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PubMed2025

The structural features and immunological role of biomphalysins in the snail Biomphalaria glabrata.

Biomphalysins are β-Pore Forming Toxins (β-PFT) identified in the planorbid Biomphalaria glabrata that belong to the aerolysin-like protein family. Despite potentially diverse biochemical activities, very few eukaryotic aerolysin-related proteins have been extensively studied. Most of the data refers to their discovery in genomes or to transcriptional activity. The involvement of biomphalysins in the immune response of Biomphalaria glabrata has been studied previously, especially regarding biomphalysin 1, which can bind and kill Schistosoma mansoni mother sporocysts. However, the repartition of biomphalysin 1 protein in B. glabrata has yet to be defined. The transcriptional behavior of the 22 other biomphalysin genes following immune challenge also remains uncharacterized. Therefore, herein, we investigate for the first time the tissular distribution of biomphalysin 1 (and 2) in B. glabrata by histological and cytological analyses through immunofluorescence approaches, notably unveiling unexpected tissue location that are involved in biomphalysin 1 synthesis. Structural predictions of the 23 members of the family have been updated using predictions based on aminoacyl spatial pair representation (AlphaFold2), highlighting unique features of the small lobe. In addition, mass spectrometry-based proteomic data more precisely predicted the regions of post-translational cleavage of biomphalysin 1. Transcriptional activity of the biomphalysin genes was explored, after which the plasmatic presence of the biomphalysin proteins was investigated in naive and S. mansoni-infected snails. The ability of native biomphalysin 1 (and 2) to bind several cell types was also investigated and correlated with the lytic ability of plasma toward the exposed cells, highlighting the central role occupied by biomphalysin 1 (and 2) in the humoral immunity of B. glabrata.

Biomphalaria↗
PubMed2004

Neurogenomics: at the intersection of neurobiology and genome sciences.

Neurogenomics is the study of how the genome as a whole contributes to the evolution, development, structure and function of the nervous system. It includes investigations of how genome products (transcriptomes and proteomes) vary in time and space. Neurogenomics differs markedly from the application of genome sciences to other systems, particularly in the spatial category, because anatomy and connectivity are paramount to our understanding of function in the nervous system. We focus here on some of the influences of genomics and its associated technologies on neuroscience. We discuss comparative genomics, gene expression atlases of the brain, network genetics and applications to behavioral phenotypes, and consider the culture, organization and funding of genome-scale projects.

Animals↗
PubMed2006

Simple urinary sample preparation for proteomic analysis.

Since the completion of the human genome sequence, attention has now focused on establishing reference maps of body fluids such as plasma and urine for detecting diagnostic markers of disease. Although some progress has been made, challenges still remain in the development of an optimal sample preparation method for proteomic analysis of urine. We have developed a simple and efficient urine preparation method for two-dimensional (2-D) gel electrophoresis which involves precipitation of proteins with simultaneous desalting. Acetonitrile precipitation produced 2-D gel separations with the highest resolution and the greatest number of protein spots compared to precipitation by other organic solvents. The method was applied to observe changes in the urinary proteome over a 6 week period and to establish a reference map of a healthy subject. A total of 339 proteins from 159 genes was identified from healthy male urine by peptide mass fingerprinting. The profiles of the urinary proteome at three times in 1 day and on four different days were compared and were found to vary in number and spatial location of the proteins on the map. The method was also shown to be applicable to the higher concentrations of protein found in the urine of an ovarian cancer subject. We have developed a facile and robust method for preparing urine for 2-D gels that will encourage further use of urine.

Adult↗
PubMed2006

Proteomic analysis of soluble factors secreted by limbal fibroblasts.

