Biology subjects

Crossley, M.

Publications and source records attributed to Crossley, M..

5 recordsLinked to original sources

bioRxiv2024

Mechanistic dissection of the CHD4 enhancers reveals cooperative functions among the homotypic ZNF410 clustered motifs

Transcription factors often regulate numerous target genes. However, ZNF410 controls only a single gene, CHD4, in human erythroid cells by its highly restricted chromatin occupancy to the CHD4 locus via two clusters of ZNF410 binding motifs. Here, we uncover that ZNF410 controls chromatin accessibility and activity of the two CHD4 enhancer regions. Combining CRISPR/Cas9 genomic deletion with CRISPRi approaches, we demonstrate that both enhancer regions additively contribute to CHD4 gene expression. Mutations of the di-adenine nucleotides within the ZNF410 binding motif fully disrupt ZNF410-DNA interaction. Luciferase assays, ChIP-seq, and ATAC-seq studies reveal that the homotypic clustered motifs within the CHD4 enhancers are recognized by ZNF410 in a collaborative fashion. Especially, the three ZNF410 motifs located in the 3 end of the distal enhancer act as "switch motifs" to control the chromatin accessibility and activity of the whole distal enhancer region. Together, our findings expose a complex functional hierarchy of motifs, where clustered motifs bound by the same transcription factor cooperate to fine-tune the expression of target gene. HighlightsO_LIZNF410 maintains the accessibility of the CHD4 enhancer regions C_LIO_LIThe two enhancer elements additively modulate CHD4 gene expression C_LIO_LIThe dinucleotide "AA" is the key bases within ZNF410 binding motif C_LIO_LIZNF410 binds to homotypic clustered motifs in a cooperative manner C_LI

molecular biology↗

bioRxiv2022

Sensory uncertainty punctuates motor learning independently of movement error when both feedforward and feedback control processes are engaged

Integrating sensory information during movement and adapting motor plans over successive movements are both essential for accurate, flexible motor behavior. When an ongoing movement is off target, feedback control mechanisms update the descending motor commands to counter the sensed error. Over longer timescales, errors induce adaptation in feedforward planning so that future movements become more accurate and require less online adjustment from feedback control processes. Both the degree to which sensory feedback is integrated into an ongoing movement and the degree to which movement errors drive adaptive changes in feedforward motor plans have been shown to scale inversely with sensory uncertainty. However, since they have only been studied in isolation of each other, little is know about how they respond to sensory uncertainty in real-world movement contexts where they co-occur. Here, we show that sensory uncertainty impacts feedforward adaptation of reaching movements differently when feedback integration is present versus when it is absent. In particular, participants gradually adjust their movements from trial-to-trial in a manner that is well characterised by a slow and consistent envelope of error reduction. Riding on top of this slow envelope, participants display large and abrupt changes in their initial movement vectors that clearly correlate with the degree of sensory uncertainty present on the previous trial. However, these abrupt changes are insensitive to the magnitude and direction of the sensed movement error. These results prompt important questions for current models of sensorimotor learning under uncertainty and open up exciting new avenues for future exploration. Author SummaryA large body of literature shows that sensory uncertainty inversely scales the degree of error-driven corrections made to motor plans from one trial to the next. However, by limiting sensory feedback to the endpoint of movements, these studies prevent corrections from taking place during the movement. Here, we show that when such corrections are promoted, sensory uncertainty punctuates between-trial movement corrections with abrupt changes that closely track the degree of sensory uncertainty but are insensitive to the magnitude and direction of movement error. This result marks a significant departure from existing findings and opens up new paths for future exploration.

