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  3. Transcriptional state dynamics and adaptive tumor evolution in bladder cancer

Transcriptional state dynamics and adaptive tumor evolution in bladder cancer

Introduction:

This webinar will present a recent work from Dr. De’s laboratory which indicates that phenotypic plasticity and dynamic, non-genetic intra-tumor heterogeneity modulate both the trajectory of disease progression and adaptive treatment response in UBC.

Learning Objectives:
  • Single cell transcriptomics help profile gene expression profiles in thousands of cells from tissues.
  • The integrative analysis reveals a key regulatory program underlying transcriptional state dynamics in bladder cancer.
  • Transcriptional state dynamics promotes adaptive tumor treatment response in bladder cancer.
Speakers:

Dr. Subhajyoti De — Associate ProfessorDepartment of Pathology Rutgers Cancer Institute

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mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
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Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
    • Cart
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Novogene
  • Novogene
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De Novo Sequencing
    • Microbial Whole Genome Sequencing
    • Microbial De Novo Sequencing

    Metagenomics

    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing

    Transcriptomics

    • mRNA Sequencing
    • Swift & Express mRNA Sequencing New!
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    • Total RNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Whole Transcriptome Sequencing

    Single Cell & Spatial Omics

    • 10x Single Cell Gene Expression
    • Illumina PIP-seq Single Cell 3’ RNA Sequencing New!
    • Spatial Transcriptomics Sequencing New!

    Epigenomics

    • Whole Genome Bisulfite Sequencing (WGBS)
    • Enzymatic Methylation Sequencing
    • Directed Methylation Sequencing (DM-Seq) New!
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • Cleavage Under Targets & Tagmentation (CUT&Tag) New!
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq）
    • Reduced Representation Bisulfite Sequencing (RRBS)

    Proteomics

    • Quantitative Proteomics New!
    • PTM Proteomics New!
    • Olink Proteomics New!

    Metabolomics

    • Untargeted Metabolomics

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on Ultima Sequencer
  • PromotionsPromotions
    • Platforms
    • Service & Support
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
    • Case Study
    • Blog
    • Webinar
    • Brochure
    • Cancer Research
    • Immuno-oncology
    • Agrigenomics
    • Environment
    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
    • About Us
    • Our Locations
    • News & Events
    • Careers
  • Contact UsContact Us
    • mRNA Sequencing
    • Illumina Lane Sequencing
  1. Home
  2. Resources
  3. Transcriptional state dynamics and adaptive tumor evolution in bladder cancer

Transcriptional state dynamics and adaptive tumor evolution in bladder cancer

Introduction:

This webinar will present a recent work from Dr. De’s laboratory which indicates that phenotypic plasticity and dynamic, non-genetic intra-tumor heterogeneity modulate both the trajectory of disease progression and adaptive treatment response in UBC.

Learning Objectives:
  • Single cell transcriptomics help profile gene expression profiles in thousands of cells from tissues.
  • The integrative analysis reveals a key regulatory program underlying transcriptional state dynamics in bladder cancer.
  • Transcriptional state dynamics promotes adaptive tumor treatment response in bladder cancer.
Speakers:

Dr. Subhajyoti De — Associate ProfessorDepartment of Pathology Rutgers Cancer Institute

ServicesServices menu

CompanyCompany menu

Contact UsContact Us menu

Service SupportService Support menu

Services
mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
Company
About UsOur LocationsNews & EventsCareers
Contact Us
Contact Us
Service Support
Automated Delivery Platform (Falcon)Bioinformatics Analysis Tool (NovoMagic)Customer Service System (CSS)
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Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
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