PURPOSE: To identify soluble factors selectively secreted by limbal fibroblasts as possible regulators of limbal basal epithelium. METHODS: Limbal, corneal, and conjunctival fibroblasts were first expanded in vitro in Dulbecco's modified Eagle medium containing 10% fetal bovine serum, and then maintained in serum-free medium for two weeks. Proteomic analysis of culture supernatants was done to compare differences in secreted matricellular proteins. Real time PCR and western blots were done to confirm the expression of secreted protein acid and rich in cysteine (SPARC), a protein found in abundance in extracellular proteins secreted by limbal fibroblasts. Immunohistochemistry of SPARC was done in human limbal tissue to show the spatial distribution of the protein. An adhesion assay was designed to demonstrate the effects of SPARC on an SV40 immortalized human corneal epithelial cell line (HCEC). RESULTS: Proteomic analysis revealed several proteins selectively secreted by limbal fibroblasts. The particular spots were identified as SPARC, vimentin, serine protease, collagen alpha 2 precursor, tissue inhibitor of metalloproteinase 2 (TIMP-2), and 5,10-methlenetetrahdrofolate reductase (FADH2). The expression of SPARC was confirmed by western blot analysis, and mRNA expression was significantly higher in limbal fibroblasts compared to central corneal fibroblasts when analyzed by real time PCR. Immunohistochemistry revealed higher distribution of SPARC in the subepithelial stroma of the limbus compared to the central cornea. The addition of 10 microg/ml murine SPARC in HCEC significantly reduced cell spreading at three h. CONCLUSIONS: The matricellular protein SPARC is preferentially secreted by limbal fibroblasts, and may modulate intercellular adhesion of basal limbal epithelial cells.

Animals↗
PubMed2025

Gain-of-function PPM1D mutations attenuate ischemic stroke.

Identification of genetic aberrations in stroke, the second leading cause of death worldwide, is of paramount importance for understanding the disease pathogenesis and generating new therapies. Whole-genome sequencing from 10,241 ischemic stroke patients identified eight patients carrying gain-of-function mutations on coding variants in the protein phosphatase magnesium-dependent 1 δ (PPM1D) gene. Patients carrying PPM1D mutations exhibit better stroke-related clinical phenotypes, including improvements in peripheral inflammation, fibrinogen, low-density lipoprotein, cholesterol and plateletcrit level. Experimental brain ischemia in Ppm1d-deficient (Ppm1d-/-) mice resulted in enlarged lesions and pronounced neurological impairments. Spatial transcriptomics revealed a distinct Ppm1d-associated gene expression pattern, indicating disrupted endothelial homeostasis during ischemic brain injury. Proteomic analysis demonstrated that differentially expressed proteins in primary brain endothelial cells from Ppm1d-/- mice were significantly enriched in the peroxisome proliferator-activated receptors (PPARs)-mediated metabolic signaling. Mechanistically, Ppm1d deficiency promoted aberrant fatty acid β-oxidation and increased oxidative stress, which impaired endothelial cell function through the PPARα pathway. A small molecule, T2755, was identified to engage Trp427 and stabilize PPM1D, thereby mitigating ischemic brain injury in mice. Collectively, we find that PPM1D protects against ischemic brain injury and validates its pharmacological stabilizer T2755 as a promising therapy for ischemic stroke. Gain-of-function PPM1D mutations attenuate ischemic cerebral injury. Whole-genome sequencing data of 10,241 ischemic stroke patients from the Third Chinese National Stroke Registry (CNSR-III) identified eight patients with gain-of-function mutations in the protein phosphatase magnesium-dependent 1 δ (PPM1D) gene (17q23.2). These mutation carriers displayed improved peripheral inflammation, decreased fibrinogen, low-density lipoprotein, cholesterol and plateletcrit level. Ppm1d-deficient (Ppm1d-/-) mice exhibited exacerbated stroke outcomes, characterized by enlarged infarct volumes, disrupted cerebrovascular architecture, and enhanced neuro-inflammation. Mechanistically, Ppm1d deficiency induced the disturbance of endothelial fatty acid metabolism involving the PPARα pathway. Through integrated computational modeling, virtual screening, and in vitro validation, T2755 was identified as a small molecule PPM1D stabilizer. Pharmacological PPM1D stabilization with T2755 significantly attenuated ischemic brain injury in murine models.

Aged↗
PubMed2026

Nuclear Proteome Map of Mouse Heart Chambers.

