Protocol for isolating the single bacteriocyte from whiteflies for single-cell RNA-seq analysis

Bacteriocytes are specialized insect cells adapted to harbor symbionts. However, their low number in individual whiteflies makes obtaining enough for transcriptome sequencing challenging. Here, we present a protocol for the isolation of whitefly bacteriocytes. We describe steps for preparing the single bacteriocyte sample, cDNA amplification library construction, sequencing, and data analysis. Our protocol offers convenience and efficiency for conducting single-cell sequencing for bacteriocytes and has the potential to be applied to other insect cells. For complete details on the use and execution of this protocol, please refer to Li et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-03-01
DOI
https://doi.org/10.1016/j.xpro.2025.103691
Citations
1
Primary Topic
Insect symbiosis and bacterial influences
Type
article
Field-Weighted Citation Impact
1.67
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article

Protocol for isolating the single bacteriocyte from whiteflies for single-cell RNA-seq analysis

Hui Quan, Jun‐Bo Luan, Nana Li
1 citations
STAR Protocols
Insect symbiosis and bacterial influences
1.67
article

Protocol for isolating the single bacteriocyte from whiteflies for single-cell RNA-seq analysis

Hui Quan, Jun‐Bo Luan, Nana Li
article en
1 citations

Abstract

Bacteriocytes are specialized insect cells adapted to harbor symbionts. However, their low number in individual whiteflies makes obtaining enough for transcriptome sequencing challenging. Here, we present a protocol for the isolation of whitefly bacteriocytes. We describe steps for preparing the single bacteriocyte sample, cDNA amplification library construction, sequencing, and data analysis. Our protocol offers convenience and efficiency for conducting single-cell sequencing for bacteriocytes and has the potential to be applied to other insect cells. For complete details on the use and execution of this protocol, please refer to Li et al.<sup>1</sup>.

STAR ProtocolsVol. 6(1)
Shenyang Agricultural University (CN)
Openalex Percentile: Top 21%
Insect symbiosis and bacterial influences
1.67
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