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1.
Cell Stem Cell ; 29(5): 760-775.e10, 2022 05 05.
Artículo en Inglés | MEDLINE | ID: mdl-35523139

RESUMEN

Hematopoietic stem and progenitor cells (HSPCs) are responsible for the production of blood and immune cells. Throughout life, HSPCs acquire oncogenic aberrations that can cause hematological cancers. Although molecular programs maintaining stem cell integrity have been identified, safety mechanisms eliminating malignant HSPCs from the stem cell pool remain poorly characterized. Here, we show that HSPCs constitutively present antigens via major histocompatibility complex class II. The presentation of immunogenic antigens, as occurring during malignant transformation, triggers bidirectional interactions between HSPCs and antigen-specific CD4+ T cells, causing stem cell proliferation, differentiation, and specific exhaustion of aberrant HSPCs. This immunosurveillance mechanism effectively eliminates transformed HSPCs from the hematopoietic system, thereby preventing leukemia onset. Together, our data reveal a bidirectional interaction between HSPCs and CD4+ T cells, demonstrating that HSPCs are not only passive receivers of immunological signals but also actively engage in adaptive immune responses to safeguard the integrity of the stem cell pool.


Asunto(s)
Presentación de Antígeno , Células Madre Hematopoyéticas , Diferenciación Celular , Linfocitos T
2.
Nat Immunol ; 22(12): 1577-1589, 2021 12.
Artículo en Inglés | MEDLINE | ID: mdl-34811546

RESUMEN

Single-cell genomics technology has transformed our understanding of complex cellular systems. However, excessive cost and a lack of strategies for the purification of newly identified cell types impede their functional characterization and large-scale profiling. Here, we have generated high-content single-cell proteo-genomic reference maps of human blood and bone marrow that quantitatively link the expression of up to 197 surface markers to cellular identities and biological processes across all main hematopoietic cell types in healthy aging and leukemia. These reference maps enable the automatic design of cost-effective high-throughput cytometry schemes that outperform state-of-the-art approaches, accurately reflect complex topologies of cellular systems and permit the purification of precisely defined cell states. The systematic integration of cytometry and proteo-genomic data enables the functional capacities of precisely mapped cell states to be measured at the single-cell level. Our study serves as an accessible resource and paves the way for a data-driven era in cytometry.


Asunto(s)
Células Sanguíneas/metabolismo , Células de la Médula Ósea/metabolismo , Separación Celular , Citometría de Flujo , Perfilación de la Expresión Génica , Proteoma , Proteómica , Análisis de la Célula Individual , Transcriptoma , Factores de Edad , Células Sanguíneas/inmunología , Células Sanguíneas/patología , Células de la Médula Ósea/inmunología , Células de la Médula Ósea/patología , Células Cultivadas , Bases de Datos Genéticas , Envejecimiento Saludable/genética , Envejecimiento Saludable/inmunología , Envejecimiento Saludable/metabolismo , Humanos , Leucemia/genética , Leucemia/inmunología , Leucemia/metabolismo , Leucemia/patología , RNA-Seq , Biología de Sistemas
3.
Nat Commun ; 12(1): 1366, 2021 03 01.
Artículo en Inglés | MEDLINE | ID: mdl-33649320

RESUMEN

Cancer stem cells drive disease progression and relapse in many types of cancer. Despite this, a thorough characterization of these cells remains elusive and with it the ability to eradicate cancer at its source. In acute myeloid leukemia (AML), leukemic stem cells (LSCs) underlie mortality but are difficult to isolate due to their low abundance and high similarity to healthy hematopoietic stem cells (HSCs). Here, we demonstrate that LSCs, HSCs, and pre-leukemic stem cells can be identified and molecularly profiled by combining single-cell transcriptomics with lineage tracing using both nuclear and mitochondrial somatic variants. While mutational status discriminates between healthy and cancerous cells, gene expression distinguishes stem cells and progenitor cell populations. Our approach enables the identification of LSC-specific gene expression programs and the characterization of differentiation blocks induced by leukemic mutations. Taken together, we demonstrate the power of single-cell multi-omic approaches in characterizing cancer stem cells.


