Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Derek Reiman"'
Autor:
Derek Reiman, Godhev Kumar Manakkat Vijay, Heping Xu, Andrew Sonin, Dianyu Chen, Nathan Salomonis, Harinder Singh, Aly A Khan
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 5, p e1008094 (2021)
Single cell RNA sequencing (scRNAseq) can be used to infer a temporal ordering of cellular states. Current methods for the inference of cellular trajectories rely on unbiased dimensionality reduction techniques. However, such biologically agnostic or
Externí odkaz:
https://doaj.org/article/4d4b486c110d4e0fa8b74d5347207dc6
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 5, p e1009021 (2021)
The advance in microbiome and metabolome studies has generated rich omics data revealing the involvement of the microbial community in host disease pathogenesis through interactions with their host at a metabolic level. However, the computational too
Externí odkaz:
https://doaj.org/article/686100387158412f8ba63e45a3c1897e
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006693 (2019)
Food allergy is usually difficult to diagnose in early life, and the inability to diagnose patients with atopic diseases at an early age may lead to severe complications. Numerous studies have suggested an association between the infant gut microbiom
Externí odkaz:
https://doaj.org/article/1b29ac9d04dd4f01bb3d770698e083d2
Autor:
Ariel J. Dotts, Derek Reiman, Ping Yin, Stacy Kujawa, William A. Grobman, Yang Dai, Serdar E. Bulun
Publikováno v:
Reproductive Sciences. 30:544-559
The alterations in myometrial biology during labor are not well understood. The myometrium is the contractile portion of the uterus and contributes to labor, a process that may be regulated by the steroid hormone progesterone. Thus, human myometrial
Pregnancy is a dynamic state with multiple metabolic changes occurring including insulin resistance. Gestational diabetes mellitus (GDM), a form of diabetes that appears during pregnancy, develops if metabolic aberrations occur, in particular, in nor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd4a5bf5bf02a060f8cad41f7e5ad44a
Microbiota-dependent proteolysis of gluten subverts diet-mediated protection against type 1 diabetes
Autor:
Matthew C. Funsten, Leonid A. Yurkovetskiy, Andrey Kuznetsov, Derek Reiman, Camilla H.F. Hansen, Katharine I. Senter, Jean Lee, Jeremy Ratiu, Shiva Dahal-Koirala, Dionysios A. Antonopoulos, Gary M. Dunny, Ludvig M. Sollid, David Serreze, Aly A. Khan, Alexander V. Chervonsky
Publikováno v:
Cell Host & Microbe. 31:213-227.e9
Diet and commensals can affect the development of autoimmune diseases like type 1 diabetes (T1D). However, whether dietary interventions are microbe-mediated was unclear. We found that a diet based on hydrolyzed casein (HC) as a protein source protec
Publikováno v:
BHI
The concurrent profiles of the gut microbiome and metabolome can be used in the diagnosis of complex diseases. However, the establishment of robust predictive models is challenging due to the high dimensionality of data and complex interactions among
Autor:
Wasim Khan, Pauline M. Maki, Barton Wicksteed, Anukriti Sharma, Brian T. Layden, Kai Xu, George E. Chlipala, Christopher R. Manzella, Beatriz Penalver Bernabe, Yang Dai, Kristen Lednovich, Ravinder K. Gill, Guadalupe Navarro, Jack A. Gilbert, Barbara Sanzyal, Medha Priyadarshini, Derek Reiman
Background and aimsNormal gestation involves reprogramming of maternal gut microbiome (GM) that may contribute to maternal metabolic changes by unclear mechanisms. This study aimed to understand the mechanistic underpinnings of GM – maternal metabo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a208c3a4d648dbcb475c35b96779038
https://doi.org/10.1101/2021.07.21.453234
https://doi.org/10.1101/2021.07.21.453234
The advance in microbiome and metabolome studies has generated rich omics data revealing the involvement of the microbial community in host disease pathogenesis through interactions with their host at a metabolic level. However, the computational too
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3436dbb8c5520286455d063d6b2f370a
https://doi.org/10.1101/2020.12.15.422873
https://doi.org/10.1101/2020.12.15.422873
Autor:
Francisca Rojas Ringeling, Shounak Chakraborty, Caroline Vissers, Derek Reiman, Akshay M. Patel, Ki-Heon Lee, Ari Hong, Chan-Woo Park, Tim Reska, Julien Gagneur, Hyeshik Chang, Maria L. Spletter, Ki-Jun Yoon, Guo-li Ming, Hongjun Song, Stefan Canzar
Publikováno v:
Nature biotechnology. 40(5)
The accuracy of methods for assembling transcripts from short-read RNA sequencing data is limited by the lack of long-range information. Here we introduce Ladder-seq, an approach that separates transcripts according to their lengths before sequencing