Biology subjects

Pinault, E.

Publications and source records attributed to Pinault, E..

3 recordsLinked to original sources

bioRxiv2026

Lineage-specific regulation and RNA-associated functions of SATB1 in mature B-cells

Special AT-rich binding protein 1 (SATB1) is a nuclear matrix-associated transcription factor that orchestrates higher-order chromatin architecture and gene expression in T and B lymphocytes. While SATB1s role in T cells is well-established, its regulation and function in B cells remain underexplored. Here, we showed that Satb1 expression in mature B cells is controlled by alternative promoter usage and splicing, with promoters P1 and P3 dynamically switching upon LPS-induced activation, while P2 remains transcriptionally silent. We identified four Satb1 mRNA isoforms, including two novel transcripts ({Delta}9 and{Delta} 9{Delta}11), all of which maintain open reading frames. Satb1 transcription decreases upon activation while SATB1 protein content evolves differently, suggesting post-transcriptional regulation. SATB1 forms a high-molecular-weight complex in B cells, and co-immunoprecipitation mass spectrometry reveals RNA-binding proteins as its predominant interactors. These findings specify SATB1 expression kinetics during B-cell activation and reveal its role as a regulator of RNA splicing in B cells.

immunology↗

bioRxiv2024

A mouse model of cardiac AL amyloidosis unveils mechanisms of tissue accumulation and toxicity of amyloid fibrils

AL amyloidosis is one of the most common types of systemic amyloidosis, caused by the deposition in tissues of fibrillar aggregates of abnormal immunoglobulin (Ig) light chain (LC), leading to organ dysfunction. The most frequent and severe forms affect the kidneys and heart, the latter being associated with a poor prognosis. Despite extensive efforts to decipher the mechanisms of fibril formation and their toxicity, the lack of reliable in vivo models hinders the study of the disease in its physiological context. We developped a transgenic mouse model producing high amounts of a human AL light chain (LC). While mice exceptionnaly develop spontaneous AL amyloidosis and do not exhibit organ toxicity due to the circulating amyloidogenic free LC, a single injection of amyloid fibrils, made up of the variable domain (VL) of the human LC, or soluble VL led to amyloid deposits in the heart, vessels, spleen and, to a lesser extent, in the kidney and other visceral tissues. AL fibrils in mice contain both full length and fragmented LC with a fragmentation pattern highly superposable to that of human AL fibrils from the same LC subgroup (IGLV6-57). They also develop an early cardiac dysfunction closely resembling the human disease with increased NT-proBNP,and activation of pathways involved in the extracellular matrix remodeling and fibrosis. Overall, this transgenic AL model closely reproduces human cardiac AL amyloidosis and shares with humans the biochemical composition of the deposits, arguing for a conserved mechanism of amyloid fibrils formation. It also shows that a partial degradation of the LC is likely required to initiate amyloid fibril formations. This model offers a new avenue for research on AL amyloidosis and fills an important gap for the preclinical evaluation of new therapies.

pathology↗

bioRxiv2019

Strategies based on sum of peak intensities may better reflect protein expression than peak area integration in iTRAQ protein expression measurement by LC-MS/MS using a TripleTOF 5600+ platform

In the field of quantitative proteomics, the Isobaric Tags for Relative & Absolute Quantitation (iTRAQ) technology has demonstrated efficacy for proteome monitoring despite its lack of a consensus for data handling. In this study, after peptide and protein identification, we compared the widespread quantitation method based on the calculation of MS/MS reporter ion peaks areas ratios (ProteinPilot) to the alternative method based on the calculation of ratios of the sum of peak intensities (jTRAQx (Quant)) and we processed output data with the in-house Customizable iTRAQ Ratios Calculator (CiR-C) algorithm. Quantitation based on peak area ratios displayed no significant linear correlation with Western blot quantitation. In contrast, quantitation based on the sum of peak intensities displayed a significant linear association with Western blot quantitation (non-zero slope; Pearson correlation coefficient test, r = 0.2962, p = 0.0099 **) with an average bias of 0.08747 {+/-} 0.5004 and 95% Limits of Agreement from - 0.8932 to 1.068. We proposed the Mascot-jTRAQx-CiR-C strategy as a simple yet powerful data processing adjunct to the iTRAQ technology.

cell biology↗