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fluidigm c1 chip  (fluidigm)


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    Structured Review

    fluidigm fluidigm c1 chip
    Fluidigm C1 Chip, supplied by fluidigm, used in various techniques. Bioz Stars score: 96/100, based on 2081 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fluidigm+c1+chip/C1/pm40250790-150-12-12
    Average 96 stars, based on 2081 article reviews
    fluidigm c1 chip - by Bioz Stars, 2026-09
    96/100 stars

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    Related Articles

    Staining:

    Article Title: Kruppel-like factor 2+ CD4 T cells avert microbiota-induced intestinal inflammation.
    Article Snippet: .. Following tetramer staining, C. albicans specific (I-Ab:2W1S55-68) CD4 cells were flow sorted and loaded onto the Fluidigm C1 chip according tomanufacturer’s protocol. ..

    other:

    Article Title: scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching
    Article Snippet: We found that the recovered cyclic signal corresponds to an oscillatory pattern related to the experimental setup (chip capture site and output well positions on the Fluidigm C1 chip used for the experiment), based on the reduced circular variance and increased Moran’s I score of the signal-related marker genes recovered in the original study[16] (Tables 1, 2, Supplementary Figure 8).

    Article Title: scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching
    Article Snippet: First row in each panel corresponds to cell cycle related marker genes (NUSAP1, KPNA2, CCNB1, TPX2 ), second row corresponds to marker genes associated with an oscillatory pattern related to the experimental setup (chip capture site and output well positions on the Fluidigm C1 chip used for the experiment) (RPL13, MIF, PFN1, COX5A).

    Cell Culture:

    Article Title: Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes
    Article Snippet: .. For example, the Fluidigm C1 chip paper listed in the table mentioned that Fluidigm C1 chip is not suitable for cells that cannot be cultured in isolation. .. Moreover, all three listed papers on SCOPE-Seq, SCOPE-seq2, and Fluidigm C1 chip did not show any quantitative analysis for bright-field cell images.

    Isolation:

    Article Title: Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes
    Article Snippet: .. For example, the Fluidigm C1 chip paper listed in the table mentioned that Fluidigm C1 chip is not suitable for cells that cannot be cultured in isolation. .. Moreover, all three listed papers on SCOPE-Seq, SCOPE-seq2, and Fluidigm C1 chip did not show any quantitative analysis for bright-field cell images.

    Article Title: Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes
    Article Snippet: 2017 (33) △ Eclipse Ti fluorescence microscope (Nikon) was used Cells were isolated (captured*) and imaged in microwells** (Fluidigm C1 chip) ○ Library preparation was performed using Fluidigm C1 chip ○ 96 cells can be measured in one Fluidigm C1 chip Not performed J. Yuan, et.al., Genome Biol 2018 (34) SCOPESeq △ Eclipse Ti-U microscope (Nikon) was used Cells were isolated and imaged in PDMS*** microwells**(chip) ○ Library preparation was performed using chip and beads ○ 2,352 RNA-Seq expression profiles were measured using one microwell array device and 1,133 of them were linked to imaging data Not performed Z. Liu, et al., Sci. .. Rep. 2020 (35) SCOPEseq2 △ Eclipse Ti2 microscope (Nikon) was used Cells were isolated and imaged in PDMS*** microwells**(chip) ○ Library preparation was performed using chip and beads ○ >9,000 cells were profiled in one microwell array device and > 4,100 of them were linked to imaging data Not performed ○: Enough, △: Not enough * The capture of Fluidigm C1 chip is cell size- and shape-dependent (36). ..

    Single-cell Isolation:

    Article Title: Multiplex characterization of circulating tumor cells from ductal carcinoma in situ patients suggests early tumor dissemination.
    Article Snippet: While ducal carcinoma in situ (DCIS) is considered to be pre-invasive, some patients will develop metastatic disease after a long disease-free interval.. The prevailing dogma posits that invasive local recurrence is the source of subsequent metastasis, and thus the goal of DCIS therapy is the prevention of local recurrence.. Recently, this paradigm has been called into question by the observation that some women develop metastatic disease in the absence of local recurrence or even following bilateral mastectomies, suggesting early cancer dissemination in some patients.

    Lysis:

    Article Title: Multiplex characterization of circulating tumor cells from ductal carcinoma in situ patients suggests early tumor dissemination.
    Article Snippet: While ducal carcinoma in situ (DCIS) is considered to be pre-invasive, some patients will develop metastatic disease after a long disease-free interval.. The prevailing dogma posits that invasive local recurrence is the source of subsequent metastasis, and thus the goal of DCIS therapy is the prevention of local recurrence.. Recently, this paradigm has been called into question by the observation that some women develop metastatic disease in the absence of local recurrence or even following bilateral mastectomies, suggesting early cancer dissemination in some patients.

