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     data   graph     files  public [T. pseudonana starve-recover experiments: Cell information] - Diatom (Thalassiosira
pseudonana) cell information from experiments designed to study single-cell transcriptional
profiling of nutrient acquisition heterogeneity in diatoms conducted in December of
2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution)
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.918860.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/918860 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL summary String This dataset includes cell information for diatom Thalassiosira pseudonana grown during experiments conducted as part of a study of "Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms." See "Related Datasets" section for T. pseudonana physiological data and gene information collected as part of the same study and experiments.


Study description:

Diatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans.


Diatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general.


In this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages. In the first stage ("starvation"), six samples were collected over four days of culture as nutrient levels decreased. In the second stage ("recovery"), four samples were collected over twelve hours after nutrients were replenished.
attribute NC_GLOBAL title String [T. pseudonana starve-recover experiments: Cell information] - Diatom (Thalassiosira pseudonana) cell information from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution)
variable stage   String  
attribute stage long_name String Stage
attribute stage units String unitless
variable cell_barcode   String  
attribute cell_barcode long_name String Cell_barcode
attribute cell_barcode units String unitless
variable sample   String  
attribute sample long_name String Sample
attribute sample units String unitless
variable n_genes   int  
attribute n_genes actual_range int 55, 2333
attribute n_genes long_name String N_genes
attribute n_genes units String unitless
variable n_counts   int  
attribute n_counts actual_range int 87, 6197
attribute n_counts long_name String N_counts
attribute n_counts units String unitless
variable cluster   String  
attribute cluster long_name String Cluster
attribute cluster units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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