Heart specialization involves nuclear programs; however, chamber-specific regulation of the nuclear proteome landscape remains unknown. In this study, we isolated the nucleus from four major anatomical regions of healthy mouse heart (fresh) and employed quantitative mass spectrometry-based proteomics to construct a comprehensive nuclear proteome landscape of left ventricle (LV, 2403 proteins), right ventricle (RV, 2242 proteins), left atrium (LA, 2368 proteins), and right atrium (RA, 1816 proteins). This led to the discovery of nuclear regional proteome signatures (ventricular signature, 297 proteins; atrial signature, 183 proteins) associated with oxidative metabolism and redox regulation, ferroptosis, extracellular-matrix remodeling, SUMO- and stress-responsive control and transcriptional regulation. Chamber-level analyses further identify distinct nuclear features in LV (120 proteins), LA (188 proteins), and RA (72 proteins). In addition, we defined conserved core nuclear proteome (230 proteins) shared across all anatomical regions, enriched for transcription-regulator complexes, nucleolar/ribosome-associated, RNA-processing, and chromatin-organization components. Within this core network, we report 78 transcription factors/co-factors and select nuclear, chromatin and RNA export-associated proteins, including 29 specific factors (e.g., Alpk3, Rbm14, Arglu1, Hmgb1, Myef2, Sf1) associated with the heart. Regionally, we verified spatial localization in heart of H2ac21 and Sun2 in LA and Ptbp2 in LV by immunofluorescence. This study provides insights into the chamber-resolved view of the nuclear proteome in the heart, establishes a framework for linking nuclear proteomic signatures to atrial and ventricular biology, unique features of the heart nuclear proteome landscape relative to other organs, and a baseline for studying nuclear remodeling in cardiac pathophysiology.

Animals↗
PubMed2002

Towards proteome-wide production of monoclonal antibody by phage display.

Sequencing of the human genome reveals that there are approximately 30,000 genes that encode an even greater number of proteins which comprise the human proteome. Characterization of gene products at the genome-wide scale requires the development of high throughput methods to generate temporo-spatial information on each and every protein in the cell under normal and pathological conditions. Monoclonal antibodies are important reagents for these studies. We have developed a method to generate human monoclonal antibodies by selecting phage antibody libraries directly on antigen blotted onto poly(vinylidene fluoride) membranes. Cellular proteins are first separated by two dimensional (2D) gel electrophoresis, Western blotted onto poly(vinylidene fluoride) membranes, and used to select phage antibody libraries. Monoclonal antibodies can be generated against individual protein spots on a 2D gel. The antibodies are functional in Western blotting, ELISA, and immunohistochemistry. Automation of this process should allow high throughput production of monoclonal phage antibodies against cellular proteins as well as proteins that are uniquely expressed under pathological conditions.

Amino Acid Sequence↗
PubMed2005

The utility of accurate mass and LC elution time information in the analysis of complex proteomes.

The combination of mass and normalized elution time (NET) of a peptide identified by liquid chromatography-mass spectrometry (LC-MS) measurements can serve as a unique signature for that peptide. However, the specificity of an LC-MS measurement depends upon the complexity of the proteome (i.e., the number of possible peptides) and the accuracy of the LC-MS measurements. In this work, theoretical tryptic digests of all predicted proteins from the genomes of three organisms of varying complexity were evaluated for specificity. Accuracy of the LC-MS measurement of mass-NET pairs (on a 0 to 1.0 NET scale) was described by bivariate normal sampling distributions centered on the peptide signatures. Measurement accuracy (i.e., mass and NET standard deviations of +/-0.1, 1, 5, and 10 ppm, and +/-0.01 and 0.05, respectively) was varied to evaluate improvements in process quality. The spatially localized confidence score, a conditional probability of peptide uniqueness, formed the basis for the peptide identification. Application of this approach to organisms with comparatively small proteomes, such as Deinococcus radiodurans, shows that modest mass and elution time accuracies are generally adequate for confidently identifying most peptides. For more complex proteomes, more accurate measurements are required. However, the study suggests that the majority of proteins for even the human proteome should be identifiable with reasonable confidence by using LC-MS measurements with mass accuracies within +/-1 ppm and high efficiency separations having elution time measurements within +/-0.01 NET.

Animals↗
PubMed2026

Essence: A benchmarking-validated transformer framework for early diagnosis of Parkinson's disease using cerebrospinal fluid protein biomarkers.

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms. The lack of objective molecular biomarkers limits early diagnosis and personalized treatment. Here, we propose Essence, a benchmarking-validated framework integrating cerebrospinal fluid (CSF) proteomics with traditional and deep learning models to identify robust protein signatures for PD. Using data from two independent cohorts, 1266 high-confidence proteins are quantified, among which 178 exhibit differential abundance between PD and healthy controls (HC). Through systematic benchmarking of ten machine learning algorithms and four neural architectures, the Transformer model consistently outperforms alternatives across multiple feature selection strategies, achieving an area under the receiver operating characteristic curve (AUC) of 1.0000 with only 35 features. Functional analyses of the top-ranked 35 proteins reveal enrichment in neuroinflammatory, synaptic, and oxidative stress-related pathways. Importantly, spatial transcriptomic profiling based on the Allen Brain Atlas shows region-specific expression of these biomarkers in PD-relevant brain structures, including the striatum, subthalamic nucleus, hippocampus, and white matter tracts. This anatomical alignment supports the functional relevance of the identified markers and highlights their potential utility in early-stage diagnosis and mechanistic understanding of PD.

