Stress-induced premature senescence in high five cell cultures: a principal factor in cell-density effects.

Rui Min, Dahe Zhang, Mingzhe He, Jingyuan Chen, Xiaoping Yi, Yingping Zhuang

Abstract read

In one paragraph

Article in Bioresources and bioprocessing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rui MinState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), 130 Meilong Rd, Shanghai, 200237, China.

Dahe ZhangWomei Biology Company, Limited, Suzhou, China.

Mingzhe HeWomei Biology Company, Limited, Suzhou, China.

Jingyuan ChenState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), 130 Meilong Rd, Shanghai, 200237, China.

Xiaoping YiState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), 130 Meilong Rd, Shanghai, 200237, China. xpyi@ecust.edu.cn.

Yingping ZhuangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), 130 Meilong Rd, Shanghai, 200237, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Baculovirus Expression Vector System (BEVS) is highly valued in vaccine development, protein engineering, and drug metabolism research due to its biosafety, operational convenience, rapid scalability, and capacity for self-assembling virus-like particles. However, increasing cell density at the time of inoculation severely compromises the production capacity of BEVS, resulting in the "cell density effect". This study aimed to explore the mechanisms of the cell density effect through time-series analysis of transcriptomes and proteomes, with the goal of overcoming or alleviating the decline in productivity caused by increased cell density. The dynamic analysis of the omics of High Five cells under different CCI (cell density at infection) conditions showed that the impact of the "cell density effect" increased over time, particularly affecting genetic information processing, error repair, protein expression regulation, and material energy metabolism. Omics analysis of the growth stage of High Five cells showed that after 36 h of culture (cell density of about 1 × 10

Indexed as

Cell density effectMitochondrial dysfunctionProteomeStress-induced premature senescenceTime-series analysisTranscriptome

Identifiers

PMID39585490

DOI10.1186/s40643-024-00824-x

PMCPMC11589019

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.