    Reverse Transcription:

    Article Title: Multiplex characterization of circulating tumor cells from ductal carcinoma in situ patients suggests early tumor dissemination.
    Article Snippet: While ducal carcinoma in situ (DCIS) is considered to be pre-invasive, some patients will develop metastatic disease after a long disease-free interval.. The prevailing dogma posits that invasive local recurrence is the source of subsequent metastasis, and thus the goal of DCIS therapy is the prevention of local recurrence.. Recently, this paradigm has been called into question by the observation that some women develop metastatic disease in the absence of local recurrence or even following bilateral mastectomies, suggesting early cancer dissemination in some patients.

    Microscopy:

    Article Title: Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes
    Article Snippet: 2017 (33) △ Eclipse Ti fluorescence microscope (Nikon) was used Cells were isolated (captured*) and imaged in microwells** (Fluidigm C1 chip) ○ Library preparation was performed using Fluidigm C1 chip ○ 96 cells can be measured in one Fluidigm C1 chip Not performed J. Yuan, et.al., Genome Biol 2018 (34) SCOPESeq △ Eclipse Ti-U microscope (Nikon) was used Cells were isolated and imaged in PDMS*** microwells**(chip) ○ Library preparation was performed using chip and beads ○ 2,352 RNA-Seq expression profiles were measured using one microwell array device and 1,133 of them were linked to imaging data Not performed Z. Liu, et al., Sci. .. Rep. 2020 (35) SCOPEseq2 △ Eclipse Ti2 microscope (Nikon) was used Cells were isolated and imaged in PDMS*** microwells**(chip) ○ Library preparation was performed using chip and beads ○ >9,000 cells were profiled in one microwell array device and > 4,100 of them were linked to imaging data Not performed ○: Enough, △: Not enough * The capture of Fluidigm C1 chip is cell size- and shape-dependent (36). ..

    Imaging:

    Article Title: Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes
    Article Snippet: 2017 (33) △ Eclipse Ti fluorescence microscope (Nikon) was used Cells were isolated (captured*) and imaged in microwells** (Fluidigm C1 chip) ○ Library preparation was performed using Fluidigm C1 chip ○ 96 cells can be measured in one Fluidigm C1 chip Not performed J. Yuan, et.al., Genome Biol 2018 (34) SCOPESeq △ Eclipse Ti-U microscope (Nikon) was used Cells were isolated and imaged in PDMS*** microwells**(chip) ○ Library preparation was performed using chip and beads ○ 2,352 RNA-Seq expression profiles were measured using one microwell array device and 1,133 of them were linked to imaging data Not performed Z. Liu, et al., Sci. .. Rep. 2020 (35) SCOPEseq2 △ Eclipse Ti2 microscope (Nikon) was used Cells were isolated and imaged in PDMS*** microwells**(chip) ○ Library preparation was performed using chip and beads ○ >9,000 cells were profiled in one microwell array device and > 4,100 of them were linked to imaging data Not performed ○: Enough, △: Not enough * The capture of Fluidigm C1 chip is cell size- and shape-dependent (36). ..

    Live Cell Imaging:

    Article Title: Spatially Precise In Situ Transcriptomics in Intact Biological Systems
    Article Snippet: One approach to address this challenge was to modify the Fluidigm C1 chip for compatibility with live-cell imaging in the microwells, followed by direct in-well single-cell RNA sequencing library preparation, directly relating dynamics (in this case, NF-KB dynamics) to single-cell transcriptomic profiles [346]. .. One approach to address this challenge was to modify the Fluidigm C1 chip for compatibility with live-cell imaging in the microwells, followed by direct in-well single-cell RNA sequencing library preparation, directly relating dynamics (in this case, NF-KB dynamics) to single-cell transcriptomic profiles [346]. ..

    RNA Sequencing:

    Article Title: Spatially Precise In Situ Transcriptomics in Intact Biological Systems
    Article Snippet: One approach to address this challenge was to modify the Fluidigm C1 chip for compatibility with live-cell imaging in the microwells, followed by direct in-well single-cell RNA sequencing library preparation, directly relating dynamics (in this case, NF-KB dynamics) to single-cell transcriptomic profiles [346]. .. One approach to address this challenge was to modify the Fluidigm C1 chip for compatibility with live-cell imaging in the microwells, followed by direct in-well single-cell RNA sequencing library preparation, directly relating dynamics (in this case, NF-KB dynamics) to single-cell transcriptomic profiles [346]. ..

