ArticleMethods in enzymology2011
Nucleic acid programmable protein array a just-in-time multiplexed protein expression and purification platform.
Article in Methods in enzymology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Serum profiling of the antibody response to HPV in women with or without abnormal cervical cytology undergoing cervical cancer screening.Frontiers in immunology · 2025Article
- Tracking the Antibody Immunome in Sporadic Colorectal Cancer by Using Antigen Self-Assembled Protein Arrays.Cancers · 2021Article
- Discovering Protein-Protein Interactions Using Nucleic Acid Programmable Protein Arrays.Current protocols in cell biology · 2017Article
- Serum Immune Profiling for Early Detection of Cervical Disease.Theranostics · 2017Article
- Proteomic mapping of p53 immunogenicity in pancreatic, ovarian, and breast cancers.Proteomics. Clinical applications · 2016Article
- Article
- Immunoproteomic Profiling of Antiviral Antibodies in New-Onset Type 1 Diabetes Using Protein Arrays.Diabetes · 2016Article
- Antiviral antibody profiling by high-density protein arrays.Proteomics · 2015Article
- High-throughput identification of proteins with AMPylation using self-assembled human protein (NAPPA) microarrays.Nature protocols · 2015Article
- Serum profiling using protein microarrays to identify disease related antigens.Methods in molecular biology (Clifton, N.J.) · 2014Article
- High-throughput screening for native autoantigen-autoantibody complexes using antibody microarrays.Journal of proteome research · 2013Article
- Immunological biomarkers: catalysts for translational advances in autoimmune diabetes.Clinical and experimental immunology · 2013Article
- High density diffusion-free nanowell arrays.Journal of proteome research · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Systematic study of proteins requires the availability of thousands of proteins in functional format. However, traditional recombinant protein expression and purification methods have many drawbacks for such study at the proteome level. We have developed an innovative in situ protein expression and capture system, namely NAPPA (nucleic acid programmable protein array), where C-terminal tagged proteins are expressed using an in vitro expression system and efficiently captured/purified by antitag antibodies coprinted at each spot. The NAPPA technology presented in this chapter enable researchers to produce and display fresh proteins just in time in a multiplexed high-throughput fashion and utilize them for various downstream biochemical researches of interest. This platform could revolutionize the field of functional proteomics with it ability to produce thousands of spatially separated proteins in high density with narrow dynamic rand of protein concentrations, reproducibly and functionally.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.