Author

Gila Lustig

Africa Health Research InstituteORCID 0000-0002-8204-0182Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Alex SigaliD· 3 shared Farina KarimiD· 2 shared Khadija KhaniD· 2 shared Sandile CeleiD· 2 shared Yashica GangaiD· 2 shared Ana MoyanoiD· 1 shared Andrew C. YoungiD· 1 shared Anne Derache· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Alex SigalORCID

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintMar 25, 2019

The CNS in the face of ART contains T cell origin HIV which can lead to drug resistance

Gila Lustig, Sandile Cele, Farina Karim…·Alex Sigal

The paper investigates the origin of HIV in the CNS of ART-suppressed individuals and finds T cell-derived HIV that can lead to drug resistance.

DOI 10.1101/588426

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintOct 5, 2018

Interference with HIV infection of the first cell is essential for viral clearance in a pre-exposure prophylaxis model

Ana Moyano, Gila Lustig, Hylton E. Rodel…·Alex Sigal

The paper develops a mathematical model to predict HIV infection clearance with PrEP, showing that reducing infection frequency per cell is more effective than reducing viral burst size.

DOI 10.1101/435552

statistical model

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BioinformaticseLifePeer-reviewedMar 19, 2018

Incomplete inhibition of HIV infection results in more HIV infected lymph node cells by reducing cell death

Laurelle Jackson, Jessica Hunter, Sandile Cele…·Alex Sigal

The paper shows that partial inhibition of HIV transmission can increase live infected lymph node cells by reducing cell death, even with fewer HIV DNA copies per cell.

12 citations

humanstatistical model

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