Asunto(s)
Células Clonales/patología , Leucemia Mieloide Aguda/genética , Leucemia Mieloide Aguda/patología , Células Madre Neoplásicas/metabolismo , Células Madre Neoplásicas/patología , Análisis de la Célula Individual , Transcriptoma/genética , Biomarcadores de Tumor/genética , Médula Ósea/patología , Diferenciación Celular , Regulación Leucémica de la Expresión Génica , Genoma , Células Madre Hematopoyéticas/patología , Humanos , Células K562 , Mitocondrias/genética , Mutación/genética
4.
Development ; 147(12)2020 06 26.
Artículo en Inglés | MEDLINE | ID: mdl-32541009

RESUMEN

Thalamocortical axons (TCAs) cross several tissues on their journey to the cortex. Mechanisms must be in place along the route to ensure they connect with their targets in an orderly fashion. The ventral telencephalon acts as an instructive tissue, but the importance of the diencephalon in TCA mapping is unknown. We report that disruption of diencephalic development by Pax6 deletion results in a thalamocortical projection containing mapping errors. We used conditional mutagenesis to test whether these errors are due to the disruption of pioneer projections from prethalamus to thalamus and found that, although this correlates with abnormal TCA fasciculation, it does not induce topographical errors. To test whether the thalamus contains navigational cues for TCAs, we used slice culture transplants and gene expression studies. We found the thalamic environment is instructive for TCA navigation and that the molecular cues netrin 1 and semaphorin 3a are likely to be involved. Our findings indicate that the correct topographic mapping of TCAs onto the cortex requires the order to be established from the earliest stages of their growth by molecular cues in the thalamus itself.


Asunto(s)
Axones/fisiología , Diencéfalo/metabolismo , Tálamo/metabolismo , Animales , Diencéfalo/patología , Embrión de Mamíferos/metabolismo , Embrión de Mamíferos/patología , Regulación del Desarrollo de la Expresión Génica , Proteínas de Homeodominio/metabolismo , Ratones , Ratones Endogámicos C57BL , Ratones Endogámicos CBA , Ratones Noqueados , Mutagénesis , Netrina-1/metabolismo , Técnicas de Cultivo de Órganos , Factor de Transcripción PAX6/deficiencia , Factor de Transcripción PAX6/genética , Factor de Transcripción PAX6/metabolismo , Semaforina-3A/metabolismo , Tálamo/patología
5.
Nat Cell Biol ; 22(1): 38-48, 2020 01.
Artículo en Inglés | MEDLINE | ID: mdl-31871321

RESUMEN

The bone marrow constitutes the primary site for life-long blood production and skeletal regeneration. However, its cellular and spatial organization remains controversial. Here, we combine single-cell and spatially resolved transcriptomics to systematically map the molecular, cellular and spatial composition of distinct bone marrow niches. This allowed us to transcriptionally profile all major bone-marrow-resident cell types, determine their localization and clarify sources of pro-haematopoietic factors. Our data demonstrate that Cxcl12-abundant-reticular (CAR) cell subsets (Adipo-CAR and Osteo-CAR) differentially localize to sinusoidal and arteriolar surfaces, act locally as 'professional cytokine-secreting cells' and thereby establish peri-vascular micro-niches. Importantly, the three-dimensional bone-marrow organization can be accurately inferred from single-cell transcriptome data using the RNA-Magnet algorithm described here. Together, our study reveals the cellular and spatial organization of bone marrow niches and offers a systematic approach to dissect the complex organization of whole organs.


Asunto(s)
Células de la Médula Ósea/metabolismo , Médula Ósea/metabolismo , Células Madre Hematopoyéticas/metabolismo , Transcriptoma/fisiología , Animales , Células Madre Mesenquimatosas/metabolismo , Osteoblastos/metabolismo , Nicho de Células Madre/fisiología
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