A
Allon M. Klein
Researcher at Harvard University
Publications - 99
Citations - 19819
Allon M. Klein is an academic researcher from Harvard University. The author has contributed to research in topics: Stem cell & Cellular differentiation. The author has an hindex of 46, co-authored 90 publications receiving 14422 citations. Previous affiliations of Allon M. Klein include University of Cambridge & University of Massachusetts Amherst.
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Journal ArticleDOI
Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
Allon M. Klein,Linas Mazutis,Linas Mazutis,Ilke Akartuna,Naren Tallapragada,Adrian Veres,Victor C. Li,Leonid Peshkin,David A. Weitz,Marc W. Kirschner +9 more
TL;DR: This work has developed a high-throughput droplet-microfluidic approach for barcoding the RNA from thousands of individual cells for subsequent analysis by next-generation sequencing, which shows a surprisingly low noise profile and is readily adaptable to other sequencing-based assays.
Journal ArticleDOI
Intestinal crypt homeostasis results from neutral competition between symmetrically dividing Lgr5 stem cells
Hugo J. Snippert,Laurens G. van der Flier,Toshiro Sato,Johan H. van Es,Maaike van den Born,Carla Kroon-Veenboer,Nick Barker,Allon M. Klein,Jacco van Rheenen,Benjamin D. Simons,Hans Clevers +10 more
TL;DR: Quantitative analysis shows that stem cell turnover follows a pattern of neutral drift dynamics, consistent with a model in which the resident stem cells double their numbers each day and stochastically adopt stem or TA fates.
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A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.
Maayan Baron,Adrian Veres,Samuel L. Wolock,Aubrey L. Faust,Renaud Gaujoux,Amedeo Vetere,Jennifer Hyoje Ryu,Bridget K. Wagner,Shai S. Shen-Orr,Allon M. Klein,Douglas A. Melton,Itai Yanai +11 more
TL;DR: A droplet-based, single-cell RNA-seq method is implemented to determine the transcriptomes of over 12,000 individual pancreatic cells from four human donors and two mouse strains and provides a resource for the discovery of novel cell type-specific transcription factors, signaling receptors, and medically relevant genes.
Journal ArticleDOI
Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data.
TL;DR: Scrublet avoids the need for expert knowledge or cell clustering by simulating multiplets from the data and building a nearest neighbor classifier, a framework for predicting the impact of multiplets in a given analysis and identifying problematic multiplets.
Journal ArticleDOI
A single type of progenitor cell maintains normal epidermis
Elizabeth Clayton,David P. Doupé,Allon M. Klein,Douglas J. Winton,Benjamin D. Simons,Philip H. Jones +5 more
TL;DR: It is shown that clone-size distributions are consistent with a new model of homeostasis involving only one type of progenitor cell, and the results raise important questions about the potential role of stem cells on tissue maintenance in vivo.