Publications by authors named "Lijin Lian"

Article Synopsis
  • - The study focuses on the CRISPR/Cas13 system, highlighting how components like magnesium concentration and crRNA combinations can enhance its ability to detect RNA, particularly in the context of SARS-CoV-2.
  • - Researchers developed a total internal reflection fluorescence microscopy (TIRFM)-based RNA sensing system that can detect low concentrations of RNA, achieving a sensitivity of 100 aM, which is significantly better than traditional methods.
  • - The new sensing platform demonstrated its clinical potential by successfully detecting RNA from SARS-CoV-2 pseudovirus, suggesting that with minor adjustments, it could be used for various RNA detection applications.
View Article and Find Full Text PDF

We report a fast, easy-to-implement, highly sensitive, sequence-specific, and point-of-care (POC) DNA virus detection system, which combines recombinase polymerase amplification (RPA) and CRISPR/Cas12a system for trace detection of DNA viruses. Target DNA is amplified and recognized by RPA and CRISPR/Cas12a separately, which triggers the collateral cleavage activity of Cas12a that cleaves a fluorophore-quencher labeled DNA reporter and generalizes fluorescence. For POC detection, portable smartphone microscopy is built to take fluorescent images.

View Article and Find Full Text PDF

A fast, easy-to-implement, highly sensitive, and point-of-care (POC) detection system for frog virus 3 (FV3) is proposed. Combining recombinase polymerase amplification (RPA) and CRISPR/Cas12a, a limit of detection (LoD) of 100 aM (60.2 copies/μL) is achieved by optimizing RPA primers and CRISPR RNAs (crRNAs).

View Article and Find Full Text PDF

Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although a satisfactory remission of the disease can be achieved, the risk of recurrence is still high.

View Article and Find Full Text PDF

A rapid and cost-effective system is vital for the detection of harmful algae that causes environmental problems in terms of water quality. The approach for algae detection was to capture images based on hyperspectral fluorescence imaging microscope by detecting specific fluorescence signatures. With the high degree of overlapping spectra of algae, the distribution of pigment in the region of interest was unknown according to a previous report.

View Article and Find Full Text PDF

A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_sessionjiikcv3ai7c5snh96937spluu6sjjj0a): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once