Evidence map›Paper›PMID 33654961›Full record

ArticleBio-protocol2019

Katrin Hufnagel, Dennis Reininger, Siu Wang Ng, Nadine Gassert, Juliane K Rohland, Soroosh Shahryarhesami, Andrea S Bauer, Tim Waterboer, Jörg D Hoheisel

Open access · bronzeAbstract read
In one paragraph

Article in Bio-protocol, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Cell-Free Production Systems in Droplet Microfluidics.Advances in biochemical engineering/biotechnology · 2023
    Review
  3. Article
  4. Article
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 2 institutions in 1 country.

Katrin HufnagelInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Dennis ReiningerInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Siu Wang NgDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Nadine GassertInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Juliane K RohlandInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Soroosh ShahryarhesamiDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andrea S BauerDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Tim WaterboerInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jörg D HoheiselDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, whole-proteome microarrays for comprehensive studies of protein interactions were mostly produced by individual cloning and cellular expression of very many open reading frames, followed by protein isolation and purification as well as array production. To overcome this cumbersome process, we have developed a method to generate microarrays representing entire proteomes by a combination of multiple spotting and on-chip, cell-free protein expression. Here, we describe the protocol for the production of bacterial protein microarrays. With slight adaptations, however, the procedure can be applied to the proteome of any organism. Expression constructs of each gene are generated by PCR on bacterial genomic DNA followed by a common secondary amplification that is adding relevant regulative elements to either end of the constructs. The unpurified PCR-products are spotted onto the microarray surface. Full-length proteins are directly expressed

Indexed as

Cell-free expressionImmunoprofilingOn-chipProteomicsWhole-proteome microarrays

Identifiers

PMID33654961
PMCPMC7854046
OpenAlexW2914121234

What OpenQuestion holds

Textmetadata
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.