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Biology subjects

Guo, J. K.

Publications and source records attributed to Guo, J. K..

6 recordsLinked to original sources

Failing to account for RNA quantity inflates background and leads to the misleading appearance that PRC2 and GFP bind to RNA in vivo

We recently published biochemical and quantitative evidence that challenges the widespread claims that PRC2 binds directly to many RNAs in vivo. A recent preprint performs a re-analysis of some of our data using a different metric and claims to identify contradictory results - that PRC2 binds to more RNAs than the well-characterized PTBP1 and SAF-A RNA-binding proteins. The preprint also reports other counterintuitive observations, including that PRC2, and all proteins examined, bind to RNAs that do not exist within the same cell and therefore could not interact in vivo nor could they be UV-crosslinked. Because these observations are incongruent with orthogonal, non-PCR based, measurements as well as fundamental RNA biology, we explored why their analysis would lead to these unexpected observations. After carefully examining the methods used and regenerating the reported results, we found a very simple explanation for these discrepancies: the authors effectively ignore the vast majority of RNAs in the sample. Here we show that this failure to properly account for the total RNA in each sample leads to inaccurate estimates of the true proportions of each RNA in the sample and therefore the enrichment calculated. We find that the number of RNA reads discarded is dependent on the RNA binding properties of the protein and therefore dramatically inflates background signals (e.g., RNA detected with GFP) while deflating specific signals (e.g., RNA detected with PTBP1). Importantly, we show that this issue alone explains the discrepancy between their observations and our previously reported results. The fact that PRC2 binding can only be observed when analyzed in this way further reinforces the fundamental point of our original paper: the existing evidence in support of direct PRC2-RNA binding requires critical re-evaluation.

bioinformatics↗

Intravital imaging reveals glucose-dependent cilia movement in pancreatic islets in vivo

Pancreatic islet cells harbor primary cilia, small sensory organelles that detect environmental changes to regulate hormone secretion and intercellular communication. While the sensory and signaling capacity of primary cilia are well-appreciated, it is less recognized that these organelles also possess active motility, including in dense multicellular tissues such as the pancreatic islet. In this manuscript, we use transgenic cilia reporter mice and an intravital imaging approach to quantitate primary cilia dynamics as it occurs in live mouse pancreatic islets. We validate this imaging workflow as suitable for studying islet cilia motion in real time in vivo and demonstrate that glucose stimulation corresponds to a change in cilia motility, which may be a physiologic measure of nutrient-dependent fluxes in islet cell function.

cell biology↗

ChIP-DIP: A multiplexed method for mapping hundreds of proteins to DNA uncovers diverse regulatory elements controlling gene expression

Gene expression is controlled by the dynamic localization of thousands of distinct regulatory proteins to precise regions of DNA. Understanding this cell-type specific process has been a goal of molecular biology for decades yet remains challenging because most current DNA-protein mapping methods study one protein at a time. To overcome this, we developed ChIP-DIP (ChIP Done In Parallel), a split-pool based method that enables simultaneous, genome-wide mapping of hundreds of diverse regulatory proteins in a single experiment. We demonstrate that ChIP-DIP generates highly accurate maps for all classes of DNA-associated proteins, including histone modifications, chromatin regulators, transcription factors, and RNA Polymerases. Using these data, we explore quantitative combinations of protein localization on genomic DNA to define distinct classes of regulatory elements and their functional activity. Our data demonstrate that ChIP-DIP enables the generation of consortium level, context-specific protein localization maps within any molecular biology lab.

genomics↗

SPIDR: a highly multiplexed method for mapping RNA-protein interactions uncovers a potential mechanism for selective translational suppression upon cellular stress

RNA binding proteins (RBPs) play crucial roles in regulating every stage of the mRNA life cycle and mediating non-coding RNA functions. Despite their importance, the specific roles of most RBPs remain unexplored because we do not know what specific RNAs most RBPs bind. Current methods, such as crosslinking and immunoprecipitation followed by sequencing (CLIP-seq), have expanded our knowledge of RBP-RNA interactions but are generally limited by their ability to map only one RBP at a time. To address this limitation, we developed SPIDR (Split and Pool Identification of RBP targets), a massively multiplexed method to simultaneously profile global RNA binding sites of dozens to hundreds of RBPs in a single experiment. SPIDR employs split-pool barcoding coupled with antibody-bead barcoding to increase the throughput of current CLIP methods by two orders of magnitude. SPIDR reliably identifies precise, single-nucleotide RNA binding sites for diverse classes of RBPs simultaneously. Using SPIDR, we explored changes in RBP binding upon mTOR inhibition and identified that 4EBP1 acts as a dynamic RBP that selectively binds to 5-untranslated regions of specific translationally repressed mRNAs only upon mTOR inhibition. This observation provides a potential mechanism to explain the specificity of translational regulation controlled by mTOR signaling. SPIDR has the potential to revolutionize our understanding of RNA biology and both transcriptional and post-transcriptional gene regulation by enabling rapid, de novo discovery of RNA-protein interactions at an unprecedented scale.

systems biology↗

A sparse set of spikes corresponding to reliable correlations is highly informative of visual stimulus on single trials

Spike trains in cortical neuronal populations vary in number and timing trial-to-trial, rendering a viable single trial coding scheme for sensory information elusive. Correlations between pairs of neocortical neurons can be segmented into either sensory or noise according to their stimulus specificity. Here we show that pairs of spikes, corresponding to reliable sensory correlations in imaged populations in layer 2/3 of mouse visual cortex are particularly informative of visual stimuli. This set of spikes is sparse and exhibits comparable levels of trial-to-trial variance relative to the full spike train. Despite this, correspondence of pairs of spikes to a specific set of sensory correlations identifies spikes that carry more information per spike about the visual stimulus than the full set or any other matched set of spikes. Moreover, this sparse subset is more accurately decoded, regardless of the decoding algorithm employed. Our findings suggest that consistent pairwise correlations between neurons, rather than first-order statistical features of spike trains, may be an organizational principle of a single trial sensory coding scheme.

neuroscience↗

Structural modularity of the XIST ribonucleoprotein complex

Long noncoding RNAs are thought to regulate gene expression by organizing protein complexes through unclear mechanisms. XIST controls the inactivation of an entire X chromosome in female placental mammals. Here we develop and integrate several orthogonal structure-interaction methods to demonstrate that XIST RNA-protein complex folds into an evolutionarily conserved modular architecture. Chimeric RNAs and clustered protein binding in fRIP and eCLIP experiments align with long-range RNA secondary structure, revealing discrete XIST domains that interact with distinct sets of effector proteins. CRISPR-Cas9-mediated permutation of the Xist A-repeat location shows that A-repeat serves as a nucleation center for multiple Xist-associated proteins and m6A modification. Thus modular architecture plays an essential role, in addition to sequence motifs, in determining the specificity of RBP binding and m6A modification. Together, this work builds a comprehensive structure-function model for the XIST RNA-protein complex, and suggests a general strategy for mechanistic studies of large ribonucleoprotein assemblies.

molecular biology↗