Single-cell profiling of D-2-hydroxyglutarate using surface-immobilized resazurin analogs

Cheng, Hong; Li, Zhonghan; Guo, Zhiyong; Shao, Shiqun; Li, Mo; Wei, Wei; Xue, Min

doi:10.1016/j.bios.2021.113368

Cited by 5 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Biological variables are usually characterized by highly complex relationships, such as polynomials. Nonlinear dimensionality reduction algorithms can capture more information than PCA. , t -SNE captures nonlinear relationships of local structures and places similar results in the graph to perform different clusters. In the t -SNE result plot, the degree of aggregation between different cell lines and the expression of some variables in different cells could be observed.…”

Section: Methodsmentioning

confidence: 99%

Single-Cell Analysis and Classification according to Multiplexed Proteins via Microdroplet-Based Self-Driven Magnetic Surface-Enhanced Raman Spectroscopy Platforms Assisted with Machine Learning Algorithms

et al. 2023

View full text Add to dashboard Cite

A microdroplet-based surface-enhanced Raman spectroscopy (microdroplet SERS) platform was constructed to envelop individual cells in microdroplets, followed by the SERS detection of their extracellular vesicle-proteins (EV-proteins) via the in-drop immunoassays by use of immunomagnetic beads (iMBs) and immuno-SERS tags (iSERS tags). A unique phenomenon is found that iMBs can start a spontaneous reorientation on the probed cell surface based on the electrostatic force-driven interfacial aggregation effect, which leads EV-proteins and iSERS tags to be gathered from a liquid phase to a cell membrane interface and significantly improves SERS sensitivity to the single-cell analysis level due to the formation of numbers of SERS hotspots. Three EV-proteins from two breast cancer cell lines were collected and further analyzed by machine learning algorithmic tools, which will be helpful for a deeper understanding of breast cancer subtypes from the view of EV-proteins.

show abstract

Section: Methodsmentioning

confidence: 99%

Single-Cell Analysis and Classification according to Multiplexed Proteins via Microdroplet-Based Self-Driven Magnetic Surface-Enhanced Raman Spectroscopy Platforms Assisted with Machine Learning Algorithms

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Nevertheless, these methods always suffer from the dependence on sophisticated instruments, cumbersome operation, complex pretreatment of samples, and expensive testing cost. Recently, the colorimetry and fluorometry methods for the analysis of D2HG have been exploited [ 15 , 16 ]. The former employs NAD+-dependent D2HGDH to catalyze the dehydrogenation of D2HG to produce colored intermediates.…”

Section: Introductionmentioning

confidence: 99%

An Enzymatic Biosensor for the Detection of D-2-Hydroxyglutaric Acid in Serum and Urine

Kang

et al. 2022

Biosensors

View full text Add to dashboard Cite

D-2-hydroxyglutaric acid (D2HG) is overproduced as a result of the D-2-hydroxyglutaric aciduria and relevant cancers, caused by gene mutation. Accurate analysis of D2HG could help rapid diagnosis of these diseases and allow for timely treatment. In this work, a D-2-hydroxyglutarate dehydrogenase from Ralstonia solanacearum (RsD2HGDH) is cloned and recombinantly expressed. This enzyme features the direct electron transfer to chemical electron mediators (such as methylene blue (MB)) in the absence of additional coenzymes. Therefore, NAD+, a natural electron acceptor for the commercial D2HGDH and usually known for being unstable and difficult for immobilization can be avoided in the preparation of biosensors. The RsD2HGDH and MB are co-immobilized on a two-dimensional material, Ti3C2 MXene, followed by drop-coating on the gold screen-printed electrode (AuSPE) to construct a compact and portable biosensor. The D2HG in samples can be catalyzed by RsD2HGDH, where the current change is measured by chronoamperometry at −0.23 V. The biosensor shows a D2HG detection range of 0.5 to 120 µM (R2 = 0.9974) with a sensitivity of 22.26 μA mM−1 cm−2 and a detection limit of 0.1 µM (S/N = 3). The biosensor retains 72.52% performance of its incipient state after 30 days of storage. The samples of D2HG-containing fetal bovine serum and artificial urine were analyzed with the recovery of 99.56% to 106.83% and 97.30% to 102.47% further indicating the great application potential of our portable D2HG biosensor.

show abstract

An enzymic l-2-hydroxyglutarate biosensor based on l-2-hydroxyglutarate dehydrogenase from Azoarcus olearius

Hou,

Kang,

Liu

et al. 2024

Biosensors and Bioelectronics

View full text Add to dashboard Cite

Single-cell profiling of D-2-hydroxyglutarate using surface-immobilized resazurin analogs

Cited by 5 publications

References 44 publications

Single-Cell Analysis and Classification according to Multiplexed Proteins via Microdroplet-Based Self-Driven Magnetic Surface-Enhanced Raman Spectroscopy Platforms Assisted with Machine Learning Algorithms

Single-Cell Analysis and Classification according to Multiplexed Proteins via Microdroplet-Based Self-Driven Magnetic Surface-Enhanced Raman Spectroscopy Platforms Assisted with Machine Learning Algorithms

An Enzymatic Biosensor for the Detection of D-2-Hydroxyglutaric Acid in Serum and Urine

An enzymic l-2-hydroxyglutarate biosensor based on l-2-hydroxyglutarate dehydrogenase from Azoarcus olearius

Contact Info

Product

Resources

About