Biology subjects

Kim, T.

Publications and source records attributed to Kim, T..

At least 127 records · Page 7Linked to original sources

bioRxiv2021

A genome-wide genetic screen uncovers novel determinants of human pigmentation

The skin color is one of the most diverse human traits and is determined by the quantity, type and distribution of melanin. Here, we leverage light scattering properties of melanin to conduct a genome-wide CRISPR-Cas9 screen for novel regulators of melanogenesis. We identify functionally diverse genes converging on melanosome biogenesis, endosomal transport and transcriptional/posttranscriptional gene regulation, most of which represent novel associations with pigmentation. A survey of transcriptomes from diversely pigmented individuals reveals that the majority of genes discovered in our screen are upregulated in dark skin melanocytes, in agreement with their melanin-promoting function and potential contribution to skin color variation. This association is further buttressed by the significant skin color heritability enrichment in the vicinity of these genes. Taken together, our study presents a novel approach to assay pigmentation and uncovers a plethora of melanogenesis regulators, with broad implications for human variation, cell biology and medicine. One Sentence SummaryGenetic screen uncovers genes involved in human melanogenesis, many of which are differentially expressed in individuals of diverse skin color.

cell biology↗

bioRxiv2021

SL-Cloud: A Computational Resource to Support Synthetic Lethal Interaction Discovery

Synthetic lethal interactions (SLIs), genetic interactions in which the simultaneous inactivation of two genes leads to a lethal phenotype, are promising targets for therapeutic intervention in cancer, as exemplified by the recent success of PARP inhibitors in treating BRCA1/2-deficient tumors. We present SL-Cloud, an integrated resource and framework to facilitate the prediction of context-specific SLIs by using cloud-based technologies. This resource addresses two main challenges related to SLI inference: the need to wrangle and preprocess large multi-omic datasets and the multiple comparable prediction approaches available. We demonstrate the utility of this resource by using a set of DNA damage repair genes as the basis for predicting potential SLI partners, using multiple computational strategies. Context-specific synthetic lethality potential can also be compared using the framework. We demonstrate various use cases for our cloud-based computational resource and the utility of this approach for customizable and extensible computational inference of SLIs.

bioinformatics↗

bioRxiv2021

Interrogation of the integrated mobile genetic elements in gut-associated Bacteroidaceae with a consensus prediction approach

Exploration of mobile genetic element (MGE) diversity and relatedness is vital to understanding microbial communities, especially the gut microbiome, where the mobilization of antibiotic resistance and pathogenicity genes has important clinical consequences. Current MGE prediction tools are biased toward elements similar to previously-identified MGEs, especially tailed phages of proteobacterial hosts. Further, there is a need for methods to examine relatedness and gene sharing among MGEs. We present VICSIN, a consensus approach for MGE prediction and clustering of predictions to provide classification. Testing of VICSIN on datasets of Pseudomonas aeruginosa and Bacteroides fragilis genomes suggests VICSIN is the optimal approach to predict integrated MGEs from poorly-explored host taxa, because of its increased sensitivity and accuracy. We applied VICSIN to a dataset of gut-associated Bacteroidaceae genomes, identifying 816 integrated MGEs falling into 95 clusters, most of which are novel. VICSINs fast and simple network-building scheme revealed a high degree of gene sharing within and between related MGE clusters. Shared gene functions across MGEs include core mobilization functions and accessory gene content, such as type VI secretion systems and antibiotic resistance genes. The MGEs identified here encode a large portion of unknown gene content, emphasizing the fact that the full diversity of MGEs and the factors they encode remain very poorly understood. Together, this work motivates more exploration of the gut mobilome, which is likely one of the most potent drivers of microbial evolution in the human microbiome. IMPORTANCEMobile genetic elements (MGEs), including phages and integrative and conjugative elements (ICEs), drive the diversity and function of microbial communities through horizontal gene transfer. Current tools to predict MGEs in genomic sequence data are highly focused on phages, and are biased against the discovery of novel MGEs. We present VICSIN, a consensus approach to MGE prediction that is able to find a diversity of MGEs, particularly in poorly-understood bacterial taxa. By applying VICSIN to a large database of diverse Bacteroidaceae genomes, we have been able to get a distinct view of the gut mobilome, extending beyond the phageome. These novel MGEs belong to related groups, sharing a significant amount of functional gene content within and between groups, supporting a mosaic model of evolution for ICEs. Understanding how phages evolve in Bacteroidaceae hosts, however, remains elusive and highlights the need for more experimental research.