Benchmarking↗
PubMed2026

Imaging-Guided Omics Technologies for Resolving Rare Cancer States and Advancing Nanomedicine.

The ability to resolve rare and transient cellular states is critical for understanding metastasis, immune evasion, and therapy resistance in cancer, yet these dynamic processes often escape detection by conventional sequencing and imaging approaches. Recent advances at the interface of nanotechnology, high-resolution live-cell imaging, and single-cell/spatial multiomics methods have enabled functional profiling of cells with unprecedented precision within their native microenvironment. In this Mini-Review, we highlight emerging nanoscale platforms that couple real-time phenotypic imaging with molecular readouts, such as FUNseq and CIN-seq, to directly link functional heterogeneity to transcriptomic, proteomic, and epigenomic information. By integrating nanoscale optical imaging, microengineered perturbation tools, and AI-driven computational analysis, these technologies open up new avenues for dissecting rare metastatic, therapy-resistant, or immune-evasive subpopulations. We further discuss how these next-generation imaging-guided single-cell and spatial omics platforms not only advance fundamental cancer biology but also create opportunities to accelerate the development of nanomedicine applications.

Humans↗
PubMed2002

Individually addressable parallel peptide synthesis on microchips.

Miniaturized, spatially addressable microchips of peptides and peptidomimetics are powerful tools for high-throughput biomedical and pharmaceutical research and the advancement of proteomics. Here we report an efficient and flexible method for the parallel synthesis of peptides on individually addressable microchips, using digital photolithography and photogenerated acid in the deprotection step. We demonstrate that we are able to synthesize thousands of peptides in a 1 cm(2) area on a microchip using 20 natural amino acids as well as synthetic amino acid analogs, with high stepwise yields and short reaction-cycle times. Epitope screening experiments using a p53 antibody (PAb240) produced clearly defined binding patterns. The peptidomimetic sequences on the microchip show specific antibody binding and provide insights into the molecular details responsible for specificity of epitope binding. Our approach requires just a conventional synthesizer and a computer-controllable optical module, thereby allowing potential development of peptide microchips for various pharmaceutical and proteomic applications in routine research laboratories.

Amino Acid Sequence↗
PubMed2006

Decoding 2D-PAGE complex maps: relevance to proteomics.

This review describes two mathematical approaches useful for decoding the complex signal of 2D-PAGE maps of protein mixtures. These methods are helpful for interpreting the large amount of data of each 2D-PAGE map by extracting all the analytical information hidden therein by spot overlapping. Here the basic theory and application to 2D-PAGE maps are reviewed: the means for extracting information from the experimental data and their relevance to proteomics are discussed. One method is based on the quantitative theory of statistical model of peak overlapping (SMO) using the spot experimental data (intensity and spatial coordinates). The second method is based on the study of the 2D-autocovariance function (2D-ACVF) computed on the experimental digitised map. They are two independent methods that are able to extract equal and complementary information from the 2D-PAGE map. Both methods permit to obtain fundamental information on the sample complexity and the separation performance and to single out ordered patterns present in spot positions: the availability of two independent procedures to compute the same separation parameters is a powerful tool to estimate the reliability of the obtained results. The SMO procedure is an unique tool to quantitatively estimate the degree of spot overlapping present in the map, while the 2D-ACVF method is particularly powerful in simply singling out the presence of order in the spot position from the complexity of the whole 2D map, i.e., spot trains. The procedures were validated by extensive numerical computation on computer-generated maps describing experimental 2D-PAGE gels of protein mixtures. Their applicability to real samples was tested on reference maps obtained from literature sources. The review describes the most relevant information for proteomics: sample complexity, separation performance, overlapping extent, identification of spot trains related to post-translational modifications (PTMs).

Electrophoresis, Gel, Two-Dimensional↗
PubMed2026

Pan-cancer analysis identifies APOC1 as a TAM-derived modulator of adaptive immune resistance and predictor of therapeutic response.

