COVID-19:

How We're Keeping You Safe | What Patients & Families Need to Know | Covid-19 Vaccines FAQs

Schedule an Appointment Directions International Sign Into MyChart Giving
Cincinnati Childrens
  • Patients and Family
    Patients and Family HomeSchedule an AppointmentServices and SpecialtiesFind a DoctorVisiting Cincinnati Children'sYour Child's Condition and Care
    Additional Resources
    Coronavirus ResourcesClinical Trials/Research StudiesPatient ResourcesSpecial Needs ResourcesKids Can
  • Healthcare Professionals
    Healthcare Professionals HomeServices and SpecialtiesClinical TrialsFind a DoctorRefer a Patient
    Additional Resources
    Coronavirus ResourcesBrowse CareersPatient ResourcesProvider ResourcesContinuing Professional EducationClinical Training ProgramsGraduate Medical EducationClinical LaboratoriesNursing
  • Researchers
    Research HomeFind a ResearcherDivisions and CentersEducation and Training
    Additional Resources
    Research CoresResearch Support ServicesResearch FoundationFunded TrainingBrowse Careers
  • Search
  • I want to
    Find a ResearcherFind a DivisionExplore Research TrainingView Research CoresView Support ServicesRead Research NewsRead the Research Annual ReportView Clinical TrialsBrowse Careers
Schedule an Appointment Directions International Sign Into MyChart Giving
Popular search terms
CoronavirusCareersUrgent CareMyChartNeurologyVolunteer

Salomonis Lab

  • Home
  • Researchers
  • Institutes, Divisions & Centers
  • B
  • Biomedical Informatics
  • Faculty Labs
  • Salomonis Lab
  • Research Areas

Salomonis Lab

  • Research Areas
  • Meet the Lab
  • Join the Lab

Research Areas

Research in the Salomonis lab focuses on the following areas of interest:

Image: cell transitions during stem cell specification to diverse lineages.

Defining Immune Cell-States Using Single-Cell Genomics

The advent of new innovative technologies for single-cell genomics provides nearly limitless opportunities for exploring tissue cellular variation at single-molecule resolution. We develop new computational approaches for single-cell RNA profiling to discover hidden heterogeneity within presumed homogenous populations, novel intermediates and developmental trajectories. Such analyses extend to the identification and removal of technical artifacts (multiplets) and alignment of cell-populations across experiments to obtain insights into disease mechanisms (cellHarmony).

Image: cell transitions during stem cell specification to diverse lineages.

Image: design schema for ongoing development of AltAnalyze.

Alternative Splicing in Human Diseases

Alternative splicing is a central driver of molecular diversity in complex organisms. Through the production of distinct mRNAs and proteins, the cell is able to increase the ways in which biological processes can be regulated. However, in many common and rare diseases, typical gene splicing is disrupted, resulting in aberrant gene products that can negatively impact cell structure, function, viability or communication. We study the interplay between gene splicing, transcription, and epigenetics to understand pathological states in which global gene splicing is altered, impacted cellular products that contribute to disease and possible avenues for therapeutic intervention.

Image: proteomic impact of alternative splicing in the gene CASP9.

Image: proteomic impact of alternative splicing in the gene CASP9.

Building Intuitive Bioinformatics Tools

The analysis of large genomics datasets is becoming ever more complex, resulting in a disconnect between experimental biologists and their own data. Our software developers aim to empower non-computational biologists to analyze and interpret their own data by creating intuitive analytical toolkits. To do this, we develop bioinformatics software that has multiple interfaces, including user-friendly graphical interfaces for non-computational users and well-documented command-line interfaces for computational analysts. Our group develops a broad range of applications for this purpose, including those for pathway and gene-set enrichment and visualization (GO-Elite), biological network analysis (NetPerspective), raw RNA-sequencing analysis, data visualization (AltAnalyze) and more.

Image: design schema for ongoing development of AltAnalyze.

Cincinnati Childrens

Connect With Us

Read the Cincinnati Children's Blog.Patients & Family Read the Cincinnati Children's Science Blog.Research & Science

Quick Links

Schedule an Appointment Make a Referral Find an Urgent Care Find a Doctor / Researcher Pay a Bill Sign In to MyChart Request Medical Records

Explore

Locations and DirectionsClinical ServicesConditions and TreatmentsVisitor and Patient InformationClinical TrialsEvents

About Us

About Cincinnati Children'sCareersNewsroomContact UsDownload Our Caren AppTerms of Use / Privacy Policies Non-Discrimination Notice
Give Today

3333 Burnet Avenue, Cincinnati, Ohio 45229-3026 | 1-513-636-4200 | 1-800-344-2462

© 1999-2021 Cincinnati Children's Hospital Medical Center. All rights reserved.

Ranked No. 3 in the U.S. News & World Report list of Best Children’s Hospitals. Best Places to Work Logo