2021
DOI: 10.3389/fbinf.2021.777299
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Intracellular and Intercellular Gene Regulatory Network Inference From Time-Course Individual RNA-Seq

Abstract: Gene regulatory network (GRN) inference is an effective approach to understand the molecular mechanisms underlying biological events. Generally, GRN inference mainly targets intracellular regulatory relationships such as transcription factors and their associated targets. In multicellular organisms, there are both intracellular and intercellular regulatory mechanisms. Thus, we hypothesize that GRNs inferred from time-course individual (whole embryo) RNA-Seq during development can reveal intercellular regulator… Show more

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Cited by 7 publications
(2 citation statements)
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“…RNA-seq was conducted according to the Lasy-Seq ver. 1.1 protocol ( https://sites.google.com/view/lasy-seq/ ) ( Kamitani et al, 2019 ; Kashima et al, 2021 ). Briefly, 18 ng of total RNA was reverse-transcribed with a RT primer and SuperScript IV Reverse Transcriptase (Thermo Fisher Scientific).…”
Section: Methodsmentioning
confidence: 99%
“…RNA-seq was conducted according to the Lasy-Seq ver. 1.1 protocol ( https://sites.google.com/view/lasy-seq/ ) ( Kamitani et al, 2019 ; Kashima et al, 2021 ). Briefly, 18 ng of total RNA was reverse-transcribed with a RT primer and SuperScript IV Reverse Transcriptase (Thermo Fisher Scientific).…”
Section: Methodsmentioning
confidence: 99%
“…The 3′ mRNA‐seq was conducted according to the Lasy‐Seq v1.1 protocol (https://sites.google.com/view/lasy-seq/) (Kamitani et al, 2019; Kashima et al, 2021). Briefly, total RNA was reverse transcribed using an reverse transcription primer with index and SuperScript IV reverse transcriptase (Thermo Fisher Scientific, Waltham, MA, USA).…”
Section: Methodsmentioning
confidence: 99%