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Featured researches published by Daniel Hidalgo.


PLOS Biology | 2012

Stat5 Signaling Specifies Basal versus Stress Erythropoietic Responses through Distinct Binary and Graded Dynamic Modalities

Ermelinda Porpiglia; Daniel Hidalgo; Miroslav Koulnis; Abraham R. Tzafriri; Merav Socolovsky

Stat5 signaling in erythroblasts can assume either a binary, low-intensity form, essential for basal erythropoiesis, or a graded, high-intensity response, restricted to early erythroblasts and to erythropoietic stress.


Nature | 2018

Population snapshots predict early haematopoietic and erythroid hierarchies

Betsabeh Khoramian Tusi; Samuel L. Wolock; Caleb Weinreb; Yung Hwang; Daniel Hidalgo; Rapolas Zilionis; Ari Waisman; Jun R. Huh; Allon M. Klein; Merav Socolovsky

The formation of red blood cells begins with the differentiation of multipotent haematopoietic progenitors. Reconstructing the steps of this differentiation represents a general challenge in stem-cell biology. Here we used single-cell transcriptomics, fate assays and a theory that allows the prediction of cell fates from population snapshots to demonstrate that mouse haematopoietic progenitors differentiate through a continuous, hierarchical structure into seven blood lineages. We uncovered coupling between the erythroid and the basophil or mast cell fates, a global haematopoietic response to erythroid stress and novel growth factor receptors that regulate erythropoiesis. We defined a flow cytometry sorting strategy to purify early stages of erythroid differentiation, completely isolating classically defined burst-forming and colony-forming progenitors. We also found that the cell cycle is progressively remodelled during erythroid development and during a sharp transcriptional switch that ends the colony-forming progenitor stage and activates terminal differentiation. Our work showcases the utility of linking transcriptomic data to predictive fate models, and provides insights into lineage development in vivo.


bioRxiv | 2018

Emergence of the erythroid lineage from multipotent hematopoiesis

Betsabeh Khoramian Tusi; Samuel L. Wolock; Caleb Weinreb; Yung Hwang; Daniel Hidalgo; Rapolas Zilionis; Ari Waisman; Jun Huh; Allon M. Klein; Merav Socolovsky

Red cell formation begins with the hematopoietic stem cell, but the manner by which it gives rise to erythroid progenitors, and their subsequent developmental path, remain unclear. Here we combined single-cell transcriptomics of murine hematopoietic tissues with fate potential assays to infer a continuous yet hierarchical structure for the hematopoietic network. We define the erythroid differentiation trajectory as it emerges from multipotency and diverges from 6 other blood lineages. With the aid of a new flow-cytometric sorting strategy, we validated predicted cell fate potentials at the single cell level, revealing a coupling between erythroid and basophil/mast cell fates. We uncovered novel growth factor receptor regulators of the erythroid trajectory, including the proinflammatory IL-17RA, found to be a strong erythroid stimulator; and identified a global hematopoietic response to stress erythropoiesis. We further identified transcriptional and high-purity FACS gates for the complete isolation of all classically-defined erythroid burst-forming (BFU-e) and colony-forming progenitors (CFU-e), finding that they express a dedicated transcriptional program, distinct from that of terminally-differentiating erythroblasts. Intriguingly, profound remodeling of the cell cycle is intimately entwined with CFU-e developmental progression and with a sharp transcriptional switch that extinguishes the CFU-e stage and activates terminal differentiation. Underlying these results, our work showcases the utility of theoretic approaches linking transcriptomic data to predictive fate models, providing key insights into lineage development in vivo.


Journal of Visualized Experiments | 2011

Identification and Analysis of Mouse Erythroid Progenitors using the CD71/TER119 Flow-cytometric Assay

Miroslav Koulnis; Ramona Pop; Ermelinda Porpiglia; Jeffrey R. Shearstone; Daniel Hidalgo; Merav Socolovsky


Blood | 2012

Contrasting dynamic responses in vivo of the Bcl-xL and Bim erythropoietic survival pathways

Miroslav Koulnis; Ermelinda Porpiglia; P. Alberto Porpiglia; Ying Liu; Kelly N. Hallstrom; Daniel Hidalgo; Merav Socolovsky


Advances in Experimental Medicine and Biology | 2014

Erythropoiesis: From Molecular Pathways to System Properties

Miroslav Koulnis; Ermelinda Porpiglia; Daniel Hidalgo; Merav Socolovsky


Experimental Hematology | 2017

Global increase in replication fork speed during a p57KIP2-regulated erythroid cell fate switch

Yung Hwang; Melinda Futran; Daniel Hidalgo; Ramona Pop; Divya Ramalingam Iyer; Ralph Scully; Nicholas Rhind; Merav Socolovsky


Blood | 2016

Reconstructing Early Erythroid Development In Vivo Using Single-Cell Transcriptomics

Betsabeh Khoramian Tusi; Samuel L. Wolock; Caleb Weinreb; Yung Hwang; Daniel Hidalgo; Allon M. Klein; Merav Socolovsky


Structure | 2018

A Hyperthermophilic Phage Decoration Protein Suggests Common Evolutionary Origin with Herpesvirus Triplex Proteins and an Anti-CRISPR Protein.

Nicholas P. Stone; Brendan J. Hilbert; Daniel Hidalgo; Kevin T. Halloran; Jooyoung Lee; Erik J. Sontheimer; Brian A. Kelch


Blood | 2016

Global Increase in Replication Fork Speed during a p57 KIP2 -Regulated Erythroid Cell Fate Switch

Yung Hwang; Melinda Futran; Daniel Hidalgo; Divya Ramalingam Iyer; Nicholas Rhind; Merav Socolovsky

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Merav Socolovsky

University of Massachusetts Medical School

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Yung Hwang

University of Massachusetts Medical School

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Ermelinda Porpiglia

University of Massachusetts Medical School

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Betsabeh Khoramian Tusi

University of Massachusetts Medical School

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Miroslav Koulnis

University of Massachusetts Medical School

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Ramona Pop

University of Massachusetts Medical School

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Divya Ramalingam Iyer

University of Massachusetts Medical School

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