    Phospho-proteomics:

    Article Title: Unlocking ovarian cancer heterogeneity: advancing immunotherapy through single-cell transcriptomics
    Article Snippet: .. Ovarian tumor biopsy , Primary HGSOC tumor biopsy , N=1 92 single cells from tumor tissues , Pre-chemotherapy , 1. Identification of two major cell subsets characterized based on epithelial (proliferative genes, and genes related to oxidative phosphorylation and MYC activity) and stromal (extracellular matrix genes and genes associated with epithelial-to-mesenchymal transition) gene expression patterns. 2. Neither of these groups displayed gene expression patterns associated with chemoresistance based on three independent studies. , Fluidigm C1 chip, Illumina HiSeq2500 , ( ) . .. , Primary HGSTOC tumor biopsy , N=7 18,403 single cells from 7 tumor tissues , Pre-chemotherapy , 1. Detection of 11 cancer cell and 32 stromal cell subtypes deriving from both the primary ovarian tumor and its metastatic peritoneal or omental lesions. 2. Discovery of 43 new potential targets for therapy and 6 cellular phenotypes of prognostic significance. 3. Cells group of 21 clusters representing 8 major cell types based on canonical marker gene expression across these clusters including epithelial cancer cells, myeloid cells, dendritic cells, T cells, B cells, fibroblasts, endothelial cells and ovarian stromal cells. , Chromium Single Cell 3’ Library, Gel Bead & Multiplex kit and chip kit (10X Genomics), Illumina HiSeq 4000 , ( ) .

    Activity Assay:

    Article Title: Unlocking ovarian cancer heterogeneity: advancing immunotherapy through single-cell transcriptomics
    Article Snippet: .. Ovarian tumor biopsy , Primary HGSOC tumor biopsy , N=1 92 single cells from tumor tissues , Pre-chemotherapy , 1. Identification of two major cell subsets characterized based on epithelial (proliferative genes, and genes related to oxidative phosphorylation and MYC activity) and stromal (extracellular matrix genes and genes associated with epithelial-to-mesenchymal transition) gene expression patterns. 2. Neither of these groups displayed gene expression patterns associated with chemoresistance based on three independent studies. , Fluidigm C1 chip, Illumina HiSeq2500 , ( ) . .. , Primary HGSTOC tumor biopsy , N=7 18,403 single cells from 7 tumor tissues , Pre-chemotherapy , 1. Detection of 11 cancer cell and 32 stromal cell subtypes deriving from both the primary ovarian tumor and its metastatic peritoneal or omental lesions. 2. Discovery of 43 new potential targets for therapy and 6 cellular phenotypes of prognostic significance. 3. Cells group of 21 clusters representing 8 major cell types based on canonical marker gene expression across these clusters including epithelial cancer cells, myeloid cells, dendritic cells, T cells, B cells, fibroblasts, endothelial cells and ovarian stromal cells. , Chromium Single Cell 3’ Library, Gel Bead & Multiplex kit and chip kit (10X Genomics), Illumina HiSeq 4000 , ( ) .

    Gene Expression:

    Article Title: Unlocking ovarian cancer heterogeneity: advancing immunotherapy through single-cell transcriptomics
    Article Snippet: .. Ovarian tumor biopsy , Primary HGSOC tumor biopsy , N=1 92 single cells from tumor tissues , Pre-chemotherapy , 1. Identification of two major cell subsets characterized based on epithelial (proliferative genes, and genes related to oxidative phosphorylation and MYC activity) and stromal (extracellular matrix genes and genes associated with epithelial-to-mesenchymal transition) gene expression patterns. 2. Neither of these groups displayed gene expression patterns associated with chemoresistance based on three independent studies. , Fluidigm C1 chip, Illumina HiSeq2500 , ( ) . .. , Primary HGSTOC tumor biopsy , N=7 18,403 single cells from 7 tumor tissues , Pre-chemotherapy , 1. Detection of 11 cancer cell and 32 stromal cell subtypes deriving from both the primary ovarian tumor and its metastatic peritoneal or omental lesions. 2. Discovery of 43 new potential targets for therapy and 6 cellular phenotypes of prognostic significance. 3. Cells group of 21 clusters representing 8 major cell types based on canonical marker gene expression across these clusters including epithelial cancer cells, myeloid cells, dendritic cells, T cells, B cells, fibroblasts, endothelial cells and ovarian stromal cells. , Chromium Single Cell 3’ Library, Gel Bead & Multiplex kit and chip kit (10X Genomics), Illumina HiSeq 4000 , ( ) .



