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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dataset for Understanding PBCV-1 Influence on Chlorella Lipid Metabolism and Biofuel Potential

Authors: Lopez, Amanda; Choi, Yoonjung; Zhou, Zhi;

Dataset for Understanding PBCV-1 Influence on Chlorella Lipid Metabolism and Biofuel Potential

Abstract

The cell area (mm2), TAGs, and chlorophyll intensities (arbitrary fluorescence units (AFU)) to describe dynamic cellular responses of Chlorella to PBCV-1 infection. To understand how cells respond to PBCV-1 infection, six algal samples (three infected with PBCV-1 and three uninfected controls) were collected at 0, 2, 6, 12, 18, and 24 hours post-infection for high-resolution epifluorescence microscopy. Neutral lipids were stained with BODIPY® 505/515 and DAPI was used to define nuclear contours. Images were captured on a Nikon Eclipse Ni-U microscope with fixed exposure times across DAPI, BODIPY, and chlorophyll channels to ensure consistent comparisons of fluorescence intensities. The cell ID corresponds to individual cells analyzed, where each unique identifier represents a single cell (Cell ID 1 = one cell, Cell ID 2 = another cell, and so on). The data for the uninfected controls (positive controls) at T0 are available in the Zenodo dataset under Cell IDs 1-122. For internal validation of fluorescence signals, Escherichia coli was strategically included as a negative control, leveraging its inherent lack of both TAGs and chlorophyll, thus providing a clear baseline for background fluorescence. The data for the negative control are available in the dataset under Cell IDs 3420-4050. 

Related Organizations
Keywords

biofuel; Chlorella; unsupervised machine learning; single-cell; lipids; viral infection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average