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Orr Ashenberg

Bio: Orr Ashenberg is an academic researcher from Broad Institute. The author has contributed to research in topics: Biology & Immune system. The author has an hindex of 28, co-authored 48 publications receiving 3568 citations. Previous affiliations of Orr Ashenberg include Massachusetts Institute of Technology & Fred Hutchinson Cancer Research Center.


Papers
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Journal ArticleDOI
01 Nov 2018-Cell
TL;DR: A resistance program expressed by malignant cells that is associated with T cell exclusion and immune evasion is identified, and this study provides a high-resolution landscape of ICI-resistant cell states, identifies clinically predictive signatures, and suggests new therapeutic strategies to overcome immunotherapy resistance.

794 citations

Journal ArticleDOI
13 Jun 2019-Cell
TL;DR: The data suggest that tissue stroma responds to malignant cells by disadvantaging normal parenchymal cells, and provides a comprehensive bone marrow cell census and experimental support for cancer cell crosstalk with specific stromal elements to impair normal tissue function and thereby enable emergent cancer.

532 citations

Journal ArticleDOI
13 Jun 2008-Cell
TL;DR: The results shed light on the basis of molecular discrimination in two-component signaling pathways, provide a general approach for the rational rewiring of these pathways, and suggest that analyses of coevolution may facilitate the reprogramming of other signaling systems and protein-protein interactions.

480 citations

Journal ArticleDOI
Toni Delorey1, Carly G. K. Ziegler, Graham Heimberg1, Rachelly Normand, Yiming Yang2, Yiming Yang1, Asa Segerstolpe1, Domenic Abbondanza1, Stephen J. Fleming1, Ayshwarya Subramanian1, Daniel T. Montoro1, Karthik A. Jagadeesh1, Kushal K. Dey2, Pritha Sen, Michal Slyper1, Yered Pita-Juárez, Devan Phillips1, Jana Biermann3, Zohar Bloom-Ackermann1, Nikolaos Barkas1, Andrea Ganna4, Andrea Ganna2, James Gomez1, Johannes C. Melms3, Igor Katsyv3, Erica Normandin2, Erica Normandin1, Pourya Naderi2, Pourya Naderi5, Yury Popov2, Yury Popov5, Siddharth S. Raju1, Siddharth S. Raju2, Sebastian Niezen5, Sebastian Niezen2, Linus T.-Y. Tsai, Katherine J. Siddle1, Katherine J. Siddle2, Malika Sud1, Victoria M. Tran1, Shamsudheen K. Vellarikkal6, Shamsudheen K. Vellarikkal1, Yiping Wang3, Liat Amir-Zilberstein1, Deepak Atri6, Deepak Atri1, Joseph M. Beechem7, Olga R. Brook5, Jonathan H. Chen1, Jonathan H. Chen2, Prajan Divakar7, Phylicia Dorceus1, Jesse M. Engreitz8, Jesse M. Engreitz1, Adam Essene5, Donna M. Fitzgerald2, Robin Fropf7, Steven Gazal9, Joshua Gould1, John Grzyb6, Tyler Harvey1, Jonathan L. Hecht5, Jonathan L. Hecht2, Tyler Hether7, Judit Jané-Valbuena1, Michael Leney-Greene1, Hui Ma1, Hui Ma2, Cristin McCabe1, Daniel E. McLoughlin2, Eric M. Miller7, Christoph Muus1, Christoph Muus2, Mari Niemi4, Robert F. Padera6, Robert F. Padera2, Robert F. Padera10, Liuliu Pan7, Deepti Pant5, Carmel Pe’er1, Jenna Pfiffner-Borges1, Christopher J. Pinto2, Jacob Plaisted6, Jason Reeves7, Marty Ross7, Melissa Rudy1, Erroll H. Rueckert7, Michelle Siciliano6, Alexander Sturm1, Ellen Todres1, Avinash Waghray2, Sarah Warren7, Shuting Zhang1, Daniel R. Zollinger7, Lisa A. Cosimi6, Rajat M. Gupta1, Rajat M. Gupta6, Nir Hacohen2, Nir Hacohen1, Hanina Hibshoosh3, Winston Hide, Alkes L. Price2, Jayaraj Rajagopal2, Purushothama Rao Tata11, Stefan Riedel5, Stefan Riedel2, Gyongyi Szabo5, Gyongyi Szabo1, Gyongyi Szabo2, Timothy L. Tickle1, Patrick T. Ellinor1, Deborah T. Hung1, Deborah T. Hung2, Pardis C. Sabeti, Richard M. Novak12, Robert S. Rogers5, Robert S. Rogers2, Donald E. Ingber13, Donald E. Ingber2, Donald E. Ingber12, Z. Gordon Jiang2, Z. Gordon Jiang5, Dejan Juric2, Mehrtash Babadi1, Samouil L. Farhi1, Benjamin Izar, James R. Stone2, Ioannis S. Vlachos, Isaac H. Solomon6, Orr Ashenberg1, Caroline B. M. Porter1, Bo Li1, Bo Li2, Alex K. Shalek, Alexandra-Chloé Villani, Orit Rozenblatt-Rosen1, Orit Rozenblatt-Rosen14, Aviv Regev 
29 Apr 2021-Nature
TL;DR: In this article, single-cell analysis of lung, heart, kidney and liver autopsy samples shows the molecular and cellular changes and immune response resulting from severe SARS-CoV-2 infection.
Abstract: COVID-19, which is caused by SARS-CoV-2, can result in acute respiratory distress syndrome and multiple organ failure1–4, but little is known about its pathophysiology. Here we generated single-cell atlases of 24 lung, 16 kidney, 16 liver and 19 heart autopsy tissue samples and spatial atlases of 14 lung samples from donors who died of COVID-19. Integrated computational analysis uncovered substantial remodelling in the lung epithelial, immune and stromal compartments, with evidence of multiple paths of failed tissue regeneration, including defective alveolar type 2 differentiation and expansion of fibroblasts and putative TP63+ intrapulmonary basal-like progenitor cells. Viral RNAs were enriched in mononuclear phagocytic and endothelial lung cells, which induced specific host programs. Spatial analysis in lung distinguished inflammatory host responses in lung regions with and without viral RNA. Analysis of the other tissue atlases showed transcriptional alterations in multiple cell types in heart tissue from donors with COVID-19, and mapped cell types and genes implicated with disease severity based on COVID-19 genome-wide association studies. Our foundational dataset elucidates the biological effect of severe SARS-CoV-2 infection across the body, a key step towards new treatments. Single-cell analysis of lung, heart, kidney and liver autopsy samples shows the molecular and cellular changes and immune response resulting from severe COVID-19 infection.

