BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

276 related articles for article (PubMed ID: 28296635)

  • 1. Dynamics of embryonic stem cell differentiation inferred from single-cell transcriptomics show a series of transitions through discrete cell states.
    Jang S; Choubey S; Furchtgott L; Zou LN; Doyle A; Menon V; Loew EB; Krostag AR; Martinez RA; Madisen L; Levi BP; Ramanathan S
    Elife; 2017 Mar; 6():. PubMed ID: 28296635
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A new way to build cell lineages.
    Zhang X; Yosef N
    Elife; 2017 Mar; 6():. PubMed ID: 28332977
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A common molecular logic determines embryonic stem cell self-renewal and reprogramming.
    Dunn SJ; Li MA; Carbognin E; Smith A; Martello G
    EMBO J; 2019 Jan; 38(1):. PubMed ID: 30482756
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling signaling-dependent pluripotency with Boolean logic to predict cell fate transitions.
    Yachie-Kinoshita A; Onishi K; Ostblom J; Langley MA; Posfai E; Rossant J; Zandstra PW
    Mol Syst Biol; 2018 Jan; 14(1):e7952. PubMed ID: 29378814
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discovering sparse transcription factor codes for cell states and state transitions during development.
    Furchtgott LA; Melton S; Menon V; Ramanathan S
    Elife; 2017 Mar; 6():. PubMed ID: 28296636
    [TBL] [Abstract][Full Text] [Related]  

  • 6. FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data.
    Herman JS; Sagar ; Grün D
    Nat Methods; 2018 May; 15(5):379-386. PubMed ID: 29630061
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Multiplexed Barcodelet Single-Cell RNA-Seq Approach Elucidates Combinatorial Signaling Pathways that Drive ESC Differentiation.
    Yeo GHT; Lin L; Qi CY; Cha M; Gifford DK; Sherwood RI
    Cell Stem Cell; 2020 Jun; 26(6):938-950.e6. PubMed ID: 32459995
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON.
    Wang P; Wen X; Li H; Lang P; Li S; Lei Y; Shu H; Gao L; Zhao D; Zeng J
    Nat Commun; 2023 Dec; 14(1):8459. PubMed ID: 38123534
    [TBL] [Abstract][Full Text] [Related]  

  • 9. scPADGRN: A preconditioned ADMM approach for reconstructing dynamic gene regulatory network using single-cell RNA sequencing data.
    Zheng X; Huang Y; Zou X
    PLoS Comput Biol; 2020 Jul; 16(7):e1007471. PubMed ID: 32716923
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data.
    Gong W; Koyano-Nakagawa N; Li T; Garry DJ
    BMC Bioinformatics; 2015 Mar; 16():74. PubMed ID: 25887857
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Expression patterns of germ line specific genes in mouse and human pluripotent stem cells are associated with regulation of ground and primed state of pluripotency].
    Gordeev OF; Lifantseva NV; Khaĭdukov SV
    Ontogenez; 2011; 42(6):403-24. PubMed ID: 22288104
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An ensemble approach for inferring semi-quantitative regulatory dynamics for the differentiation of mouse embryonic stem cells using prior knowledge.
    Lutter D; Bruns P; Theis FJ
    Adv Exp Med Biol; 2012; 736():247-60. PubMed ID: 22161333
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cell-type-specific predictive network yields novel insights into mouse embryonic stem cell self-renewal and cell fate.
    Dowell KG; Simons AK; Wang ZZ; Yun K; Hibbs MA
    PLoS One; 2013; 8(2):e56810. PubMed ID: 23468881
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements.
    Hormoz S; Singer ZS; Linton JM; Antebi YE; Shraiman BI; Elowitz MB
    Cell Syst; 2016 Nov; 3(5):419-433.e8. PubMed ID: 27883889
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An integer programming formulation to identify the sparse network architecture governing differentiation of embryonic stem cells.
    Banerjee I; Maiti S; Parashurama N; Yarmush M
    Bioinformatics; 2010 May; 26(10):1332-9. PubMed ID: 20363729
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigating Cell Fate Decisions with ICGS Analysis of Single Cells.
    Salomonis N
    Methods Mol Biol; 2019; 1975():251-275. PubMed ID: 31062314
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MicroRNAs organize intrinsic variation into stem cell states.
    Chakraborty M; Hu S; Visness E; Del Giudice M; De Martino A; Bosia C; Sharp PA; Garg S
    Proc Natl Acad Sci U S A; 2020 Mar; 117(12):6942-6950. PubMed ID: 32139605
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transcriptional landscape changes during human embryonic stem cell derivation.
    Warrier S; Taelman J; Tilleman L; Van der Jeught M; Duggal G; Lierman S; Popovic M; Van Soom A; Peelman L; Van Nieuwerburgh F; Deforce D; Chuva de Sousa Lopes SM; De Sutter P; Heindryckx B
    Mol Hum Reprod; 2018 Nov; 24(11):543-555. PubMed ID: 30239859
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Single cell analysis reveals a biophysical aspect of collective cell-state transition in embryonic stem cell differentiation.
    Okamoto K; Germond A; Fujita H; Furusawa C; Okada Y; Watanabe TM
    Sci Rep; 2018 Aug; 8(1):11965. PubMed ID: 30097661
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Single-cell topological RNA-seq analysis reveals insights into cellular differentiation and development.
    Rizvi AH; Camara PG; Kandror EK; Roberts TJ; Schieren I; Maniatis T; Rabadan R
    Nat Biotechnol; 2017 Jun; 35(6):551-560. PubMed ID: 28459448
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.