microbiology↗

bioRxiv2021

TRIB1 regulates tumour growth via controlling tumour-associated macrophage phenotypes and is associated with breast cancer survival and treatment response

Molecular mechanisms that regulate tumour-associated macrophage (TAM) phenotype and function are incompletely understood. Here, we show that the pseudokinase TRIB1 is highly expressed by TAMs in breast cancer and that its expression correlates with response to chemotherapy and patient survival. We used immune-competent murine models of breast cancer to characterise the consequences of altered (reduced or elevated) myeloid Trib1 expression on tumour growth and composition of stromal immune cells. We found that both overexpression and knockout of myeloid Trib1 promote tumour growth, albeit through distinct molecular mechanisms. Myeloid Trib1 deficiency resulted in an early accelearation of tumour growth, paired with a selective reduction in perivascular macrophage numbers in vivo and enhanced oncogenic cytokine expression in vitro. In contrast, elevated levels of Trib1 in myeloid cells led to an increase in mammary tumour volume at late stages, together with a reduction of NOS2 expressing macrophages and an overall reduction of these cells in hypoxic tumour regions. In addition, we show that myeloid Trib1 is a previously unknown, negative regulator of the anti-tumour cytokine IL-15 and that increased expression of myeloid Trib1 leads to reduced IL-15 levels in mammary tumours, with a consequent reduction in the number of T-cells, that are key to anti-tumour immune responses. Together, these results define the different roles of TRIB1 in human breast cancer and provide a mechanistic understanding for the importance of myeloid TRIB1 expression levels in the development of this disease. SignificanceTRIB1 expression is strongly associated with response to chemotherapy in breast cancer patients with aggressive tumours. This protein is also highly expressed by tumour-associated macrophages. Thus, we used myeloid-specific alterations of Trib1 expression in mice (Trib1mKO and Trib1mTg), and characterised consequent changes in the growth rate and tumour microenvironment of mammary tumours. Both Trib1mKO and Trib1mTg enhanced tumour growth, but at different stages of tumour growth and via distinct mechanisms. Trib1mKO significantly increased the expression of oncogenic cytokines, such as IL6, IL10, CCL20, PD-L1, and VEGF. In contrast, Trib1mTg accelerated at the later stage of tumour growth via inhibition of hypoxic TAMs in the TME, as well as by reduced IL-15 expression thus leading to impaired naive and cytotoxic T cell infiltration. These data define TRIB1 as a potential novel marker of therapeutic responses in breast cancer, as well as a key mechanistic regulator of the anti-tumour cytokine, IL-15 in myeloid cells.

cancer biology↗

bioRxiv2021

RNA surveillance controls 3D genome structure via stable cohesin-chromosome interaction

The 3D architecture that the genome is folded into is regulated by CTCF, which determines domain borders, and cohesin, which generates interactions within domains. However, organisms lacking CTCF have been reported to still have cohesin-mediated 3D structures with strong borders. How this can be achieved and precisely regulated are yet unknown. Using in situ Hi-C, we found that 3-end RNA processing factors coupled with proper transcription termination are a cis-acting determinant that regulates the localization and dynamics of cohesin on the chromosome arms. Loss of RNA processing factors, including nuclear exosome and Pfs2, destabilizes cohesin from the 3-ends of convergent genes and results in decreased cohesin-mediated domain boundaries. We observed the co-localization between Rad21 and a wide range of 3end RNA processing/termination factors. Further, deletion of Rrp6 leads to cohesin redistribution to facultative heterochromatin, resulting in improper domain boundaries. Importantly, we observed that knockdown of Rrp6Exosc10 caused a defect in cohesin binding and loss of local topologically associating domains (TADs) interactions in mouse embryonic stem cells. Based on these findings, we propose a novel function of the RNA surveillance pathway in 3D genome organization via cohesin complex, which provides the molecular basis underlying the dynamics of cohesin function.

genomics↗

bioRxiv2021

The chromatin remodeler Ino80 mediates alternative RNAPII pausing site determination

Promoter-proximal pausing of RNA polymerase II (RNAPII) is a critical step in early transcription elongation for the precise regulation of gene expression. Here, we provide evidence of promoter-proximal pausing-like distributions of RNAPII in S. cerevisiae. We found that genes bearing an alternative pausing site utilize Ino80p to properly localize RNAPII pausing at the first pausing site and to suppress the accumulation of RNAPII at the second pausing site, which is tightly associated with the +1 nucleosome. This alternative pausing site determination was dependent on the remodeling activity of Ino80p to modulate the +1 nucleosome position and might be controlled synergistically with Spt4p. Furthermore, we observed similar Ino80-dependent RNAPII pausing in mouse embryonic stem cells (mESCs). Based on our collective results, we hypothesize that the chromatin remodeler Ino80 plays a highly conserved role in regulating early RNAPII elongation to establish intact pausing.

