Untangling the web of intratumour heterogeneity DOI
Zheqi Li, Marco Seehawer, Kornélia Polyák

и другие.

Nature Cell Biology, Год журнала: 2022, Номер 24(8), С. 1192 - 1201

Опубликована: Авг. 1, 2022

Язык: Английский

Metastasis DOI Creative Commons

Stefanie Gerstberger,

Qingwen Jiang, Karuna Ganesh

и другие.

Cell, Год журнала: 2023, Номер 186(8), С. 1564 - 1579

Опубликована: Апрель 1, 2023

Язык: Английский

Процитировано

357

Applications of single-cell sequencing in cancer research: progress and perspectives DOI Creative Commons

Yalan Lei,

Rong Tang, Jin Xu

и другие.

Journal of Hematology & Oncology, Год журнала: 2021, Номер 14(1)

Опубликована: Июнь 9, 2021

Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics is a powerful tool to decipher the cellular molecular landscape at single-cell resolution, unlike bulk which provides averaged data. The use of sequencing in cancer research has revolutionized our understanding biological characteristics dynamics within lesions. In this review, we summarize emerging technologies recent progress obtained by information related landscapes malignant cells immune cells, tumor heterogeneity, circulating underlying mechanisms behaviors. Overall, prospects facilitating diagnosis, targeted therapy prognostic prediction among spectrum tumors are bright. near future, advances will undoubtedly improve highlight potential precise therapeutic targets for patients.

Язык: Английский

Процитировано

356

CRISPR in cancer biology and therapy DOI Open Access
Alyna Katti, Bianca J. Diaz, Christina M. Caragine

и другие.

Nature reviews. Cancer, Год журнала: 2022, Номер 22(5), С. 259 - 279

Опубликована: Фев. 22, 2022

Язык: Английский

Процитировано

291

Single-cell lineage tracing of metastatic cancer reveals selection of hybrid EMT states DOI Creative Commons
Kamen P. Simeonov, China N. Byrns, Megan L. Clark

и другие.

Cancer Cell, Год журнала: 2021, Номер 39(8), С. 1150 - 1162.e9

Опубликована: Июнь 10, 2021

Язык: Английский

Процитировано

253

Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts DOI Open Access
Jeffrey J. Quinn, Matthew G. Jones, Ross A. Okimoto

и другие.

Science, Год журнала: 2021, Номер 371(6532)

Опубликована: Янв. 21, 2021

Following cancer through the body The heterogeneity of mammalian tumors has been well documented, but it remains unknown how differences between individual cells lead to metastasis and spread throughout body. Quinn et al. created a Cas9-based lineage tracer used single-cell sequencing generate phylogenies follow movement metastatic human implanted in lung mouse xenograph model. Using this model, they found that within same cell line, exhibited diverse phenotypes. These subclones differential gene expression profiles, some which were previously associated with metastasis. Science , issue p. eabc1944

Язык: Английский

Процитировано

233

Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution DOI Creative Commons
Dian Yang, Matthew G. Jones,

Santiago Naranjo

и другие.

Cell, Год журнала: 2022, Номер 185(11), С. 1905 - 1923.e25

Опубликована: Май 1, 2022

Tumor evolution is driven by the progressive acquisition of genetic and epigenetic alterations that enable uncontrolled growth expansion to neighboring distal tissues. The study phylogenetic relationships between cancer cells provides key insights into these processes. Here, we introduced an evolving lineage-tracing system with a single-cell RNA-seq readout mouse model Kras;Trp53(KP)-driven lung adenocarcinoma tracked tumor from single-transformed metastatic tumors at unprecedented resolution. We found loss initial, stable alveolar-type2-like state was accompanied transient increase in plasticity. This followed adoption distinct transcriptional programs rapid and, ultimately, clonal sweep subclones capable metastasizing. Finally, develop through stereotypical evolutionary trajectories, perturbing additional suppressors accelerates progression creating novel trajectories. Our elucidates hierarchical nature more broadly, enables in-depth studies progression.

Язык: Английский

Процитировано

221

Applications of single-cell RNA sequencing in drug discovery and development DOI Creative Commons
Bram Van de Sande, Joon Sang Lee, Euphemia Mutasa-Gottgens

и другие.

Nature Reviews Drug Discovery, Год журнала: 2023, Номер 22(6), С. 496 - 520

Опубликована: Апрель 28, 2023

Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods, together with associated computational tools and the growing availability of public data resources, are transforming drug discovery development. New opportunities emerging in target identification owing to improved disease understanding through cell subtyping, highly multiplexed functional genomics screens incorporating scRNA-seq enhancing credentialling prioritization. ScRNA-seq is also aiding selection relevant preclinical models providing new insights into mechanisms action. In clinical development, can inform decision-making via biomarker for patient stratification more precise monitoring response progression. Here, we illustrate how methods being applied key steps discuss ongoing challenges their implementation pharmaceutical industry. There have been significant recent advances development remarkable Ferran colleagues primarily pipeline, from decision-making. Ongoing potential future directions discussed.

Язык: Английский

Процитировано

202

A new era in functional genomics screens DOI
Laralynne Przybyla, Luke A. Gilbert

Nature Reviews Genetics, Год журнала: 2021, Номер 23(2), С. 89 - 103

Опубликована: Сен. 20, 2021

Язык: Английский

Процитировано

182

Lineage recording in human cerebral organoids DOI Creative Commons
Zhisong He, Ashley Maynard, Akanksha Jain

и другие.

Nature Methods, Год журнала: 2021, Номер 19(1), С. 90 - 99

Опубликована: Дек. 30, 2021

Abstract Induced pluripotent stem cell (iPSC)-derived organoids provide models to study human organ development. Single-cell transcriptomics enable highly resolved descriptions of states within these systems; however, approaches are needed directly measure lineage relationships. Here we establish iTracer, a recorder that combines reporter barcodes with inducible CRISPR–Cas9 scarring and is compatible single-cell spatial transcriptomics. We apply iTracer explore clonality dynamics during cerebral organoid development identify time window fate restriction as well variation in neurogenic between progenitor neuron families. also long-term four-dimensional light-sheet microscopy for recording confirm regional the developing neuroepithelium. incorporate gene perturbation (iTracer-perturb) assess effect mosaic TSC2 mutations on Our data shed light how lineages fates established formation. More broadly, our techniques can be adapted any iPSC-derived culture system dissect alterations normal or perturbed

Язык: Английский

Процитировано

146

Variability within rare cell states enables multiple paths toward drug resistance DOI
Benjamin Emert, Christopher Coté, Eduardo A. Torre

и другие.

Nature Biotechnology, Год журнала: 2021, Номер 39(7), С. 865 - 876

Опубликована: Фев. 22, 2021

Язык: Английский

Процитировано

131