BACKGROUND: Apolipoprotein C1 (APOC1) has been implicated in several malignancies, yet its expression patterns, clinical significance, and immunomodulatory roles across cancer types remain poorly characterized. METHODS: We performed a comprehensive multi-omic analysis of APOC1 across 33 cancer types integrating transcriptomic, proteomic, genomic, epigenomic, and pharmacogenomic data from TCGA, GTEx, CPTAC, and multiple independent external cohorts. Immune infiltration was assessed using seven complementary algorithms. Spatial transcriptomics and single-cell RNA sequencing were employed to determine the cellular source of APOC1 expression. RESULTS: APOC1 upregulation in most cancers was associated with cancer type-specific prognosis. After adjustment for clinical covariates and macrophage infiltration, high APOC1 remained an independent adverse factor in KIRC, LGG, and STAD. APOC1 expression positively correlated with genomic instability hallmarks, including homologous recombination deficiency and aneuploidy, with these associations largely independent of immune infiltration; in contrast, associations with tumor mutational burden were substantially confounded by macrophage abundance. Immune infiltration analysis revealed a pattern consistent with adaptive immune resistance: APOC1 correlated positively with immune-activating signatures (STAT1, MHC-II, TCR signaling) and immunosuppressive M2 macrophages and Tregs, yet negatively with anti-tumor effectors (activated NK cells, dendritic cells). Spatial transcriptomics and single-cell RNA sequencing identified tumor-associated macrophages (TAMs) as the primary cellular source of APOC1, with transcripts co-localizing with CD68 in tissue sections. APOC1 expression correlated with multiple immune checkpoint molecules and was elevated in responders to immune checkpoint blockade, consistent with an inflamed yet regulated tumor microenvironment. Pharmacogenomic analyses revealed that APOC1-high tumors display distinct drug response profiles, characterized by resistance to MAPK pathway inhibitors and potential sensitivity to the HDAC inhibitor Entinostat. CONCLUSION: This pan-cancer analysis establishes APOC1 as a context-dependent biomarker and a TAM-derived modulator of adaptive immune resistance, with prognostic and therapeutic implications across malignancies. APOC1-expressing TAMs represent a potential target for combination immunotherapy strategies.

APOC1↗
PubMed2026

Preserving the Pineal Gland in Perinatal Mouse Brain Preparations.

The pineal gland, a neuroendocrine structure that secretes melatonin, forms from an anlage at the dorsal midline in the embryonic forebrain. At embryonic day (E) 14.5 in the mouse, a pineal diverticulum is seen out-pouching from the roof of the diencephalon between the paired telencephalic vesicles. This diverticulum is in close contact with overlying cartilage, meningeal, and vascular tissue. It is easily lost when the cranial vault is opened to extract the brain at late embryonic/ early postnatal stages. Despite its important neuroendocrine role, the early development of the pineal gland and the signaling mechanisms that regulate this process remain poorly understood, partly due to the difficulty of preserving this structure intact during embryonic stages of mouse brain development. This article presents an innovative dissection procedure that preserves the pineal gland while maintaining its structural integrity and its attachment to the roof of the diencephalon during brain isolation from embryonic stages through postnatal day (P) 7. The procedure is demonstrated using an E18.5 mouse brain and is therefore suitable for downstream applications requiring preservation of tissue architecture, including in situ hybridization, immunohistochemistry, and spatial transcriptomics. The protocol may also be used to isolate the developing pineal gland, thereby improving pineal-specific representation in transcriptomic and proteomic analyses, which is otherwise challenging because of its small size.

Animals↗
PubMed2005

Systems analysis of transcriptome and proteome in retinoic acid/arsenic trioxide-induced cell differentiation/apoptosis of promyelocytic leukemia.

