell signaling. Both share the sequencing-readout pattern but the upstream capture (10x emulsion vs bulk RNA prep) and downstream analysis (Seurat clustering vs DESeq2) are different.
Yes. The spreadsheet editor captures per-cluster cell count and assigned cell-type label (CD4 T, CD8 T, NK, B, Monocyte, dendritic cell subsets, platelet, plus tissue-specific types). The typed Sequencing & QC fields hold the cluster count and overall QC roll-up. Annotation can come from manual curation, marker-gene scoring (Seurat's FindAllMarkers), or automated tools (SingleR, scType, Azimuth).
Yes. Every published template in the ELabELN library is available to all ELabELN subscribers, with unlimited users.
Yes. ELabELN includes unlimited users, so the PI, computational biologists, wet-lab scientists, rotating researchers, and consortium collaborators can all use the template without per-seat charges. Granular permissions let project leads control who can edit run records versus only review them.
ELabELN Standard cloud deployment is typically live in 1-2 days. Once the instance is provisioned, this template loads from the library in a single click, with the tissue, chemistry, capture target, and analysis pipeline editable to match the experiments your lab actually runs.