molecular biology↗

bioRxiv2021

Antiviral effect of a nucleic acid hydrolyzing scFv against oseltamivir resistant influenza A virus

Influenza viral genome is frequently mutated due to antigenic shift and drift, and therefore the existing antiviral drugs have been suffered from low efficacy against the viruses. Here we report an innovative strategy for treating influenza Type A (IAV) infection by 3D8 single chain variable fragment (scFv) showing intrinsic viral RNA hydrolyzing activity, cell penetration activity and the epidermal cell penetration ability. In this study, we first analyzed antiviral activity directed by 3D8 scFv to three different strains, two oseltamivir-sensitive (A/PuertoRico/8/1934, A/X-31) and oseltamivir-resistant (A/Korea/2785/2009pdm) using cell culture models, suggesting that 3D8 scFv reduces viral genomic RNA. Moreover, we further addressed antiviral effect to analyze clinical outcomes in in vivo mice model. Intranasal administered 3D8 scFv rescued the mice challenged by oseltamivir resistant H1N1. Consistent results are observed through IHC pathology and molecular virological analysis. Taken together, these results demonstrate that 3D8 scFv has antiviral potential against a wide range of IAV.

microbiology↗

bioRxiv2021

The Relationship between Birth Timing, Circuit Wiring, and Physiological ResponseProperties of Cerebellar Granule Cells

Cerebellar granule cells (GrCs) are usually regarded as a uniform cell type that collectively expands the coding space of the cerebellum by integrating diverse combinations of mossy fiber inputs. Accordingly, stable molecularly or physiologically defined GrC subtypes within a single cerebellar region have not been reported. The only known cellular properties that distinguishes otherwise homogeneous GrCs is the correspondence between GrC birthtime and the depth of the molecular layer to which their axons (parallel fibers) project. To determine the role birth timing plays in GrC wiring and function, we developed genetic strategies to access early- and late-born GrCs. We initiated retrograde monosynaptic rabies virus tracing from control, early-born, and late-born GrCs, revealing the different patterns of mossy fiber input to GrCs in vermis lobule 6 and simplex, as well as to early- and late-born GrCs of vermis lobule 6: sensory and motor nuclei provide more input to early-born GrCs, while basal pontine and cerebellar nuclei provide more input to late-born GrCs. In vivo multi-depth 2-photon Ca2+ imaging of parallel fibers of early- and late-born GrCs revealed representations of diverse task variables and stimuli by both populations, with differences in the proportions of parallel fibers encoding movement, reward anticipation, and reward consumption. Our results suggest neither organized parallel processing nor completely random organization of mossy fiber[->]GrC circuitry, but instead a moderate influence of birth timing on GrC wiring and encoding. Our imaging data also suggest that GrCs can represent general aversiveness, in addition to recently described reward representations. Significance StatementCerebellar granule cells (GrCs) comprise the majority of all neurons in the mammalian brain and are usually regarded as a uniform cell type. However, the birth timing of an individual GrC dictates where its axon projects. Using viral-genetic techniques, we find that early- and late-born GrCs receive different proportions of inputs from the same set of input regions. Using in vivo multi-depth 2-photon Ca2+ imaging of axons of early- and late-born GrCs, we found that both populations represent diverse task variables and stimuli, with differences in the proportions of axons in encoding of a subset of movement and reward parameters. These results indicate that birth timing contributes to the input selection and physiological response properties of GrCs.

neuroscience↗

bioRxiv2020

hRUV: Hierarchical approach to removal of unwanted variation for large-scale metabolomics data

Liquid chromatography-mass spectrometry based metabolomics studies are increasingly applied to large population cohorts, running for several weeks to months, even extending to years of data acquisition. This inevitably introduces unwanted intra- and inter-batch variations over time that can overshadow true biological signals and thus hinder potential biological discoveries. To date, normalization approaches have struggled to mitigate the variability introduced by technical factors whilst preserving biological variance, especially for protracted acquisitions. Here, we designed an experiment with an arrangement to embed biological sample replicates to measure the variance within and between batches for over 1,000 human plasma samples run over 44 days. We integrate these replicates in a novel workflow to remove unwanted variation in a hierarchical structure (hRUV) by progressively merging the adjustments in neighbouring batches. We demonstrate significant improvement of hRUV over existing methods in maintaining biological signals whilst removing unwanted variation for large scale metabolomics studies.

