# Dataset for investigating triacylglycerol accumulation in PBCV-1 infected Chlorella

## TL;DR

This paper presents a dataset to study how a virus affects lipid accumulation in Chlorella, a potential biofuel source.

## Contribution

The novelty lies in providing a detailed dataset on TAG accumulation in PBCV-1 infected Chlorella cells.

## Key findings

- The dataset includes TAG accumulation, chlorophyll fluorescence, and nuclear morphology from over 4000 cells.
- Extracellular nutrient concentrations were measured to exclude nutrient stress as a factor.
- The dataset supports machine learning and virus-host interaction studies for biofuel development.

## Abstract

Chlorella is a promising biofuel source due to its high lipid accumulation, rapid growth, and suitability for inland cultivation. However, how the Paramecium bursaria Chlorella 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 Chlorella 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.