Embaie BT, Sarkar H, Alchahin AM, Otte J, Olsen TK, Tümmler C, Kameneva P, Artemov AV, Akkuratova N, Adameyko I, Stukenborg JB, Wickström M, Kogner P, Johnsen JI, Mei S, Kharchenko PV, Baryawno N. (2025) Comparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell State. Cancer Res [Epub ahead of print]. [article]
Researchers in the group of Associate Professor Ninib Baryawno, Department of Women’s and Children’s Health, KI, have made significant strides in the fight against pediatric cancer by studying tumors of the nervous system, particularly neuroblastoma. The study is published in Cancer Research, the journal of the American Association for Cancer.
Neuroblastoma, a heterogeneous and complex pediatric cancer, lies at the core of the research group’s efforts. Its wide variation in chemosensitivity and resistance presents a major challenge to developing effective treatments.
Exploring the complexity of pediatric cancer
By combining basic and translational research, the Baryawno Lab utilizes advanced technologies such as single-cell analysis and functional preclinical testing to explore the role of the tumor microenvironment in cancer progression, metastasis, and therapy resistance.
To address this, the group has studied genetically engineered models that spontaneously develop neuroblastoma while maintaining an intact immune system. Using single-cell RNA sequencing, they have analyzed tumor tissues at an unprecedented resolution, mapping the diverse cellular and molecular components of the tumor and its microenvironment.
These insights have enabled the creation of ex vivo tumoroid models that faithfully replicate the complexity of patient tumors.
The next steps in the fight against cancer
The future of this research is promising. The next steps include utilizing the tumoroid culture systems for high-throughput drug screening and CRISPR-based functional genomics studies. The group also aims to expand the platform to model metastatic disease in neuroblastoma and create patient-derived xenograft (PDX) organoids.
Source – Karolinska Institutet
Embaie BT, Sarkar H, Alchahin AM, Otte J, Olsen TK, Tümmler C, Kameneva P, Artemov AV, Akkuratova N, Adameyko I, Stukenborg JB, Wickström M, Kogner P, Johnsen JI, Mei S, Kharchenko PV, Baryawno N. (2025) Comparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell State. Cancer Res [Epub ahead of print]. [article]
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Researchers in the group of Associate Professor Ninib Baryawno, Department of Women’s and Children’s Health, KI, have made significant strides in the fight against pediatric cancer by studying tumors of the nervous system, particularly neuroblastoma. The study is published in Cancer Research, the journal of the American Association for Cancer.
Neuroblastoma, a heterogeneous and complex pediatric cancer, lies at the core of the research group’s efforts. Its wide variation in chemosensitivity and resistance presents a major challenge to developing effective treatments.
Exploring the complexity of pediatric cancer
By combining basic and translational research, the Baryawno Lab utilizes advanced technologies such as single-cell analysis and functional preclinical testing to explore the role of the tumor microenvironment in cancer progression, metastasis, and therapy resistance.
To address this, the group has studied genetically engineered models that spontaneously develop neuroblastoma while maintaining an intact immune system. Using single-cell RNA sequencing, they have analyzed tumor tissues at an unprecedented resolution, mapping the diverse cellular and molecular components of the tumor and its microenvironment.
These insights have enabled the creation of ex vivo tumoroid models that faithfully replicate the complexity of patient tumors.
The next steps in the fight against cancer
The future of this research is promising. The next steps include utilizing the tumoroid culture systems for high-throughput drug screening and CRISPR-based functional genomics studies. The group also aims to expand the platform to model metastatic disease in neuroblastoma and create patient-derived xenograft (PDX) organoids.
Source – Karolinska Institutet
Embaie BT, Sarkar H, Alchahin AM, Otte J, Olsen TK, Tümmler C, Kameneva P, Artemov AV, Akkuratova N, Adameyko I, Stukenborg JB, Wickström M, Kogner P, Johnsen JI, Mei S, Kharchenko PV, Baryawno N. (2025) Comparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell State. Cancer Res [Epub ahead of print]. [article]
Related Posts
RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
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