کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8646389 1570116 2016 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
ترجمه فارسی عنوان
تجزیه و تحلیل بیان زمان با طول عمر با وضوح بالا از سلول های بنیادی جنینی انسان تحت القاء قلب
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی ژنتیک
چکیده انگلیسی
Cardiac induction of human embryonic stem cells (hESCs) is a process bearing increasing medical relevance, yet it is poorly understood from a developmental biology perspective. Anticipated technological progress in deriving stably expandable cardiac precursor cells or in advancing cardiac subtype specification protocols will likely require deeper insights into this fascinating system. Recent improvements in controlling hESC differentiation now enable a near-homogeneous induction of the cardiac lineage. This is based on an optimized initial stimulation of mesoderm-inducing signaling pathways such as Activin and/or FGF, BMP, and WNT, followed by WNT inhibition as a secondary requirement. Here, we describe a comprehensive data set based on varying hESC differentiation conditions in a systematic manner and recording high-resolution differentiation time-courses analyzed by genome-wide expression profiling (GEO accession number GSE67154). As a baseline, hESCs were differentiated into cardiomyocytes under optimal conditions. Moreover, in additional time-series, individual signaling factors were withdrawn from the initial stimulation cocktail to reveal their specific roles via comparison to the standard condition. Hence, this data set presents a rich resource for hypothesis generation in studying human cardiac induction, as we reveal numbers of known as well as uncharacterized genes prominently marking distinct intermediate stages in the process. These data will also be useful for identifying putative cardiac master regulators in the human system as well as for characterizing expandable cardiac stem cells.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Genomics Data - Volume 10, December 2016, Pages 71-74
نویسندگان
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