Evidence map›Paper›PMID 36346608›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Bioinformatic Analysis of Natively Paired VH:VL Antibody Repertoires for Antibody Discovery.

Ahmed S Fahad, Bharat Madan, Brandon J DeKosky

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

3 authors at 2 institutions in 1 country.

Ahmed S Fahad *The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
Bharat Madan *The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
Brandon J DeKoskyThe Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA. dekosky@ku.edu.
University of Kansas · USRagon Institute of MGH, MIT and Harvard · US

Funding

Synthetic Chemical Biology CoreP20GM113117 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI HEFTY, P SCOTT · 2016 to 2025
$23.9M
Comprehensive analysis of human adaptive immune receptors to elucidate correlates of Epstein-Barr virus disease suppressionDP5OD023118 · OD · UNIVERSITY OF KANSAS LAWRENCE · PI DEKOSKY, BRANDON JAMES · 2016 to 2022
$2.2M
Comprehensive molecular and functional analyses of anti-HIV-1 broadly neutralizing antibody repertoiresR21AI143407 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI DEKOSKY, BRANDON JAMES, FORREST, MARCUS LAIRD · 2019 to 2020
$435k
Probing antigen specificity and response of autoimmune B cells in Neuromyelitis OpticaR21AI144408 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI DEKOSKY, BRANDON JAMES · 2019 to 2020
$417k
NIAID NIH HHS R21 AI143407NIAID NIH HHS R21 AI144408NIGMS NIH HHS P20 GM113117NIH HHS DP5 OD023118
6 · The paper itself

Abstract

Next-generation DNA sequencing (NGS) of human antibody repertoires has been extensively implemented to discover novel antibody drugs, to analyze B-cell developmental features, and to investigate antibody responses to infectious diseases and vaccination. Because the antibody repertoire encoded by human B cells is highly diverse, NGS analyses of antibody genes have provided a new window into understanding antibody responses for basic immunology, biopharmaceutical drug discovery, and immunotherapy. However, many antibody discovery protocols analyze the heavy and light chains separately due to the short-read nature of most NGS technologies, whereas paired heavy and light chain data are required for complete antibody characterization. Here, we describe a computational workflow to process millions of paired antibody heavy and light chain DNA sequence reads using the Illumina MiSeq 2x300 NGS platform. In this workflow, we describe raw NGS read processing and initial quality filtering, the annotation and assembly of antibody clonotypes relating to paired heavy and light chain antibody lineages, and the generation of complete heavy+light consensus sequences for the downstream cloning and expression of human antibody proteins.

Indexed as

AntibodiesComputational BiologyHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Light ChainsAntibodiesImmunoglobulin Light ChainsAntibody discoveryB cellsBioinformaticsNext-generation sequencing

Identifiers

PMID36346608
PMCPMC12105881
OpenAlexW4308584252

What OpenQuestion holds

Textmetadata
LicenceTDM
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.