Dataset for investigating triacylglycerol accumulation in PBCV-1 infected Chlorella

<i>Chlorella</i> is a promising biofuel source due to its high lipid accumulation, rapid growth, and suitability for inland cultivation. However, how the <i>Paramecium bursaria Chlorella</i> virus 1 (PBCV-1) influences its triacylglycerol (TAG) accumulation remains underexplored. This data article provides a detailed description of the dataset generated to investigate TAG accumulation profiles in <i>Chlorella</i> infected with PBCV-1. The data, collected via high-resolution epifluorescence microscopy of over 4000 single cells across a full lytic cycle, includes measurements of TAG accumulation, chlorophyll fluorescence, and nuclear morphology, along with extracellular nutrient concentrations to rule out nutrient stress as a confounding factor. This dataset can be reused by researchers to develop new image analysis algorithms, train machine learning models, investigate virus-host interactions, and inform the development of more cost-effective biofuel production strategies.

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Publication Details

Journal
Data in Brief
Published
2025-10-28
DOI
https://doi.org/10.1016/j.dib.2025.112220
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
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article

Dataset for investigating triacylglycerol accumulation in PBCV-1 infected Chlorella

Zhi Zhou, Ana Isabel García López, Y. Choi
Data in Brief
Viral Infections and Immunology Research
article

Dataset for investigating triacylglycerol accumulation in PBCV-1 infected Chlorella

Zhi Zhou, Ana Isabel García López, Y. Choi
article en

Abstract

<i>Chlorella</i> is a promising biofuel source due to its high lipid accumulation, rapid growth, and suitability for inland cultivation. However, how the <i>Paramecium bursaria Chlorella</i> virus 1 (PBCV-1) influences its triacylglycerol (TAG) accumulation remains underexplored. This data article provides a detailed description of the dataset generated to investigate TAG accumulation profiles in <i>Chlorella</i> infected with PBCV-1. The data, collected via high-resolution epifluorescence microscopy of over 4000 single cells across a full lytic cycle, includes measurements of TAG accumulation, chlorophyll fluorescence, and nuclear morphology, along with extracellular nutrient concentrations to rule out nutrient stress as a confounding factor. This dataset can be reused by researchers to develop new image analysis algorithms, train machine learning models, investigate virus-host interactions, and inform the development of more cost-effective biofuel production strategies.

Data in BriefVol. 63
Purdue University West Lafayette (US)
Openalex Percentile: Top 53%
Viral Infections and Immunology Research
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