Evidence map›Paper›PMID 15780141›Full record

ArticleRetrovirology2005

Therapeutic targets for HIV-1 infection in the host proteome.

Winnie S Liang, Anil Maddukuri, Tanya M Teslovich, Cynthia de la Fuente, Emmanuel Agbottah, Shabnam Dadgar, Kylene Kehn, Sampsa Hautaniemi, Anne Pumfery, Dietrich A Stephan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Article
  3. A CRISPR screen of HIV dependency factors revealsbioRxiv : the preprint server for biology · 2023
    Article
  4. Review
  5. Review
  6. microRNA machinery is an integral component of drug-induced transcription inhibition in HIV-1 infection.Journal of RNAi and gene silencing : an international journal of RNA and gene targeting research · 2010
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

11 authors at 4 institutions in 2 countries.

Winnie S LiangNeurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA. wliang@tgen.org
Anil Maddukuri
Tanya M Teslovich
Cynthia de la Fuente
Emmanuel Agbottah
Shabnam Dadgar
Kylene Kehn
Sampsa Hautaniemi
Anne Pumfery
Dietrich A Stephan
Fatah Kashanchi
George Washington University · USTranslational Genomics Research Institute · USJohns Hopkins University · USTampere University · FI

Funding

HIV1 INHIBITION USING TAT PEPTIDE DERIVATIVESR01AI043894 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI KASHANCHI, FATAH · 1999 to 2015
$4.4M
Microarray Center for Research on the Nervous SystemU24NS043571 · NINDS · TRANSLATIONAL GENOMICS RESEARCH INST · PI STEPHAN, DIETRICH A · 2002 to 2004
$3.8M
CELL CYCLE REGULATED TRANSCRIPTION BY HIV1 TRANSACT TATR29AI044357 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI KASHANCHI, FATAH · 1998 to 2002
$322k
NIAID NIH HHS AI13969NIAID NIH HHS AI43894NIAID NIH HHS AI44357NIAID NIH HHS R01 AI043894NIAID NIH HHS R29 AI044357NINDS NIH HHS 1U24NS043571-01NINDS NIH HHS U24 NS043571
6 · The paper itself

Abstract

backgroundDespite the success of HAART, patients often stop treatment due to the inception of side effects. Furthermore, viral resistance often develops, making one or more of the drugs ineffective. Identification of novel targets for therapy that may not develop resistance is sorely needed. Therefore, to identify cellular proteins that may be up-regulated in HIV infection and play a role in infection, we analyzed the effects of Tat on cellular gene expression during various phases of the cell cycle.

resultsSOM and k-means clustering analyses revealed a dramatic alteration in transcriptional activity at the G1/S checkpoint. Tat regulates the expression of a variety of gene ontologies, including DNA-binding proteins, receptors, and membrane proteins. Using siRNA to knock down expression of several gene targets, we show that an Oct1/2 binding protein, an HIV Rev binding protein, cyclin A, and PPGB, a cathepsin that binds NA, are important for viral replication following induction from latency and de novo infection of PBMCs.

conclusionBased on exhaustive and stringent data analysis, we have compiled a list of gene products that may serve as potential therapeutic targets for the inhibition of HIV-1 replication. Several genes have been established as important for HIV-1 infection and replication, including Pou2AF1 (OBF-1), complement factor H related 3, CD4 receptor, ICAM-1, NA, and cyclin A1. There were also several genes whose role in relation to HIV-1 infection have not been established and may also be novel and efficacious therapeutic targets and thus necessitate further study. Importantly, targeting certain cellular protein kinases, receptors, membrane proteins, and/or cytokines/chemokines may result in adverse effects. If there is the presence of two or more proteins with similar functions, where only one protein is critical for HIV-1 transcription, and thus, targeted, we may decrease the chance of developing treatments with negative side effects.

Indexed as

ProteomeBase SequenceCells, CulturedG1 PhaseGene Expression ProfilingGene Products, tatHeLa CellsHIV-1HIV InfectionsHumansLeukocytes, MononuclearMolecular Sequence DataOligonucleotide Array Sequence AnalysisProteinsS Phasetat Gene Products, Human Immunodeficiency VirusGene Products, tatProteinsProteometat Gene Products, Human Immunodeficiency Virus

Identifiers

PMID15780141
PMCPMC1087880
OpenAlexW2169844526

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.