MorphoSeq揭秘脊索動物單個胚胎空間組織
作者:
小柯機器人發布時間:2020/4/22 15:14:34
德國歐洲分子生物學實驗室Pierre A. Neveu和Lars Hufnagel其研究組合作取得新進展。他們利用MorphoSeq技術,研究從脊索動物的完整的單細胞轉錄組動力學到原腸胚形成過程。相關論文發表在2020年4月20出版的《細胞》雜誌上。
他們從單細胞RNA測序(scRNA-seq)和光片成像數據重建一個典型的數字胚胎,該胚胎捕獲18個譜系中每個細胞分裂的單細胞全基因組範圍內的基因表達軌跡,直至在海鞘的生殖器中進行消化。
通過使用高覆蓋率的scRNA-seq,他們設計了一種計算框架,該框架無需事先了解即可將單個胚胎的單個細胞分為某種細胞類型。無偏的轉錄組數據分析可繪製每個細胞的物理位置和譜系歷史記錄,從而為發育中的胚胎中的每個單個細胞提供全基因組水平的完整基因表達史。
單個胚胎的比較揭示了對稱胚胎側之間的廣泛再生性和由於胚胎發生時間的微小差異而導致的較大的胚間變異性。
研究人員表示,scRNA-seq使研究細胞多樣性和發育軌跡方面發生了質的飛躍,但不能全面描述單個胚胎的空間組織和精確的細胞組成。
附:英文原文
Title: MorphoSeq: Full Single-Cell Transcriptome Dynamics Up to Gastrulation in a Chordate
Author: Hanna L. Sladitschek, Ulla-Maj Fiuza, Dinko Pavlinic, Vladimir Benes, Lars Hufnagel, Pierre A. Neveu
Issue&Volume: 2020-04-20
Abstract: Single-cell RNA sequencing (scRNA-seq) provides a leap forward in resolving cellular diversity and developmental trajectories but fails to comprehensively delineate the spatial organization and precise cellular makeup of individual embryos. Here, we reconstruct from scRNA-seq and light sheet imaging data a canonical digital embryo that captures the genome-wide gene expression trajectory of every single cell at every cell division in the 18 lineages up to gastrulation in the ascidian Phallusia mammillata. By using high-coverage scRNA-seq, we devise a computational framework that stratifies single cells of individual embryos into cell types without prior knowledge. Unbiased transcriptome data analysis mapped each cell’s physical position and lineage history, yielding the complete history of gene expression at the genome-wide level for every single cell in a developing embryo. A comparison of individual embryos reveals both extensive reproducibility between symmetric embryo sides and a large inter-embryonic variability due to small differences in embryogenesis timing.
DOI: 10.1016/j.cell.2020.03.055
Source: https://www.cell.com/cell/fulltext/S0092-8674(20)30348-2
Cell:《細胞》,創刊於1974年。隸屬於細胞出版社,最新IF:36.216