animal behavior and cognition↗

bioRxiv2021

A proteomics database for CNS proteins of the great pond snail Lymnaea stagnalis

Applications of key technologies in biomedical research, such as qRT-PCR or LC-MS based proteomics, are generating large biological (-omics) data sets which are useful for the identification and quantification of biomarkers involved in molecular mechanisms of any research area of interest. Genome, transcriptome and proteome databases are already available for a number of model organisms including vertebrates and invertebrates. However, there is insufficient information available for protein sequences of certain invertebrates, such as the great pond snail Lymnaea stagnalis, a model organism that has been used highly successfully in elucidating evolutionarily conserved mechanisms of learning and memory, ageing and age-related as well as amyloid-{beta} induced memory decline. In this investigation, we used a bioinformatics approach to designing and benchmarking a comprehensive CNS proteomics database (LymCNS-PDB) for the identification of proteins from the Central Nervous System (CNS) of Lymnaea stagnalis by LC-MS based proteomics. LymCNS-PDB was created by using the Trinity TransDecoder bioinformatics tool to translate amino acid sequences from mRNA transcript assemblies obtained from an existing published Lymnaea stagnalis transcriptomics database. The blast-style MMSeq2 software was used to match all translated sequences to sequences for molluscan proteins (including Lymnaea stagnalis and other molluscs) available from UniProtKB. LymCNS-PDB, which contains 9,628 identified matched proteins, was then benchmarked by performing LC-MS based proteomics analysis with proteins isolated from the CNS of Lymnaea stagnalis. MS/MS analysis using the LymCNS-PDB database led to the identification of 3,810 proteins while only 982 proteins were identified by using a non-specific Molluscan database. LymCNS-PDB provides a valuable tool that will enable us to perform quantitative proteomics analysis to identify a plethora of protein interactomes involved in several CNS functions in Lymnaea stagnalis including learning and memory, aging-related memory decline and others.

bioinformatics↗

bioRxiv2020

ZNF410 uniquely activates the NuRD component CHD4 to silence fetal hemoglobin expression

Metazoan transcription factors typically regulate large numbers of genes. Here we identify via a CRISPR-Cas9 genetic screen ZNF410, a pentadactyl DNA binding protein that in human erythroid cells directly and measurably activates only one gene, the NuRD component CHD4. Specificity is conveyed by two highly evolutionarily conserved clusters of ZNF410 binding sites near the CHD4 gene with no counterparts elsewhere in the genome. Loss of ZNF410 in adult-type human erythroid cell culture systems and xenotransplant settings diminishes CHD4 levels and derepresses the fetal hemoglobin genes. While previously known to be silenced by CHD4, the fetal globin genes are exposed here as among the most sensitive to reduced CHD4 levels. In vitro DNA binding assays and crystallographic studies reveal the ZNF410-DNA binding mode. ZNF410 is a remarkably selective transcriptional activator in erythroid cells whose perturbation might offer new therapeutic opportunities in the treatment of hemoglobinopathies. HighlightsO_LIA CRISPR screen implicates ZNF410 in fetal globin gene repression C_LIO_LIThe CHD4 gene is the singular direct ZNF410 target in erythroid cells C_LIO_LIThe fetal globin genes are exquisitely sensitive to CHD4 levels C_LIO_LIFive C2H2 zinc fingers of ZNF410 recognize the major groove of a 14 base pair sequence C_LI

molecular biology↗

bioRxiv2018

A central control circuit for encoding perceived food value

Hunger state can substantially alter the perceived value of a stimulus, even to the extent that the same sensory cue can trigger antagonistic behaviors. How the nervous system uses such graded perceptual shifts to select between opposed motor patterns remains enigmatic. Here we challenged food-deprived and satiated Lymnaea to choose between two mutually exclusive behaviors, ingestion or egestion, produced by the same feeding central pattern generator. Decoding the underlying neural circuit reveals that the activity of central dopaminergic interneurons defines hunger state and drives network reconfiguration, biasing satiated animals towards the rejection of stimuli deemed palatable by food-deprived ones. By blocking the action of these neurons, satiated animals can be reconfigured to exhibit a hungry animal phenotype. This centralized mechanism occurs in the complete absence of sensory retuning and generalizes across different sensory modalities, allowing food-deprived animals to increase their perception of food value in a stimulus-independent manner to maximize potential calorific intake.

neuroscience↗