Understanding the complexity and dynamics of cancer cells in response to effective therapy requires hypothesis-driven, quantitative, and high-throughput measurement of genes and proteins at both spatial and temporal levels. This study was designed to gain insights into molecular networks underlying the clinical synergy between retinoic acid (RA) and arsenic trioxide (ATO) in acute promyelocytic leukemia (APL), which results in a high-quality disease-free survival in most patients after consolidation with conventional chemotherapy. We have applied an approach integrating cDNA microarray, 2D gel electrophoresis with MS, and methods of computational biology to study the effects on APL cell line NB4 treated with RA, ATO, and the combination of the two agents and collected in a time series. Numerous features were revealed that indicated the coordinated regulation of molecular networks from various aspects of granulocytic differentiation and apoptosis at the transcriptome and proteome levels. These features include an array of transcription factors and cofactors, activation of calcium signaling, stimulation of the IFN pathway, activation of the proteasome system, degradation of the PML-RARalpha oncoprotein, restoration of the nuclear body, cell-cycle arrest, and gain of apoptotic potential. Hence, this investigation has provided not only a detailed understanding of the combined therapeutic effects of RA/ATO in APL but also a road map to approach hematopoietic malignancies at the systems level.

Antineoplastic Agents↗
PubMed2003

Protein sequences yield a proteomic code.

Analysis of crystallized protein structures suggests that globular proteins are organized as consecutively connected units of 25-35 residues. These units are closed loops, that is returns of the polypeptide chain trajectory to a close contact with itself. This universal feature of apparently polymer-statistical nature is a basis for a principally novel view on the globular proteins as loop fold structures. The same unit size has been detected in protein sequences translated from complete prokaryotic genomes by positional autocorrelation analysis, which strongly indicates the evolutionary connection of the units. The units are further characterized by prototype sequences matching to their numerous derivatives in the translated genomes. The matches to five strongest prokaryotic prototypes and three prototypes of C. elegans are identified in the sequences of crystallized proteins, and their structures analyzed. Corresponding segments of the polypeptide chains in majority of cases form closed loops, though evolutionary fate of every prototype element is shown to be rather diverse. Then loop ends can be separated by a sequence-wise distant segments and stabilized by the spatial interactions in the context of the overall globular structure. The units belong to a presumably limited spectrum of the sequence prototypes, full repertoire of which would constitute a proteomic code.

Amino Acid Motifs↗
PubMed2006

Gel-based hippocampal proteomic analysis 2 weeks following traumatic brain injury to immature rats using controlled cortical impact.

Traumatic brain injury (TBI) to postnatal day 17 rats has been shown to produce acute changes in hippocampal global protein levels and spatial learning and memory deficits. The purpose of the present study was to analyze global hippocampal protein changes 2 weeks after a moderate ipsilateral controlled cortical impact in postnatal day 17 rats using 2-dimensional difference gel electrophoresis and mass spectrometry. Paired sham and ipsilateral injured hippocampal lysates were independently labeled with different fluorescent cyanine dyes and coseparated within the same immobilized pH gradient strips and slab gel based on isoelectric point and molecular mass. Significant changes in key proteins involved in glial and neuronal stress, oxidative metabolism, calcium uptake and neurotransmitter function were found 2 weeks after injury, and their potential roles in hippocampal plasticity and cognitive dysfunction were discussed.

Aging↗
PubMed2003

A dual role for poly-ADP-ribosylation in spatial memory acquisition after traumatic brain injury in mice involving NAD+ depletion and ribosylation of 14-3-3gamma.

Poly(ADP-ribose) polymerase-1 (PARP-1) is a homeostatic enzyme that paradoxically contributes to disturbances in spatial memory acquisition after traumatic brain injury (TBI) in transgenic mice, thought to be related to depletion of its substrate nicotinamide adenine dinucleotide (NAD+). In this study, systemic administration of the PARP-1 inhibitor 5-iodo-6-amino-1,2-benzopyrone (INH2BP) after TBI preserved brain NAD+ levels and dose-dependently reduced poly-ADP-ribosylation 24 h after injury. While moderate-dose INH2BP improved spatial memory acquisition after TBI; strikingly, both injured- and sham-mice receiving high-dose INH2BP were unable to learn in the Morris-water maze. Poly-ADP-ribosylated peptides identified using a proteomics approach yielded several proteins potentially associated with memory, including structural proteins (tubulin alpha and beta, gamma-actin, and alpha-internexin neuronal intermediate filament protein) and 14-3-3gamma. Nuclear poly-ADP-ribosylation of 14-3-3gamma was completely inhibited by the dose of INH2BP that produced profound memory disturbances. Thus, partial inhibition of poly-ADP-ribosylation preserves NAD+ and improves functional outcome after TBI, whereas more complete inhibition impairs spatial memory acquisition independent of injury, and is associated with ribosylation of 14-3-3gamma.

14-3-3 Proteins↗