bioinformatics↗

bioRxiv2020

Naa12 rescues embryonic lethality in Naa10-Deficient Mice in the amino-terminal acetylation pathway

Amino-terminal acetylation is catalyzed by a set of N-terminal acetyltransferases (NATs). The NatA complex (including X-linked Naa10 and Naa15) is the major acetyltransferase, with 40-50% of all mammalian proteins being potential substrates. However, the overall role of amino-terminal acetylation on a whole-organism level is poorly understood, particularly in mammals. Male mice lacking Naa10 show no globally apparent in vivo amino-terminal acetylation impairment and do not exhibit complete embryonic lethality. Rather Naa10 nulls display increased neonatal lethality, and the majority of surviving undersized mutants exhibit a combination of hydrocephaly, cardiac defects, homeotic anterior transformation, piebaldism and urogenital anomalies. Naa12 is a previously unannotated Naa10-like paralogue with NAT activity that genetically compensates for Naa10. Mice deficient for Naa12 have no apparent phenotype, whereas mice deficient for Naa10 and Naa12 display embryonic lethality. The discovery of Naa12 adds to the currently known machinery involved in amino-terminal acetylation in mice.

developmental biology↗

bioRxiv2020

Rapid assembly of a polar network architecture by formins downstream of RhoA pulses drives efficient cortical actomyosin contractility

SO_SCPLOWUMMARYC_SCPLOWActin network architecture and dynamics play a central role in cell contractility and tissue morphogenesis. Pulsed contractions driven by RhoA represent a generic mode of actomyosin contractility, but the mechanisms underlying (1) how their specific architecture emerges, and (2) how this architecture supports the contractile function of the network, remain unclear. Here, we combine quantitative microscopy, single-molecule imaging, numerical simulations and simple mathematical modelling, to explore the dynamic network architecture underlying pulsed contraction. We show that during pulsed contractions, two subpopulations of formins are recruited by RhoA from the cytoplasm and bind to the cell surface in the early C. elegans embryo: recruited formins, a functionally inactive population, and elongating formins, which actively participate in actin filaments elongation. Focusing on formin dynamics during pulses, we show that minority elongating formins precede recruited formins, a kinetic dynamics compatible with formins capturing and rapidly saturating barbed ends available for filament elongation. We then show that these elongating formins assemble a polar network of actin, with barbed ends pointing out of the pulse, pointing to a kinetic rather than mechanical control of network architecture. Finally, our numerical simulations demonstrate that this geometry favors rapid network contraction. Our results thus show that formins saturate available actin filaments barbed ends and convert a local, biochemical gradient of RhoA activity into a polar network architecture, thereby driving rapid and efficient network contractility, an important evolutionary feature in a metazoan with a rapid embryonic cell cycles. HO_SCPLOWIGHLIGHTSC_SCPLOWO_LIThe formin CYK-1 drives actin network assembly during RhoA-driven pulses C_LIO_LIThe process is extremely rapid, with a formin-based actin elongation rate higher than 1.3 m{middle dot}s-1 C_LIO_LIA barbed-end saturation mechanism allows for responsive F-actin assembly C_LIO_LIRapid and responsive F-actin elongation results in the assembly of aster-like polar actin networks C_LIO_LINumerical simulations show network polarity drives very efficient network contractility C_LI

cell biology↗

bioRxiv2020

CTCF-mediated Genomic Effects of BART Region on Epstein-Barr Virus Chromatin 3D Structure in Gastric Carcinoma Cells

