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ABSTRACT: Mixing simulation experiments metatranscriptomes

PROVIDER: PRJNA1221212 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR32288240_1.fastq.gz	Fastqsanger.gz
	SRR32288240_2.fastq.gz	Fastqsanger.gz
	SRR32288241_1.fastq.gz	Fastqsanger.gz
	SRR32288241_2.fastq.gz	Fastqsanger.gz
	SRR32288242_1.fastq.gz	Fastqsanger.gz

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Project description:Mixing simulation experiments metagenomes

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Project description:Marine microbial communities are critical for biogeochemical cycles and the productivity of ocean ecosystems. Primary productivity, at the base of marine food webs, is constrained by nutrient availability in the surface ocean, and nutrient advection from deeper waters can fuel photosynthesis. In this study, we compared the transcriptional responses by surface microbial communities after experimental deep water mixing to the transcriptional patterns of in situ microbial communities collected with high-resolution automated sampling during a bloom in the North Pacific Subtropical Gyre. Transcriptional responses were assayed with the MicroTOOLs (Microbiological Targets for Ocean Observing Laboratories) marine environmental microarray, which targets all three domains of life and viruses. The experiments showed that mixing of deep and surface waters substantially affects the transcription of photosystem and nutrient response genes among photosynthetic taxa within 24 hours, and that there are specific responses associated with the addition of deep water containing particles (organisms and detritus) compared to filtered deep water. In situ gene transcription was most similar to that in surface water experiments with deep water additions, showing that in situ populations were affected by mixing of nutrients at the six sampling sites. Together, these results show the value of targeted metatranscriptomes for assessing the physiological status of complex microbial communities.

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Project description:Organoid technology provides an opportunity to generate brain-like structures by recapitulating developmental steps in the manner of self-organization. We examined the vertical-mixing effect on brain organoid structures using bioreactors and established inverted brain organoids. The organoids generated by vertical mixing showed neurons that migrated from the outer periphery to the inner core of organoids, in contrast to orbital mixing. To uncover the mechanisms of the inverted structure, we investigated the direction of primary cilia, a cellular mechanosensor. Primary cilia of neural progenitors by vertical mixing were aligned in a multidirectional manner, and those by orbital mixing in a bidirectional manner. Single-cell RNA sequencing revealed that neurons of inverted brain organoids presented a GABAergic character of the ventral forebrain.

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2013-06-26 | GSE33779 | GEO

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