Evidence map›Paper›PMID 34115361›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Profiling Autoantibody Responses to Devise Novel Diagnostic and Prognostic Markers Using High-Density Protein Microarrays.

Shabarni Gupta, Arghya Banerjee, Parvez Syed, Sanjeeva Srivastava

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Article in Methods in molecular biology (Clifton, N.J.), 2021. 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
1.0field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

4 authors at 2 institutions in 2 countries.

Shabarni GuptaDepartment of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, North Ryde, NSW, Australia.
Arghya BanerjeeDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Parvez SyedInme Oy, Turku, Finland.
Sanjeeva SrivastavaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India. sanjeeva@iitb.ac.in.
Indian Institute of Technology Bombay · INMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein microarrays are a diverse and high-throughput platform for screening biomolecular interactions, autoantigens, and protein expression profiles across tissues, etc. Autoantibodies produced against aberrant protein expression are often observed in malignancies which makes protein microarrays a powerful platform to elucidate biomarkers of translational interest. Early diagnosis of malignancies is an enduring clinical problem that has a direct impact on disease prognosis. Here, we provide an overview of a method employed to screen autoantibodies using patient sera in brain tumors. In case of brain malignancies, early diagnosis is particularly challenging and often requires highly invasive brain biopsies as a confirmatory test. This chapter summarizes the various considerations for applying a serum-based autoantibody biomarker discovery pipeline that could provide a minimally invasive initial diagnostic screen, potentiating classical diagnostic approaches.

Indexed as

High-Throughput Screening AssaysProtein Array AnalysisAutoantibodiesBiomarkers, TumorBrain NeoplasmsHumansPrognosisAutoantibodiesBiomarkers, TumorAutoantibodyBiomarker screeningBrain tumorsDiagnosisGliomasPrognosisProtein microarrays

Identifiers

PMID34115361
OpenAlexW3172796637

What OpenQuestion holds

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Registered trials

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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.