EBV latent infection in gastric carcinoma (GC) cells is characterized by distinct viral gene expression programs. CCCTC-binding factor (CTCF) is a chromatin structural factor that has been involved in coordinated chromatin interactions between multiple loci of Epstein-Barr virus (EBV) genes. Here, we investigate the role of CTCF in regulating EBV gene expression and chromosome conformation in model of EBV-associated gastric carcinoma (EBVaGC). Chromatin immunoprecipitation followed by sequencing (ChIP-seq) against CTCF revealed 16 CTCF binding sites (BS) in EBV genome of EBVaGC, SNU719 cells. Among the CTCF BSs, one site named as BARTp (BamHI A right transcript promoter) CTCF BS is located at upstream of 11.8-kb BART region (EBV genome: 139724-151554) and was not yet defined its biological functions in EBV life cycle. EBV BART encodes a complex miRNA cluster of highly spliced transcripts that is implicated in EBV cancer pathogenesis. This present study investigated the functional role of the CTCF binding site at BARTp (BARTp CTCF BS) in regulating EBV gene transcription and EBV three-dimensional (3D) genome structure as DNA loop maker. Circular chromatin confirmation capture (4C)-seq and chromatin confirmation capture (3C)-semi-quantitative(sq)PCR assays using SNU719 cells revealed that BARTp CTCF BS interacts with CTCF BSs of LMP1/2, Cp/OriP, and Qp in EBV genome. We generated mutations in BARTp CTCF BS (S13) in bacmids with (BART+) or without (BART-) the 11.8-kb BART transcript unit (B(+/-)). ChIP-qPCR assay demonstrated that CTCF binding was ablated from BARTp in EBV B(+/-) S13- genomes (mutant S13), elevated at several other sites such as LMP1, OriP, and Cp in EBV B(-) (BART-) S13- genome, and decreased at the same sites in EBV B(+) S13- genome. Infection assay showed that BARTp CTCF BS mutation reduced infectivity, while BART transcript deletion has no detectable effects. Gene expression tests showed that EBNA1 was highly downregulated in B(+/-) S13- EBVs related to B(+/-) S13+ EBVs (wild-type S13). LMP1 and BZLF1 were more downregulated in B(-) S13- EBV than B(+) S13- EBV. Taken together, these findings suggest that the CTCF binding and BART region contribute to EBV 3D genome structure via a cluster of DNA loops formed by BARTp CTCF BS (S13) and are important for coordinated viral gene expression and EBV infectivity.

microbiology↗

bioRxiv2020

Clonal dynamics in early human embryogenesis inferred from somatic mutation

The trillions of cells that constitute the human body are developed from a fertilized egg through embryogenesis. However, cellular dynamics and developmental outcomes of embryonic cells in humans remain to be largely unknown due to the technical and ethical challenges. Here, we explored whole-genomes of 334 single-cell expanded clones and targeted deep-sequences of 379 bulk tissues obtained from various anatomical locations from seven individuals. Using the discovered 1,688,652 somatic mutations as an intrinsic barcode, we reconstructed cellular phylogenetic trees that provide novel insights into early human embryogenesis. Our findings suggest (1) endogenous mutational rate that is higher in the first cell division of life but decreases to ~1 per cell per cell division later in life, (2) universal unequal contribution of early cells into embryo proper resulting from early cellular bottlenecks that stochastically separate epiblasts from embryonic cells (3) uneven differential outcomes of early cells into three germ layers, left-right and cranio-caudal tissues, (4) emergence of a few ancestral cells that will contribute to the substantial fraction of adult blood cells, and (5) presence of mitochondrial DNA heteroplasmy in the fertilized egg. Our approach additionally provides insights into the age-related mutational processes including UV-mediated mutagenesis and loss of chromosome X or Y in normal somatic cells. Taken together, this study scrutinized somatic mosaicism, clonal architecture, and cellular dynamics in human embryogenesis at an unprecedented level and provides a foundation for future studies to complete cellular phylogenies in human embryogenesis.

genomics↗

bioRxiv2020

The nature of mitotic forces in epithelial monolayers

Epithelial cells undergo striking morphological changes during mitosis to ensure proper segregation of genetic and cytoplasmic materials. These morphological changes occur despite dividing cells being mechanically restricted by neighboring cells, indicating the need for extracellular force generation. While forces generated during mitotic rounding are well understood, forces generated after rounding remain unknown. Here, we identify two distinct stages of mitotic force generation that follow rounding: (1) protrusive forces along the mitotic axis that drive mitotic elongation, and (2) outward forces that facilitate post-mitotic re-spreading. Cytokinetic ring contraction of the mitotic cell, but not activity of neighboring cells, generates extracellular forces that propel mitotic elongation and also contribute to chromosome separation. Forces from mitotic elongation are observed in epithelia across many model organisms. Thus, forces from mitotic elongation represent a universal mechanism that powers mitosis in confining epithelia.

cell biology↗

bioRxiv2020

Integrative Analysis Reveals Histone Demethylase LSD1/KDM1A Associates with RNA Polymerase II Pausing

