bioRxiv Science⌕ Search

Biology subjects

Le, M. T.

Publications and source records attributed to Le, M. T..

4 recordsLinked to original sources

In vitro evolution of DNA operators enables multivalency protein-DNA interactions: towards programmable transcription factor regulation

In vitro transcription (IVT) systems regulated by allosteric transcription factors (aTFs) are central to emerging cell-free biosensing and synthetic biology platforms, yet their performance is often limited by suboptimal protein-DNA interactions and the need for well-characterized regulatory elements. Here, we report an in vitro evolution strategy to engineer DNA operator sequences that enables tunable aTF-DNA interactions without requiring prior detailed knowledge of the native operator or regulatory mechanism. Using a SELEX-based approach with integrated positive and counter-selection steps, we evolved non-natural operators for the sulfane sulfur-responsive transcriptional repressor SqrR. The selected sequences preserve ligand-responsive allostery, with some sequences exhibiting enhanced binding affinity and reducing transcriptional leakage. Notably, we identify operator with binding behaviors consistent with cooperative recruitment of multiple SqrR dimers, suggesting that sequence architecture can modulate aTF-DNA interactions beyond affinity alone. Incorporation of these operators into IVT circuits improves transcriptional control and dynamic range, enabling the development of ROSALIND-based sensors for sulfane sulfur species, achieving sensitive and selective detection in a fully cell-free format. More broadly, this work establishes operator evolution as a programmable strategy to optimize transcription factor-DNA interactions and expand the design space of transcription-based biosensors, including for systems lacking well-characterized genetic components.

synthetic biology↗

Deciphering tumour microenvironment and elucidating the origin of cancer cells in ovarian clear cell carcinoma

Ovarian clear cell carcinoma (CCC) has an East Asian preponderance. It is associated with endometriosis, a benign condition where endometrial (inner lining of the uterus) tissue is found outside the uterus and on the peritoneal surface, in the abdominal or pelvic space. CCC is relatively more resistant to conventional chemotherapy compared to other ovarian cancer subtypes and is associated with a poorer prognosis. In this study, we recruited and obtained tumour tissues from seven patients across the four stages of CCC. The tumour and the tumour microenvironment (TME) from 7 CCC patients spanning clinical stages 1-4 were transcriptionally profiled using high-resolution scRNA-seq to gain insight into CCCs biological mechanisms. Firstly, we built a scRNA-seq resource for the CCC tumour microenvironment (TME). Secondly, we identified the different cell type proportions and found high levels of immune infiltration in CCC. Thirdly, since CCC is associated with endometriosis, we compared CCC with two publicly available endometriosis scRNA-seq datasets. The CCC malignant cells showed similarities with glandular secretory and ciliated epithelial cells found in endometriosis. Finally, we determined the differences in cell-cell communication between various cell types present in CCC TME and endometriosis conditions to gain insights into the transformations in CCC.

cancer biology↗

A Novel Melatonergic Signature Predicts Reccurence Risk and Therapeutic Response in Breast Cancer Patients

ASMT is a key determinant of the levels of released melatonin. Though melatonin has been shown to exhibit anti-cancer activity and prevents endocrine resistance in breast cancer, the role of ASMT in breast cancer progression remains unclear. In this retrospective study, we analyzed gene expression profiles from thousands of patients and found that ASMT expression was significantly lower in breast cancer tumors relative to healthy tissue. Among cancer patients, those with greater expression had better relapse-free survival outcomes and longer metastasis-free survival times, and they also experienced longer periods before relapse or distance recurrence following tamoxifen treatment. Administration of melatonin, in combination with tamoxifen, further promoted cancer cell death by promoting apoptosis. Motivated by these results, we devised an ASMT gene signature that identifies low-risk cases with great accuracy. This signature was validated using both mRNA array and RNAseq datasets. Intriguingly, patients who are classified as high-risk benefit from adjuvant chemotherapy, and those with grade II tumors who are classified as low-risk exhibit improved overall survival and distance relapse-free outcomes following endocrine therapy. Our findings more clearly elucidate the roles of ASMT, provide strategies for improving the efficacy of tamoxifen treatment, and help to identify those patients who may maximally benefit from adjuvant or endocrine therapies.

cancer biology↗

Tuning site-specific dynamics to drive allosteric activation in a pneumococcal zinc uptake regulator

MarR (multiple antibiotic resistance repressor) family proteins are bacterial repressors that regulate transcription in response to a wide range of chemical signals. Although specific features of MarR family function have been described, the role of atomic motions in MarRs remains unexplored thus limiting insights into the evolution of allostery in this ubiquitous family of repressors. Here, we provide the first experimental evidence that internal dynamics play a crucial functional role in MarR proteins. Streptococcus pneumoniae AdcR (adhesin-competence repressor) regulates ZnII homeostasis and ZnII functions as an allosteric activator of DNA binding. ZnII coordination triggers a transition from independent domains to a more compact structure. We identify residues that impact allosteric activation on the basis of ZnII-induced perturbations of atomic motions over a wide range of timescales. These findings reconcile the distinct allosteric mechanisms proposed for other MarRs and highlight the importance of conformational dynamics in biological regulation.

biochemistry↗