Evidence map›Paper›PMID 26949565›Full record

ArticleJournal of data mining in genomics & proteomics2016

Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level.

Da Wei Huang, Castle Raley, Min Kang Jiang, Xin Zheng, Dun Liang, M Tauseef Rehman, Helene C Highbarger, Xiaoli Jiao, Brad Sherman, Liang Ma and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of data mining in genomics & proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  16. Copy-number variation is an important contributor to the genetic causality of inherited retinal degenerations.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
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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

21 authors at 1 institution in 1 country.

Da Wei HuangApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA; National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Castle RaleyCancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Min Kang JiangApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Xin ZhengApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Dun LiangApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
M Tauseef RehmanApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Helene C HighbargerApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Xiaoli JiaoApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Brad ShermanApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Liang MaCritical Care Medicine Department, National Institutes of Health, Bethesda, MD, 20892, USA.
Xiaofeng ChenAdvanced Biomedical Computing Center, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Thomas SkellyAdvanced Biomedical Computing Center, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Jennifer TroyerCancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA; National Human Genome Research Institute, National Institutes of Health, Rockville, MD, 20852, USA.
Robert StephensCancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Tomozumi ImamichiApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Alice PauDivision of Clinical Research, National Institute of Allergy & Infectious Diseases, USA.
Richard A LempickiApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Bao TranCancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Dwight NissleyCancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
H Clifford LaneDivision of Clinical Research, National Institute of Allergy & Infectious Diseases, USA.
Robin L DewarApplied and Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, MD 21702, USA.
Leidos (United States) · US

Funding

Pathogenesis and Treatment of HIV InfectionZIAAI000585 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI LANE, CLIFFORD · 2009 to 2025
$26.8M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z99 AI999999NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Development of HIV-1 drug resistance mutations (HDRMs) is one of the major reasons for the clinical failure of antiretroviral therapy. Treatment success rates can be improved by applying personalized anti-HIV regimens based on a patient's HDRM profile. However, the sensitivity and specificity of the HDRM profile is limited by the methods used for detection. Sanger-based sequencing technology has traditionally been used for determining HDRM profiles at the single nucleotide variant (SNV) level, but with a sensitivity of only ≥ 20% in the HIV population of a patient. Next Generation Sequencing (NGS) technologies offer greater detection sensitivity (~ 1%) and larger scope (hundreds of samples per run). However, NGS technologies produce reads that are too short to enable the detection of the physical linkages of individual SNVs across the haplotype of each HIV strain present. In this article, we demonstrate that the single-molecule long reads generated using the Third Generation Sequencer (TGS), PacBio RS II, along with the appropriate bioinformatics analysis method, can resolve the HDRM profile at a more advanced quasispecies level. The case studies on patients' HIV samples showed that the quasispecies view produced using the PacBio method offered greater detection sensitivity and was more comprehensive for understanding HDRM situations, which is complement to both Sanger and NGS technologies. In conclusion, the PacBio method, providing a promising new quasispecies level of HDRM profiling, may effect an important change in the field of HIV drug resistance research.

Indexed as

HaplotypeHIV-1 drug resistance mutationLinkageNext generation sequencingPacBioQuasispeciesSingle nucleotide variantTag-sequenceThird generation sequencing

Identifiers

PMID26949565
PMCPMC4775093
OpenAlexW2299282022

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.