RNA polymerase II (RNAPII) pausing at gene promoters is a rate-limiting step in transcription regulation. Previous studies have elucidated the coordinated actions of pausing and releasing factors that collectively modulate RNAPII pausing. In general, the involvement of chromatin remodellers in RNAPII pausing has not been well documented. Whilst LSD1 is well-known for its role in decommissioning enhancers during ESC differentiation, its role at the promoters of genes remains poorly understood despite their widespread presence at these sites. Here, we report that LSD1 is associated with RNAPII pausing at the promoter-proximal region of genes in mouse embryonic stem cells (ESCs). We demonstrate that the knockdown of LSD1 preferentially affects genes with higher RNAPII pausing than those with lower pausing and, importantly, show that the co-localization of LSD1 and MYC, a factor known to regulate pause-release, is associated with the enrichment of other RNAPII pausing factors compared to their independent counterparts. Moreover, we found that genes co-occupied by LSD1 and MYC are significantly enriched for housekeeping genes that are involved in metabolic processes and globally depleted of transcription factors compared to those bound only by LSD1. These findings reveal a pleiotropic role of LSD1 in regulating housekeeping program besides its previously known role in regulating cell identity programs. Our integrative analysis presents evidence for a previously unanticipated role of LSD1 in RNAPII pausing through its association with pause release factors in modulating cell-type specific and cell-type invariant genes.

systems biology↗

bioRxiv2020

PhosR enables processing and functional analysis of phosphoproteomic data

Mass spectrometry (MS)-based phosphoproteomics has revolutionised our ability to profile phosphorylation-based signalling in cells and tissues on a global scale. To infer the action of kinases and signalling pathways in phosphoproteomic experiments, we present PhosR, a set of tools and methodologies implemented in a suite of R packages facilitating comprehensive analysis of phosphoproteomic data. By applying PhosR to both published and new phosphoproteomic datasets, we demonstrate capabilities in data imputation and normalisation using a novel set of stably phosphorylated sites, and in functional analysis for inferring active kinases and signalling pathways. In particular, we introduce a signalome construction method for identifying a collection of signalling modules to summarise and visualise the interaction of kinases and their collective actions on signal transduction. Together, our data and findings demonstrate the utility of PhosR in processing and generating novel biological knowledge from MS-based phosphoproteomic data.

systems biology↗

bioRxiv2020

Scalable recombinase-based gene expression cascades

Temporal modulation of multiple genes underlies sophisticated biological phenomena. However, there are few scalable and generalizable gene circuit architectures for the programming of sequential genetic perturbations. We describe a modular recombinase-based gene circuit architecture, comprising tandem gene perturbation cassettes (GPCs), that enables the sequential expression of multiple genes in a defined temporal order by alternating treatment with just two orthogonal ligands. We used tandem GPCs to sequentially express single-guide RNAs to encode transcriptional cascades and trigger the sequential accumulation of mutations. We built an all-in-one gene circuit that sequentially edits genomic loci, synchronizes cells at a specific stage within a gene expression cascade, and deletes itself for safety. Tandem GPCs offer a multi-tiered cellular programming tool for modeling multi-stage genetic changes, such as tumorigenesis and cellular differentiation.Competing Interest StatementThe authors have declared no competing interest.View Full Text

synthetic biology↗

bioRxiv2020

Demystifying "drop-outs" in single cell UMI data

Analysis of scRNA-seq data has been challenging particularly because of excessive zeros observed in UMI counts. Prevalent opinions are that many of the detected zeros are "drop-outs" that occur during experiments and that those zeros should be accounted for through procedures such as normalization, variance stabilization, and imputation. Here, we extensively analyze publicly available UMI datasets and challenge the existing scRNA-seq workflows. Our results strongly suggest that resolving cell-type heterogeneity should be the foremost step of the scRNA-seq analysis pipeline because once cell-type heterogeneity is resolved, "drop-outs" disappear. Additionally, we show that the simplest parametric count model, Poisson, is sufficient to fully leverage the biological information contained in the UMI data, thus offering a more optimistic view of the data analysis. However, if the cell-type heterogeneity is not appropriately taken into account, pre-processing such as normalization or imputation becomes inappropriate and can introduce unwanted noise. Inspired by these analyses, we propose a zero inflation test that can select gene features contributing to cell-type heterogeneity. We integrate feature selection and clustering into iterative pre-processing in our novel, efficient, and straightforward framework for UMI analysis, HIPPO (Heterogeneity Inspired Pre-Processing tOol). HIPPO leads to downstream analysis with much better interpretability than alternatives in our comparative studies.

genomics↗