Germline immunoglobulin genes: disease susceptibility genes hidden in plain sight? [0.03%]
隐匿在免疫球蛋白基因中的易感性遗传因素？
Andrew M Collins,Gur Yaari,Adrian J Shepherd et al.
Andrew M Collins et al.
Immunoglobulin genes are rarely considered as disease susceptibility genes despite their obvious and central contributions to immune function. This appears to be a consequence of historical views on antibody repertoire formation that no lon...
The Microbiome and Big Data [0.03%]
微生态与大数据技术
Jose A Navas-Molina,Embriette R Hyde,Jon Sanders et al.
Jose A Navas-Molina et al.
Microbiome datasets have expanded rapidly in recent years. Advances in DNA sequencing, as well as the rise of shotgun metagenomics and metabolomics, are producing datasets that exceed the ability of researchers to analyze them on their pers...
Benjamin Zoller,Thomas Gregor,Gašper Tkačik
Benjamin Zoller
Models of transcriptional regulation that assume equilibrium binding of transcription factors have been less successful at predicting gene expression from sequence in eukaryotes than in bacteria. This could be due to the non-equilibrium nat...
Engineering cell fate: Applying synthetic biology to cellular reprogramming [0.03%]
工程细胞命运：将合成生物学应用于细胞重编程
Nathan B Wang,Adam M Beitz,Kate E Galloway
Nathan B Wang
Cellular reprogramming drives cells from one stable identity to a new cell fate. By generating a diversity of previously inaccessible cell types from diverse genetic backgrounds, cellular reprogramming is rapidly transforming how we study d...
MECHANISTIC AND DATA-DRIVEN MODELS OF CELL SIGNALING: TOOLS FOR FUNDAMENTAL DISCOVERY AND RATIONAL DESIGN OF THERAPY [0.03%]
细胞信号转导的机制及数据驱动模型：基础发现和理性治疗设计的工具
Paul J Myers,Sung Hyun Lee,Matthew J Lazzara
Paul J Myers
A full understanding of cell signaling processes requires knowledge of protein structure/function relationships, protein-protein interactions, and the abilities of pathways to control phenotypes. Computational models offer a valuable framew...
Computational methods for characterizing and learning from heterogeneous cell signaling data [0.03%]
用于表征和学习异质细胞信号数据的计算方法
Patrick C Kinnunen,Kathryn E Luker,Gary D Luker et al.
Patrick C Kinnunen et al.
Heterogeneity in cell signaling pathways is increasingly appreciated as a fundamental feature of cell biology and a driver of clinically relevant disease phenotypes. Understanding the causes of heterogeneity, the cellular mechanisms used to...
Ashlee N Ford Versypt
Ashlee N Ford Versypt
Multiscale computational modeling aims to connect the complex networks of effects at different length and/or time scales. For example, these networks often include intracellular molecular signaling, crosstalk, and other interactions between...
Compartmentalization of metabolism between cell types in multicellular organisms: a computational perspective [0.03%]
多细胞生物中细胞类型之间代谢隔离的计算视角
Xuhang Li,L Safak Yilmaz,Albertha J M Walhout
Xuhang Li
In multicellular organisms, metabolism is compartmentalized at many levels, including tissues and organs, different cell types, and subcellular compartments. Compartmentalization creates a coordinated homeostatic system where each compartme...
Approaches for completing metabolic networks through metabolite damage and repair discovery [0.03%]
基于代谢物损伤和修复发现完成代谢网络的方法研究
Corey M Griffith,Adhish S Walvekar,Carole L Linster
Corey M Griffith
Metabolites are prone to damage, either via enzymatic side reactions, which collectively form the underground metabolism, or via spontaneous chemical reactions. The resulting non-canonical metabolites that can be toxic, are mended by dedica...
Understanding circadian regulation of mammalian cell function, protein homeostasis, and metabolism [0.03%]
哺乳动物细胞功能、蛋白质稳态和代谢的昼夜调节机制研究进展
Alessandra Stangherlin,Estere Seinkmane,John S O&#x;Neill
Alessandra Stangherlin
Circadian rhythms are ∼24 h cycles of organismal and cellular activity ubiquitous to mammalian physiology. A prevailing paradigm suggests that timing information flows linearly from rhythmic transcription via protein abundance changes to d...