Christian Moya Gamboa

Mr. Christian Moya Gamboa

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2020 in iScience
Verified
Journal Article
Open access
MCMichelle Chadwick
Michelle Chadwick
CYChen Yang
Chen Yang
LLLiqiong Liu
Liqiong Liu
CGChristian Moya Gamboa
Christian Moya Gamboa
KJKelly Jara
Kelly Jara
HSHatim Sabaawy
Hatim Sabaawy
Glioblastoma is the most common and deadly primary brain malignancy. Despite advances in precision medicine oncology (PMO) allowing the identification of molecular vulnerabilities in glioblastoma, treatment options remain limited, and molecular assays guided by genomic and expression profiling to inform patient enrollment in life-saving trials are lacking. Here, we generate four-dimensional (4D) cell-culture arrays for rapid assessment of drug responses in glioblastoma patient-derived models. The arrays are 3D printed with thermo-responsive shape memory polymer (SMP). Upon heating, the SMP arrays self-transform in time from 3D cell-culture inserts into histological cassettes. We assess the utility of these arrays with glioblastoma cells, gliospheres, and patient derived organoid-like (PDO) models and demonstrate their use with glioblastoma PDOs for assessing drug sensitivity, on-target activity, and synergy in drug combinations. When including genomic and drug testing assays, this platform is poised to offer rapid functional drug assessments for future selection of therapies in PMO.

24 November 2021 in Cells
Verified
Journal Article
Open access
PDF file
CGChristian Moya Gamboa
Christian Moya Gamboa
YWYujue Wang
Yujue Wang
HXHuiting Xu
Huiting Xu
KKKatarzyna Kalemba
Katarzyna Kalemba
FWFredric Wondisford
Fredric Wondisford
HSHatim Sabaawy
Hatim Sabaawy
The liver is among the principal organs for glucose homeostasis and metabolism. Studies of liver metabolism are limited by the inability to expand primary hepatocytes in vitro while maintaining their metabolic functions. Human hepatic three-dimensional (3D) organoids have been established using defined factors, yet hepatic organoids from adult donors showed impaired expansion. We examined conditions to facilitate the expansion of adult donor-derived hepatic organoids (HepAOs) and HepG2 cells in organoid cultures (HepGOs) using combinations of growth factors and small molecules. The expansion dynamics, gluconeogenic and HNF4α expression, and albumin secretion are assessed. The conditions tested allow the generation of HepAOs and HepGOs in 3D cultures. Nevertheless, gluconeogenic gene expression varies greatly between conditions. The organoid expansion rates are limited when including the TGFβ inhibitor A8301, while are relatively higher with Forskolin (FSK) and Oncostatin M (OSM). Notably, expanded HepGOs grown in the optimized condition maintain detectable gluconeogenic expression in a spatiotemporal distribution at 8 weeks. We present optimized conditions by limiting A8301 and incorporating FSK and OSM to allow the expansion of HepAOs from adult donors and HepGOs with gluconeogenic competence. These models increase the repertoire of human hepatic cellular tools available for use in liver metabolic assays.

1 March 2021 in STAR Protocols
Verified
Journal Article
Open access
CGChristian Moya Gamboa
Christian Moya Gamboa
KJKelly Jara
Kelly Jara
SPSahithi Pamarthy
Sahithi Pamarthy
LLLiqiong Liu
Liqiong Liu
RARobert Aiken
Robert Aiken
HSHatim Sabaawy
Hatim Sabaawy
Robust patient-derived platforms that recapitulate the cellular and molecular fingerprints of glioblastoma are crucial for developing effective therapies. Here, we describe a chemically defined protocol for 3D culture and propagation of glioblastoma in 3D gliospheres, patient-derived organoids (PDOs), mouse brain orthotopic xenografts (PDOXs), and downstream drug and immunofluorescence assays. This simple-to-follow protocol allows assessing drug sensitivity, on-target activity, and combined drug synergy. Promising therapies can then be validated in PDOXs for translation in precision medicine oncology trials.