BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

707 related articles for article (PubMed ID: 34927917)

  • 1. Single-Cell Sequencing Methodologies: From Transcriptome to Multi-Dimensional Measurement.
    Chen Y; Song J; Ruan Q; Zeng X; Wu L; Cai L; Wang X; Yang C
    Small Methods; 2021 Jun; 5(6):e2100111. PubMed ID: 34927917
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data Analysis in Single-Cell Transcriptome Sequencing.
    Gao S
    Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.
    Slovin S; Carissimo A; Panariello F; Grimaldi A; Bouché V; Gambardella G; Cacchiarelli D
    Methods Mol Biol; 2021; 2284():343-365. PubMed ID: 33835452
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The promise of single-cell RNA sequencing for kidney disease investigation.
    Wu H; Humphreys BD
    Kidney Int; 2017 Dec; 92(6):1334-1342. PubMed ID: 28893418
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Single-Cell Transcriptome Profiling.
    Shapira G; Shomron N
    Methods Mol Biol; 2021; 2243():311-325. PubMed ID: 33606265
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Breathing fresh air into respiratory research with single-cell RNA sequencing.
    Alexander MJ; Budinger GRS; Reyfman PA
    Eur Respir Rev; 2020 Jun; 29(156):. PubMed ID: 32620586
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.
    Arsenio J
    Methods Mol Biol; 2020; 2184():1-18. PubMed ID: 32808214
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Single-Cell RNA Sequencing for Plant Research: Insights and Possible Benefits.
    Bawa G; Liu Z; Yu X; Qin A; Sun X
    Int J Mol Sci; 2022 Apr; 23(9):. PubMed ID: 35562888
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell Level.
    Mair F; Erickson JR; Voillet V; Simoni Y; Bi T; Tyznik AJ; Martin J; Gottardo R; Newell EW; Prlic M
    Cell Rep; 2020 Apr; 31(1):107499. PubMed ID: 32268080
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Elucidating the cellular dynamics of the brain with single-cell RNA sequencing.
    Cardona-Alberich A; Tourbez M; Pearce SF; Sibley CR
    RNA Biol; 2021 Jul; 18(7):1063-1084. PubMed ID: 33499699
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline.
    Mikolajewicz N; Gacesa R; Aguilera-Uribe M; Brown KR; Moffat J; Han H
    Commun Biol; 2022 Oct; 5(1):1142. PubMed ID: 36307536
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing.
    Gupta RK; Kuznicki J
    Cells; 2020 Jul; 9(8):. PubMed ID: 32707839
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Informative Approach to Single-Cell Sequencing Analysis.
    Kashima Y; Suzuki A; Suzuki Y
    Adv Exp Med Biol; 2019; 1129():81-96. PubMed ID: 30968362
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MorphoSeq: Full Single-Cell Transcriptome Dynamics Up to Gastrulation in a Chordate.
    Sladitschek HL; Fiuza UM; Pavlinic D; Benes V; Hufnagel L; Neveu PA
    Cell; 2020 May; 181(4):922-935.e21. PubMed ID: 32315617
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
    Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
    F1000Res; 2018; 7():1306. PubMed ID: 31316748
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Single-Cell RNA Sequencing for Studying Human Cancers.
    Aran D
    Annu Rev Biomed Data Sci; 2023 Aug; 6():1-22. PubMed ID: 37040737
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.
    Dharmat R; Kim S; Li Y; Chen R
    Methods Mol Biol; 2020; 2092():159-186. PubMed ID: 31786788
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Single-cell and spatial transcriptomics approaches of cardiovascular development and disease.
    Roth R; Kim S; Kim J; Rhee S
    BMB Rep; 2020 Aug; 53(8):393-399. PubMed ID: 32684243
    [TBL] [Abstract][Full Text] [Related]  

  • 19. scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq data.
    Zeng P; Ma Y; Lin Z
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36383176
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Cell Types from Single-Cell Transcriptomic Data.
    Shekhar K; Menon V
    Methods Mol Biol; 2019; 1935():45-77. PubMed ID: 30758819
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 36.