380 citations

Journal ArticleDOI
09 Oct 2019-Nature
TL;DR: A shift in the haemopoietic composition of fetal liver during gestation away from being predominantly erythroid, accompanied by a parallel change in differentiation potential of HSC/MPPs is demonstrated, which is validated to produce an integrated map of fetal liver haematopoiesis.
Abstract: Definitive haematopoiesis in the fetal liver supports self-renewal and differentiation of haematopoietic stem cells/multipotent progenitors (HSC/MPPs) but remains poorly defined in humans. Using single cell transcriptome profiling of ~140,000 liver and ~74,000 skin, kidney and yolk sac cells, we identify the repertoire of human blood and immune cells during development. We infer differentiation trajectories from HSC/MPPs and evaluate the impact of tissue microenvironment on blood and immune cell development. We reveal physiological erythropoiesis in fetal skin and the presence of mast cells, NK and ILC precursors in the yolk sac. We demonstrate a shift in fetal liver haematopoietic composition during gestation away from being erythroid-predominant, accompanied by a parallel change in HSC/MPP differentiation potential, which we functionally validate. Our integrated map of fetal liver haematopoiesis provides a blueprint for the study of paediatric blood and immune disorders, and a valuable reference for harnessing the therapeutic potential of HSC/MPPs.

356 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

01 Jan 2020
TL;DR: Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future.
Abstract: Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

4,408 citations

Journal ArticleDOI
TL;DR: In this paper, the expression of viral entry-associated genes in single-cell RNA-sequencing data from multiple tissues from healthy human donors was investigated, and co-detected these transcripts in specific respiratory, corneal and intestinal epithelial cells, potentially explaining the high efficiency of SARS-CoV-2 transmission.
Abstract: We investigated SARS-CoV-2 potential tropism by surveying expression of viral entry-associated genes in single-cell RNA-sequencing data from multiple tissues from healthy human donors. We co-detected these transcripts in specific respiratory, corneal and intestinal epithelial cells, potentially explaining the high efficiency of SARS-CoV-2 transmission. These genes are co-expressed in nasal epithelial cells with genes involved in innate immunity, highlighting the cells' potential role in initial viral infection, spread and clearance. The study offers a useful resource for further lines of inquiry with valuable clinical samples from COVID-19 patients and we provide our data in a comprehensive, open and user-friendly fashion at www.covid19cellatlas.org.

2,024 citations

DOI
01 Jan 2020

1,967 citations

Journal ArticleDOI
TL;DR: The hallmarks of cancer conceptualization is a heuristic tool for distilling the vast complexity of cancer phenotypes and genotypes into a provisional set of underlying principles as mentioned in this paper , which are used to understand mechanisms of cancer development and malignant progression, and apply that knowledge to cancer medicine.
Abstract: The hallmarks of cancer conceptualization is a heuristic tool for distilling the vast complexity of cancer phenotypes and genotypes into a provisional set of underlying principles. As knowledge of cancer mechanisms has progressed, other facets of the disease have emerged as potential refinements. Herein, the prospect is raised that phenotypic plasticity and disrupted differentiation is a discrete hallmark capability, and that nonmutational epigenetic reprogramming and polymorphic microbiomes both constitute distinctive enabling characteristics that facilitate the acquisition of hallmark capabilities. Additionally, senescent cells, of varying origins, may be added to the roster of functionally important cell types in the tumor microenvironment. SIGNIFICANCE: Cancer is daunting in the breadth and scope of its diversity, spanning genetics, cell and tissue biology, pathology, and response to therapy. Ever more powerful experimental and computational tools and technologies are providing an avalanche of "big data" about the myriad manifestations of the diseases that cancer encompasses. The integrative concept embodied in the hallmarks of cancer is helping to distill this complexity into an increasingly logical science, and the provisional new dimensions presented in this perspective may add value to that endeavor, to more fully understand mechanisms of cancer development and malignant progression, and apply that knowledge to cancer medicine.

1,838 citations