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    a) Single cell and barcode beads are co-encapsulated by <t>microfluidics</t> platform. The primers on the barcode beads are equipped with handles for library preparation and single cell barcode and ended with rDS (red) or polyT5C8N (blue), which target both polyA+ and polyA-RNA transcripts. b) Gene-body coverage across all genes based on merged single cells data showing strong 3’ bias for inDrops and mostly uniform with a small 3’ bias for sc-rDSeq. Each gene is divided into 40 segments and counts failing into each segment are calculated for coverage. Ribbon area shows the SEM around mean. c) The boxplot displays nUMI/cell for sc-rDSeq and inDrops. On average, sc-rDSeq captures 90k nUMI/cell, inDrops captures 7.4k nUMI/cell. d) Distribution of uniquely mapped reads in each type of genomic locations with merged single cells data. e) Percentage of genes detected by sc-rDSeq compared to inDrops. f) Histogram showing normalized distribution of the fraction of transcripts per biotype expressed in single cells, comparing sc-rDSeq to inDrops. g) Cost comparison of sc-rDSeq and other single RNA-seq technologies. Top bars (red) for instrument cost, and bottom bars (blue) for library and sequencing cost per cell. h) UMAP of PC9 cells (n = 680) based on total transcriptome, revealing four clusters of populations. i) Differentially expressed genes were identified using KNN unsupervised clustering of total transcriptome expression. The average expression of selected marker genes for each cluster are presented in dot plot. j) Top five GO terms enriched in each cluster, ranked by fold enrichment. k) The average expression of polyA-RNAs showed heterogeneity, including histone RNAs, lncRNAs, sncRNAs, and microRNAs.
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    Image Search Results


    a) Single cell and barcode beads are co-encapsulated by microfluidics platform. The primers on the barcode beads are equipped with handles for library preparation and single cell barcode and ended with rDS (red) or polyT5C8N (blue), which target both polyA+ and polyA-RNA transcripts. b) Gene-body coverage across all genes based on merged single cells data showing strong 3’ bias for inDrops and mostly uniform with a small 3’ bias for sc-rDSeq. Each gene is divided into 40 segments and counts failing into each segment are calculated for coverage. Ribbon area shows the SEM around mean. c) The boxplot displays nUMI/cell for sc-rDSeq and inDrops. On average, sc-rDSeq captures 90k nUMI/cell, inDrops captures 7.4k nUMI/cell. d) Distribution of uniquely mapped reads in each type of genomic locations with merged single cells data. e) Percentage of genes detected by sc-rDSeq compared to inDrops. f) Histogram showing normalized distribution of the fraction of transcripts per biotype expressed in single cells, comparing sc-rDSeq to inDrops. g) Cost comparison of sc-rDSeq and other single RNA-seq technologies. Top bars (red) for instrument cost, and bottom bars (blue) for library and sequencing cost per cell. h) UMAP of PC9 cells (n = 680) based on total transcriptome, revealing four clusters of populations. i) Differentially expressed genes were identified using KNN unsupervised clustering of total transcriptome expression. The average expression of selected marker genes for each cluster are presented in dot plot. j) Top five GO terms enriched in each cluster, ranked by fold enrichment. k) The average expression of polyA-RNAs showed heterogeneity, including histone RNAs, lncRNAs, sncRNAs, and microRNAs.

    Journal: bioRxiv

    Article Title: Expanding single-cell toolbox with a cost-effective full-length total RNA droplet-based sequencing technology

    doi: 10.1101/2025.02.23.639726

    Figure Lengend Snippet: a) Single cell and barcode beads are co-encapsulated by microfluidics platform. The primers on the barcode beads are equipped with handles for library preparation and single cell barcode and ended with rDS (red) or polyT5C8N (blue), which target both polyA+ and polyA-RNA transcripts. b) Gene-body coverage across all genes based on merged single cells data showing strong 3’ bias for inDrops and mostly uniform with a small 3’ bias for sc-rDSeq. Each gene is divided into 40 segments and counts failing into each segment are calculated for coverage. Ribbon area shows the SEM around mean. c) The boxplot displays nUMI/cell for sc-rDSeq and inDrops. On average, sc-rDSeq captures 90k nUMI/cell, inDrops captures 7.4k nUMI/cell. d) Distribution of uniquely mapped reads in each type of genomic locations with merged single cells data. e) Percentage of genes detected by sc-rDSeq compared to inDrops. f) Histogram showing normalized distribution of the fraction of transcripts per biotype expressed in single cells, comparing sc-rDSeq to inDrops. g) Cost comparison of sc-rDSeq and other single RNA-seq technologies. Top bars (red) for instrument cost, and bottom bars (blue) for library and sequencing cost per cell. h) UMAP of PC9 cells (n = 680) based on total transcriptome, revealing four clusters of populations. i) Differentially expressed genes were identified using KNN unsupervised clustering of total transcriptome expression. The average expression of selected marker genes for each cluster are presented in dot plot. j) Top five GO terms enriched in each cluster, ranked by fold enrichment. k) The average expression of polyA-RNAs showed heterogeneity, including histone RNAs, lncRNAs, sncRNAs, and microRNAs.

    Article Snippet: The single cell isolation is based on Fluidigm C1 microfluidics chips, which has limited throughput, and the method does not incorporate UMIs for PCR deduplication.

    Techniques: Comparison, RNA Sequencing, Sequencing, Expressing, Marker