The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands-or even millions-of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.

Hepatitis C is a major public health problem in the United States and worldwide. Outbreaks of hepatitis C virus (HCV) infections are associated with unsafe injection practices, drug diversion, and other exposures to blood, being difficult to detect and investigate. Here, we developed and validated a simple approach for molecular detection of HCV transmissions in outbreak settings. We obtained sequences from the HCV hypervariable region 1 (HVR1) using End-Point Limiting-Dilution (EPLD) from 127 cases involved in 32 epidemiologically defined HCV outbreaks and 193 individuals with unrelated HCV strains. We compared several types of genetic distances and calculated a threshold using minimal Hamming distances that identifies transmission clusters in all tested outbreaks with 100% accuracy. The approach was also validated on sequences from 239 individuals obtained using next-generation sequencing, showing the same accuracy as EPLD. In average, nucleotide diversity of the intra-host population was 6.2-times greater in the source than in any incident case, allowing the correct detection of transmission direction in 8 outbreaks for which source cases were known. A simple and accurate distance-based approach for detecting HCV transmissions developed here streamlines molecular investigation of outbreaks, thus improving the public health capacity for rapid and effective control of hepatitis C.

No abstract

Hepatitis C virus (HCV) has the propensity to cause chronic infection. Continuous immune escape has been proposed as a mechanism of intrahost viral evolution contributing to HCV persistence. Although the pronounced genetic diversity of intrahost HCV populations supports this hypothesis, recent observations of long-term persistence of individual HCV variants, negative selection increase, and complex dynamics of viral subpopulations during infection as well as broad cross-immunoreactivity (CR) among variants are inconsistent with the immune-escape hypothesis. Here, we present a mathematical model of intrahost viral population dynamics under the condition of a complex CR network (CRN) of viral variants and examine the contribution of CR to establishing persistent HCV infection. The model suggests a mechanism of viral adaptation by antigenic cooperation (AC), with immune responses against one variant protecting other variants. AC reduces the capacity of the host's immune system to neutralize certain viral variants. CRN structure determines specific roles for each viral variant in host adaptation, with variants eliciting broad-CR antibodies facilitating persistence of other variants immunoreacting with these antibodies. The proposed mechanism is supported by empirical observations of intrahost HCV evolution. Interference with AC is a potential strategy for interruption and prevention of chronic HCV infection.hepatitis C | viral quasispecies | cross-immunoreactivity | complex network | intrahost adaptation H epatitis C virus (HCV) causes chronic infection in ∼ 70% of infected people, who become at risk for developing severe liver diseases (1). The virus establishes chronic infection by using several molecular mechanisms for averting innate immunity and attenuating effectiveness of adaptive immune responses (2). HCV is one of the most heterogeneous viruses infecting humans and exists in each infected host as a population of genetically related variants (3, 4). Substantial heterogeneity and drastic changes in genetic composition of the intrahost HCV population observed during chronic infections have been interpreted as evidence of a continuous immune escape via random mutations, thereby generating increasing genetic diversity of viral populations in infected individuals (5-7).The observed cross-immunoreactivity (CR) of HCV variants from earlier stages of infection with antibodies (Abs) from later stages and ineffectiveness of Abs to immunoreact with variants from the same stage of infection (7) seemingly support the hypothesis of immune escape as a mechanism of intrahost evolution that contributes to establishment of persistent infections. However, several recent observations are incompatible with this hypothesis. First, the intrahost HIV population diversifies and diverts continuously from acute state to chronic infection until, at the onset of immunodeficiency, it starts losing heterogeneity and eventually stops diverting (8). Surprisingly, a similar temporal pattern of diversity and diversion was observed for intraho...

Supplementary data are available at Bioinformatics online.