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Broad Institute Inc cerebellum slide-seq datasets
Cerebellum Slide Seq Datasets, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slide-seq+datasets/slide+seqv2/pm31748748-314-1-8
Average 90 stars, based on 1 article reviews
cerebellum slide-seq datasets - by Bioz Stars, 2026-11
90/100 stars

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Related Articles

Expressing:

Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics).

Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal.

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer
Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948.

Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948.

Western Blot:

Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics).

Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal.

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer
Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948.

Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948.

Staining:

Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics).

Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal.

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer
Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948.

Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948.

Control:

Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics).

Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal.

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer
Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948.

Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948.

Quantitative Proteomics:

Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics).

Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal.

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer
Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948.

Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948.

RNA Expression:

Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics).

Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal.

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 .

Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer
Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ .

Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data
Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948.

Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing
Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948.



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Image Search Results


Shows the quantitative assessment result for domain identification using human dorsal prefrontal cortex (DLPFC) and  Slide-seq dataset

Journal: Communications Biology

Article Title: SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics

doi: 10.1038/s42003-024-06349-5

Figure Lengend Snippet: Shows the quantitative assessment result for domain identification using human dorsal prefrontal cortex (DLPFC) and Slide-seq dataset

Article Snippet: The spatial Slide-seq dataset and the corresponding scRNA-seq retrieved from the Broad Institute single-cell portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ).

Techniques: