Exploring the feasibility of a single-protoplast proteomic analysis DOI Creative Commons
Hung M. Vu, Ju Yeon Lee, Yong‐Min Kim

et al.

Journal of Analytical Science & Technology, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 31, 2024

Abstract Background Recent advances in high-resolution mass spectrometry have now enabled the study of proteomes at single-cell level, offering potential to unveil novel aspects cellular processes. Remarkably, there has been no prior attempt investigate single-plant cell proteomes. In this study, we aimed explore feasibility conducting a proteomic analysis on individual protoplasts. Findings As result, our identified 978 proteins from 180 protoplasts, aligning with well-known biological processes plant leaves, such as photosynthetic electron transport photosystem II. Employing SCP package SCoPE2 workflow revealed notable batch effect and extensive missing values data. Following correction, observed heterogeneity single-protoplast proteome expression. Comparing results proteomics those bulk leaf proteomics, noted that only small fraction data was detected data, highlighting technical limitation current method. Conclusions summary, demonstrated experiment, revealing This underscores importance analyzing substantial number cells discern statistically significant changes upon perturbation abscisic acid treatment future studies. We anticipate will contribute advancing near future.

Language: Английский

Deciphering seed development and germination in the single-cell era DOI Creative Commons
Paul Schouveiler, Lim Chee Liew, Massimiliano Corso

et al.

Seed Science Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: March 3, 2025

Abstract Seeds are complex structures that serve as dispersal units in angiosperms. consist of three specialized tissues with distinct roles and molecular compositions. Hence, the characterization genetic regulators act within individual seed tissues, how their activity changes during development germination, has been a primary focus research. However, our knowledge spatiotemporal modulation seeds, across different cell types, limited by resolution available techniques. In last few years, application single-cell technologies plants have enabled elucidation gene networks involved various developmental processes at cellular level. Some studies applied these to enabling further germination Here, we review current status seeds present workflow for conducting transcriptomics. Additionally, discuss integration multi-omics, aiming demonstrate potential enhancing comprehension regulations governing germination.

Language: Английский

Citations

0

Pleiotropy, a feature or a bug? Toward co-ordinating plant growth, development, and environmental responses through engineering plant hormone signaling DOI Creative Commons
Deisiany Ferreira Neres, R Clay Wright

Current Opinion in Biotechnology, Journal Year: 2024, Volume and Issue: 88, P. 103151 - 103151

Published: May 31, 2024

The advent of gene editing technologies such as CRISPR has simplified co-ordinating trait development. However, identifying candidate genes remains a challenge due to complex networks and pathways. These exhibit pleiotropy, complicating the determination specific pathway functions. In this review, we explore how systems biology single-cell sequencing can aid in for specifics plant growth development within temporal tissue contexts. Exploring sequence-function space these modules with synthetic allows us test hypotheses define genotype-phenotype relationships through reductionist approaches. Collectively, techniques hold potential advance breeding genetic engineering strategies while also addressing diversity issues critical adaptation

Language: Английский

Citations

2

The current economics and throughput of single cell proteomics by liquid chromatography mass spectrometry DOI Creative Commons
Amanda L. Smythers, Benjamin C. Orsburn

Published: June 11, 2024

Single cell proteomics by mass spectrometry (SCP) is an emerging field of study that has captured the interest and imagination biologists in a wide array disciplines. In pursuit this new dizzying technologies techniques have demonstrated ability to quantify hundreds few thousand proteins single mammalian cells typical size. One striking characteristic these methods range relative costs associated with analysis each cell. We attempted estimate cost per across 17 different studies based on quotes we obtained for hardware, reagents instrument support plans relation number can be analyzed day. Before including labor or facilities, find analyze size from less than <$2 over $50 The increase appears directly related decrease throughput as measured theoretical maximum Perhaps most surprising observation average year. This when compared emergence RNA sequencing where increased, cost/cell decreased exponentially first 7 years field’s emergence. While made many assumptions obtain estimates, hope will informative scientists interested obtaining SCP data spectrometrists who are considering entering field. provided spreadsheet simple calculator supplemental allow others adjust our calculations other variables which inevitably described future.

Language: Английский

Citations

2

Exploring the feasibility of a single-protoplast proteomic analysis DOI Creative Commons
Hung M. Vu, Ju Yeon Lee, Yong‐Min Kim

et al.

Journal of Analytical Science & Technology, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 31, 2024

Abstract Background Recent advances in high-resolution mass spectrometry have now enabled the study of proteomes at single-cell level, offering potential to unveil novel aspects cellular processes. Remarkably, there has been no prior attempt investigate single-plant cell proteomes. In this study, we aimed explore feasibility conducting a proteomic analysis on individual protoplasts. Findings As result, our identified 978 proteins from 180 protoplasts, aligning with well-known biological processes plant leaves, such as photosynthetic electron transport photosystem II. Employing SCP package SCoPE2 workflow revealed notable batch effect and extensive missing values data. Following correction, observed heterogeneity single-protoplast proteome expression. Comparing results proteomics those bulk leaf proteomics, noted that only small fraction data was detected data, highlighting technical limitation current method. Conclusions summary, demonstrated experiment, revealing This underscores importance analyzing substantial number cells discern statistically significant changes upon perturbation abscisic acid treatment future studies. We anticipate will contribute advancing near future.

Language: Английский

Citations

1