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10X Genomics chromium microfluidic chip
Chromium Microfluidic Chip, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/microfluidic+chips/pm42284396-324-18-29
Average 86 stars, based on 1 article reviews
chromium microfluidic chip - by Bioz Stars, 2026-10
86/100 stars

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Related Articles

Suspension:

Article Title: ABA-induced MYB transcriptional module regulates the differentiation trajectory of chickpea exodermis
Article Snippet: .. The protoplast suspension was loaded into microfluidic chips (10X Genomics) and subsequently processed using the 10x Chromium Controller from 10x Genomics, Single-cell libraries were constructed using the Single Cell 3′ v3.1 Kit (10x Genomics) following manufacturer instructions. ..

Article Title: Drought recovery in plants triggers a cell-state-specific immune activation.
Article Snippet: .. After counting the nuclei, the nuclei suspension was loaded onto microfluidic chips (10X Genomics) with HT-v3.1 chemistry to capture ~20,000 nuclei/sample. .. Cells were barcoded with a Chromium X Controller (10X Genomics). mRNA was reverse transcribed, and Illumina libraries were constructed for sequencing with reagents from a 3’ Gene Expression HT-v3.1 kit (10X Genomics) according to the manufacturer’s instructions. cDNA and final library quality were assessed using Tape-Station High Sensitivity DNA Chip (Agilent, CA).

Single Cell:

Article Title: ABA-induced MYB transcriptional module regulates the differentiation trajectory of chickpea exodermis
Article Snippet: .. The protoplast suspension was loaded into microfluidic chips (10X Genomics) and subsequently processed using the 10x Chromium Controller from 10x Genomics, Single-cell libraries were constructed using the Single Cell 3′ v3.1 Kit (10x Genomics) following manufacturer instructions. ..


Construct:

Article Title: ABA-induced MYB transcriptional module regulates the differentiation trajectory of chickpea exodermis
Article Snippet: .. The protoplast suspension was loaded into microfluidic chips (10X Genomics) and subsequently processed using the 10x Chromium Controller from 10x Genomics, Single-cell libraries were constructed using the Single Cell 3′ v3.1 Kit (10x Genomics) following manufacturer instructions. ..

RNA Sequencing:

Article Title: Human stem cell-derived GABAergic interneuron development reveals early emergence of subtype diversity followed by gradual electrochemical maturation
Article Snippet: .. To capture single nuclei for RNA sequencing, the entire sample that was recovered from the sort was loaded onto 10X Genomics microfluidic chips. ..

Injection:

Article Title: TSLP links intestinal nutrient sensing with amplification of the ILC2–tuft cell circuit
Article Snippet: The pellet was resuspended in prewarmed human fibroblast culture medium (EMEM-Eagle’s minimal essential medium with l -glutamine (Quality Biological, catalog number 112-018-101), PSN, 100 μg ml −1 Normocin (InvivoGen, catalog number ant-nr-2), FCS 20% (v/v) and 50 ng ml −1 recombinant human FGF-basic (PeproTech, catalog number 100-18B)] and plated in a 24-well plate. .. Briefly, cell counts were performed using a hemocytometer and the desired number of cells was injected into microfluidic chips (10x Genomics, catalog number 1000127) to create GEMs with the 10x Chromium controller. ..



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Workflow of single-cell omics in musculoskeletal regeneration research. Six core steps are depicted: (1) Tissue dissociation to obtain high-viability single-cell suspension; (2) Single-cell capture using <t>microfluidic</t> platforms; (3) Library preparation for scRNA-seq/scATAC-seq; (4) High-throughput sequencing with controlled reads per cell; (5) Data preprocessing including quality control and normalization; (6) Bioinformatics analysis for cell clustering, trajectory, and gene regulatory network construction.
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Workflow of single-cell omics in musculoskeletal regeneration research. Six core steps are depicted: (1) Tissue dissociation to obtain high-viability single-cell suspension; (2) Single-cell capture using microfluidic platforms; (3) Library preparation for scRNA-seq/scATAC-seq; (4) High-throughput sequencing with controlled reads per cell; (5) Data preprocessing including quality control and normalization; (6) Bioinformatics analysis for cell clustering, trajectory, and gene regulatory network construction.

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: Multitechnological integration advances musculoskeletal regeneration: synergistic progress of organoids, 3D/4D bioprinting, single-cell omics and artificial intelligence

doi: 10.3389/fbioe.2026.1824644

Figure Lengend Snippet: Workflow of single-cell omics in musculoskeletal regeneration research. Six core steps are depicted: (1) Tissue dissociation to obtain high-viability single-cell suspension; (2) Single-cell capture using microfluidic platforms; (3) Library preparation for scRNA-seq/scATAC-seq; (4) High-throughput sequencing with controlled reads per cell; (5) Data preprocessing including quality control and normalization; (6) Bioinformatics analysis for cell clustering, trajectory, and gene regulatory network construction.

Article Snippet: The methodological workflow of musculoskeletal single-cell omics research includes six core steps: (1) Tissue dissociation: enzymatic digestion (collagenase, trypsin) of fresh musculoskeletal tissue (bone, cartilage, tendon, muscle) to obtain single-cell suspensions with a viability >80% (2) Single-cell capture: using microfluidic chips (e.g., 10x Genomics Chromium); or droplet-based systems to capture individual cells; (3) Library preparation: reverse transcription of single-cell RNA to cDNA, and amplification for scRNA-seq, or chromatin fragmentation and sequencing for scATAC-seq; (4) Sequencing: high-throughput sequencing with a sequencing depth of 50,000–100,000 reads per cell for scRNA-seq, and 20,000–50,000 reads per cell for scATAC-seq; (5) Data preprocessing: quality control (removal of low-quality cells and doublets), normalization and dimensionality reduction (PCA, t-SNE, UMAP); (6) Bioinformatics analysis: cell clustering, cell type annotation, differential gene expression analysis, cell trajectory analysis and gene regulatory network (GRN) construction ( ; ; ).

Techniques: Single Cell, Suspension, Next-Generation Sequencing, Control