Evidence map›Paper›PMID 37418444›Full record

ArticlePloS one2023

Alkaline-SDS cell lysis of microbes with acetone protein precipitation for proteomic sample preparation in 96-well plate format.

Yan Chen, Jennifer W Gin, Ying Wang, Markus de Raad, Stephen Tan, Nathan J Hillson, Trent R Northen, Paul D Adams, Christopher J Petzold

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  3. Multi-layered metabolic remodeling ofMetabolic engineering communications · 2026
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  7. Proteomic Analysis ofInternational journal of molecular sciences · 2025
    Article
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  11. Article
  12. Article
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  15. Article
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  20. Review
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

9 authors at 1 institution in 1 country.

Yan ChenBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Jennifer W GinBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Ying WangEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Markus de RaadEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID 0000-0001-8263-9198
Stephen TanBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Nathan J HillsonBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Trent R NorthenDOE Joint BioEnergy Institute, Emeryville, California, United States of America.
Paul D AdamsDOE Joint BioEnergy Institute, Emeryville, California, United States of America.
Christopher J PetzoldBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID 0000-0002-8270-5228
Lawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plate-based proteomic sample preparation offers a solution to the large sample throughput demands in the biotechnology field where hundreds or thousands of engineered microbes are constructed for testing is routine. Meanwhile, sample preparation methods that work efficiently on broader microbial groups are desirable for new applications of proteomics in other fields, such as microbial communities. Here, we detail a step-by-step protocol that consists of cell lysis in an alkaline chemical buffer (NaOH/SDS) followed by protein precipitation with high-ionic strength acetone in 96-well format. The protocol works for a broad range of microbes (e.g., Gram-negative bacteria, Gram-positive bacteria, non-filamentous fungi) and the resulting proteins are ready for tryptic digestion for bottom-up quantitative proteomic analysis without the need for desalting column cleanup. The yield of protein using this protocol increases linearly with respect to the amount of starting biomass from 0.5-2.0 OD*mL of cells. By using a bench-top automated liquid dispenser, a cost-effective and environmentally-friendly option to eliminating pipette tips and reducing reagent waste, the protocol takes approximately 30 minutes to extract protein from 96 samples. Tests on mock mixtures showed expected results that the biomass composition structure is in close agreement with the experimental design. Lastly, we applied the protocol for the composition analysis of a synthetic community of environmental isolates grown on two different media. This protocol has been developed to facilitate rapid, low-variance sample preparation of hundreds of samples and allow flexibility for future protocol development.

Indexed as

AcetoneProteomicsIndicators and ReagentsProteinsAcetoneIndicators and ReagentsProteins

Identifiers

PMID37418444
PMCPMC10328223
OpenAlexW4383604497

What OpenQuestion 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 OpenQuestion graph.